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Autor Monteiro, Jânio |
Documentos disponibles escritos por este autor (7)
Crear una solicitud de compra Refinar búsquedaComputational Science – ICCS 2019 / Rodrigues, João M. F. ; Cardoso, Pedro J. S. ; Monteiro, Jânio ; Lam, Roberto ; Krzhizhanovskaya, Valeria V. ; Lees, Michael H. ; Dongarra, Jack J. ; Sloot, Peter M.A
TÃtulo : Computational Science – ICCS 2019 : 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part I / Tipo de documento: documento electrónico Autores: Rodrigues, João M. F., ; Cardoso, Pedro J. S., ; Monteiro, Jânio, ; Lam, Roberto, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M.A, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XIX, 659 p. 302 ilustraciones, 224 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-22734-0 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ciencias de la Computación Inteligencia artificial IngenierÃa Informática Red de computadoras diseño lógico Visión por computador Informática TeorÃa de la Computación IngenierÃa Informática y Redes Matemáticas de la Computación Clasificación: 40.151 Resumen: El conjunto de cinco volúmenes LNCS 11536, 11537, 11538, 11539 y 11540 constituye las actas de la 19.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2019, celebrada en Faro, Portugal, en junio de 2019. El total de 65 artÃculos completos y 168 artÃculos de talleres presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados de 573 presentaciones (228 presentaciones a la pista principal y 345 presentaciones a los talleres). Los artÃculos se organizaron en secciones temáticas denominadas: Parte I: Pista principal de ICCS Parte II: Pista principal de ICCS; Pista de avances en ciencias de la Tierra computacionales de alto rendimiento: aplicaciones y marcos; Pista de simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Pista de aplicaciones de métodos matriciales en inteligencia artificial y aprendizaje automático; EstrategÃa de Arquitectura, Lenguajes, Compilación y Soporte de Hardware para Sistemas Emergentes y Heterogéneos Parte III: EstrategÃa de DesafÃos Biomédicos y Bioinformáticos para la Ciencia de la Computación; EstrategÃa de Aprendizaje de Clasificadores a Partir de Datos DifÃciles; EstrategÃa de Finanzas Computacionales e Inteligencia de Negocios; EstrategÃa de Optimización Computacional, Modelado y Simulación; EstrategÃa de Ciencia Computacional en IoT y Sistemas Inteligentes Parte IV: EstrategÃa de Ciencias Computacionales Impulsadas por Datos; EstrategÃa de Aprendizaje Automático y Asimilación de Datos para Sistemas Dinámicos; EstrategÃa de Computación Marina en el Mundo Interconectado para el Beneficio de la Sociedad; EstrategÃa de Modelado y Simulación Multiescala; EstrategÃa de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación Parte V: EstrategÃa de Sistemas Inteligentes: Visión por Computador, Redes de Sensores y Aprendizaje Automático; EstrategÃa de Resolución de Problemas con Incertidumbres; EstrategÃa de Enseñanza de la Ciencia Computacional; El capÃtulo "Comparación de métodos de descomposición de dominios para la paralelización de modelos distribuidos de superficies terrestres" del Poster Track ICCS 2019 está disponible en acceso abierto bajo una licencia Creative Commons Atribución 4.0 Internacional a través de link.springer.com. Nota de contenido: ICCS Main Track -- Efficient Computation of Sparse Higher Derivative Tensors -- Rational Approximation of Scientific Data -- Design of a High-Performance Tensor-Vector Multiplication with BLAS -- High Performance Partial Coherent X-ray Ptychography -- Monte Carlo Analysis of Local Cross-Correlation ST-TBD Algorithm -- Optimization of Demodulation for Air-Gap Data Transmission based on Backlight Modulation of Screen -- Reinsertion algorithm based on destroy and repair operators for dynamic dial a ride problems -- Optimization heuristics for computing the Voronoi skeleton -- Transfer Learning for Leisure Centre Energy Consumption Prediction -- Forecasting Network Throughput of Remote Data Access in Computing Grids -- Accurately Simulating Energy Consumption of I/O-intensive Scientific Workflows -- Exploratory Visual Analysis of Anomalous Runtime Behavior in Streaming High Performance Computing Applications -- Analysis of the construction of similarity matrices on multi-core and many-core platforms using different similarity metrics -- High Performance Algorithms for Counting Collisions and Pairwise Interactions -- Comparing domain-decomposition methods for the parallelization of distributed land surface models -- Analysis and Detection on Abused Wildcard Domain Names Based on DNS Logs -- XScan: An Integrated Tool for Understanding Open Source Community-based Scientific Code -- An On-line Performance Introspection Framework for Task-based Runtime Systems -- Productivity-aware Design and Implementation of Distributed Tree-based Search Algorithms -- Development of Element-by-Element Kernel Algorithms in Unstructured Implicit Low-Order Finite-Element Earthquake Simulation for Many-Core Wide-SIMD CPUs -- A High-productivity Framework for Adaptive Mesh Refinement on Multiple GPUs -- Harmonizing Sequential and Random Access to Datasets in Organizationally Distributed Environments -- Towards Unknown Traffic Identification Using Deep Auto-Encoder and Constrained Clustering -- How to composeproduct pages to enhance the new users' interest in the item catalog? -- Rumor Detection on Social Media: A Multi-View Model using Self-Attention Mechanism -- EmoMix: Building An Emotion Lexicon for Compound Emotion Analysis -- Long Term Implications of Climate Change on Crop Planning -- Representation Learning of Taxonomies for Taxonomy Matching -- Creating Training Data for Scientific Named Entity Recognition with Minimal Human Effort -- Evaluating the benefits of Key-Value databases for scientific applications -- Scaling the Training of Recurrent Neural Networks on Sunway TaihuLight Supercomputer -- Immersed boundary method halo exchange in a hemodynamics application -- Future ramifications of age-dependent immunity levels for measles: explorations in an individual-based model -- Evolution of Hierarchical Structure & Reuse in iGEM Synthetic DNA Sequences -- Computational design of superhelices by local change of the intrinsic Curvature -- Spatial modeling of influenza outbreaks in Saint Petersburg using synthetic populations -- Six Degrees of Freedom Numerical Simulation of Tilt-Rotor Plane -- A Macroscopic Study on Dedicated Highway Lanes for Autonomous Vehicles -- An Agent-Based Model for Evaluating the Boarding and Alighting Efficiency of Autonomous Public Transport Vehicles -- MLP-IA: Multi-Label User Profile Based on Implicit Association Labels -- Estimating agriculture NIR images from aerial RGB data -- Simulation of Fluid Flow in Induced Fractures in Shale by the Lattice Boltzmann Method -- Incentive Mechanism for Cooperative Intrusion Response: A Dynamic Game Approach -- A k-Cover Model for Reliability-Aware Controller Placement in Software-Dened Networks -- Robust Ensemble-Based Evolutionary Calibration of the Numerical Wind Wave Model -- Approximate Repeated Administration Models for Pharmacometrics -- Evolutionary Optimization of Intruder Interception Plans for Mobile Robot Groups. Tipo de medio : Computadora Summary : The five-volume set LNCS 11536, 11537, 11538, 11539, and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019. The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019 Chapter "Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Computational Science – ICCS 2019 : 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part I / [documento electrónico] / Rodrigues, João M. F., ; Cardoso, Pedro J. S., ; Monteiro, Jânio, ; Lam, Roberto, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M.A, . - 1 ed. . - [s.l.] : Springer, 2019 . - XIX, 659 p. 302 ilustraciones, 224 ilustraciones en color.
ISBN : 978-3-030-22734-0
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Ciencias de la Computación Inteligencia artificial IngenierÃa Informática Red de computadoras diseño lógico Visión por computador Informática TeorÃa de la Computación IngenierÃa Informática y Redes Matemáticas de la Computación Clasificación: 40.151 Resumen: El conjunto de cinco volúmenes LNCS 11536, 11537, 11538, 11539 y 11540 constituye las actas de la 19.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2019, celebrada en Faro, Portugal, en junio de 2019. El total de 65 artÃculos completos y 168 artÃculos de talleres presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados de 573 presentaciones (228 presentaciones a la pista principal y 345 presentaciones a los talleres). Los artÃculos se organizaron en secciones temáticas denominadas: Parte I: Pista principal de ICCS Parte II: Pista principal de ICCS; Pista de avances en ciencias de la Tierra computacionales de alto rendimiento: aplicaciones y marcos; Pista de simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Pista de aplicaciones de métodos matriciales en inteligencia artificial y aprendizaje automático; EstrategÃa de Arquitectura, Lenguajes, Compilación y Soporte de Hardware para Sistemas Emergentes y Heterogéneos Parte III: EstrategÃa de DesafÃos Biomédicos y Bioinformáticos para la Ciencia de la Computación; EstrategÃa de Aprendizaje de Clasificadores a Partir de Datos DifÃciles; EstrategÃa de Finanzas Computacionales e Inteligencia de Negocios; EstrategÃa de Optimización Computacional, Modelado y Simulación; EstrategÃa de Ciencia Computacional en IoT y Sistemas Inteligentes Parte IV: EstrategÃa de Ciencias Computacionales Impulsadas por Datos; EstrategÃa de Aprendizaje Automático y Asimilación de Datos para Sistemas Dinámicos; EstrategÃa de Computación Marina en el Mundo Interconectado para el Beneficio de la Sociedad; EstrategÃa de Modelado y Simulación Multiescala; EstrategÃa de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación Parte V: EstrategÃa de Sistemas Inteligentes: Visión por Computador, Redes de Sensores y Aprendizaje Automático; EstrategÃa de Resolución de Problemas con Incertidumbres; EstrategÃa de Enseñanza de la Ciencia Computacional; El capÃtulo "Comparación de métodos de descomposición de dominios para la paralelización de modelos distribuidos de superficies terrestres" del Poster Track ICCS 2019 está disponible en acceso abierto bajo una licencia Creative Commons Atribución 4.0 Internacional a través de link.springer.com. Nota de contenido: ICCS Main Track -- Efficient Computation of Sparse Higher Derivative Tensors -- Rational Approximation of Scientific Data -- Design of a High-Performance Tensor-Vector Multiplication with BLAS -- High Performance Partial Coherent X-ray Ptychography -- Monte Carlo Analysis of Local Cross-Correlation ST-TBD Algorithm -- Optimization of Demodulation for Air-Gap Data Transmission based on Backlight Modulation of Screen -- Reinsertion algorithm based on destroy and repair operators for dynamic dial a ride problems -- Optimization heuristics for computing the Voronoi skeleton -- Transfer Learning for Leisure Centre Energy Consumption Prediction -- Forecasting Network Throughput of Remote Data Access in Computing Grids -- Accurately Simulating Energy Consumption of I/O-intensive Scientific Workflows -- Exploratory Visual Analysis of Anomalous Runtime Behavior in Streaming High Performance Computing Applications -- Analysis of the construction of similarity matrices on multi-core and many-core platforms using different similarity metrics -- High Performance Algorithms for Counting Collisions and Pairwise Interactions -- Comparing domain-decomposition methods for the parallelization of distributed land surface models -- Analysis and Detection on Abused Wildcard Domain Names Based on DNS Logs -- XScan: An Integrated Tool for Understanding Open Source Community-based Scientific Code -- An On-line Performance Introspection Framework for Task-based Runtime Systems -- Productivity-aware Design and Implementation of Distributed Tree-based Search Algorithms -- Development of Element-by-Element Kernel Algorithms in Unstructured Implicit Low-Order Finite-Element Earthquake Simulation for Many-Core Wide-SIMD CPUs -- A High-productivity Framework for Adaptive Mesh Refinement on Multiple GPUs -- Harmonizing Sequential and Random Access to Datasets in Organizationally Distributed Environments -- Towards Unknown Traffic Identification Using Deep Auto-Encoder and Constrained Clustering -- How to composeproduct pages to enhance the new users' interest in the item catalog? -- Rumor Detection on Social Media: A Multi-View Model using Self-Attention Mechanism -- EmoMix: Building An Emotion Lexicon for Compound Emotion Analysis -- Long Term Implications of Climate Change on Crop Planning -- Representation Learning of Taxonomies for Taxonomy Matching -- Creating Training Data for Scientific Named Entity Recognition with Minimal Human Effort -- Evaluating the benefits of Key-Value databases for scientific applications -- Scaling the Training of Recurrent Neural Networks on Sunway TaihuLight Supercomputer -- Immersed boundary method halo exchange in a hemodynamics application -- Future ramifications of age-dependent immunity levels for measles: explorations in an individual-based model -- Evolution of Hierarchical Structure & Reuse in iGEM Synthetic DNA Sequences -- Computational design of superhelices by local change of the intrinsic Curvature -- Spatial modeling of influenza outbreaks in Saint Petersburg using synthetic populations -- Six Degrees of Freedom Numerical Simulation of Tilt-Rotor Plane -- A Macroscopic Study on Dedicated Highway Lanes for Autonomous Vehicles -- An Agent-Based Model for Evaluating the Boarding and Alighting Efficiency of Autonomous Public Transport Vehicles -- MLP-IA: Multi-Label User Profile Based on Implicit Association Labels -- Estimating agriculture NIR images from aerial RGB data -- Simulation of Fluid Flow in Induced Fractures in Shale by the Lattice Boltzmann Method -- Incentive Mechanism for Cooperative Intrusion Response: A Dynamic Game Approach -- A k-Cover Model for Reliability-Aware Controller Placement in Software-Dened Networks -- Robust Ensemble-Based Evolutionary Calibration of the Numerical Wind Wave Model -- Approximate Repeated Administration Models for Pharmacometrics -- Evolutionary Optimization of Intruder Interception Plans for Mobile Robot Groups. Tipo de medio : Computadora Summary : The five-volume set LNCS 11536, 11537, 11538, 11539, and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019. The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019 Chapter "Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Computational Science – ICCS 2019 : 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part II / Tipo de documento: documento electrónico Autores: Rodrigues, João M. F., ; Cardoso, Pedro J. S., ; Monteiro, Jânio, ; Lam, Roberto, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M.A, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XIX, 679 p. 304 ilustraciones, 237 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-22741-8 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ciencias de la Computación Inteligencia artificial IngenierÃa Informática Red de computadoras diseño lógico Visión por computador Informática TeorÃa de la Computación IngenierÃa Informática y Redes Matemáticas de la Computación Clasificación: 40.151 Resumen: El conjunto de cinco volúmenes LNCS 11536, 11537, 11538, 11539 y 11540 constituye las actas de la 19.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2019, celebrada en Faro, Portugal, en junio de 2019. El total de 65 artÃculos completos y 168 artÃculos de taller presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados entre 573 presentaciones (228 presentaciones para la vÃa principal y 345 presentaciones para los talleres). Los artÃculos se organizaron en secciones temáticas denominadas: Parte I: VÃa principal de ICCS Parte II: VÃa principal de ICCS; Seguimiento de avances en ciencias computacionales de la tierra de alto rendimiento: aplicaciones y marcos; Seguimiento de simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Seguimiento de Aplicaciones de Métodos Matriciales en Inteligencia Artificial y Aprendizaje Automático; Pista de Arquitectura, Lenguajes, Compilación y Soporte de Hardware para Sistemas Emergentes y Heterogéneos Parte III: Pista de DesafÃos Biomédicos y Bioinformáticos para la Informática; Seguimiento del aprendizaje del clasificador a partir de datos difÃciles; Track de Finanzas Computacionales e Inteligencia de Negocios; Pista de Optimización Computacional, Modelado y Simulación; Pista de Ciencias Computacionales en IoT y Sistemas Inteligentes Parte IV: Pista de Ciencias Computacionales Basadas en Datos; Seguimiento de Machine Learning y Asimilación de Datos para Sistemas Dinámicos; Seguimiento de la Computación Marina en el Mundo Interconectado en Beneficio de la Sociedad; Track de Modelado y Simulación Multiescala; Pista de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación Parte V: Pista de Sistemas Inteligentes: Visión por Computador, Redes de Sensores y Aprendizaje Automático; Seguimiento de resolución de problemas con incertidumbres; Pista de Enseñanza de Ciencias Computacionales; El capÃtulo de Poster Track ICCS 2019 "Comparación de métodos de descomposición de dominios para la paralelización de modelos distribuidos de superficie terrestre" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. Nota de contenido: ICCS Main Track -- Synthesizing quantum circuits via numerical optimization -- Application of continuous time quantum walks to image segmentation -- Synchronized Detection and Recovery of Steganographic Messages with Adversarial Learning -- Multi-Source Manifold Outlier Detection -- A Fast kNN-based Approach for Time Sensitive Anomaly Detection over Data Streams -- n-gram Cache Performance in Statistical Extraction of Relevant Terms in Large Corpora -- Lung Nodule Diagnosis via Deep Learning and Swarm Intelligence -- Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection -- Machine learning for performance enhancement of molecular dynamics Simulations -- 2D-Convolution based Feature Fusion for Cross-Modal Correlation Learning -- DunDi: Improving Robustness of Neural Networks using Distance Metric Learning -- Autism Screening using Deep Embedding Representation -- Function and pattern extrapolation with product-unit networks -- Fast and Scalable Outlier Detection with Metric Access Methods -- Deep Learning Based LSTM and SeqToSeq Models to Detect Monsoon Spells of India -- Data Analysis for Atomic Shapes in Nuclear Science -- A Novel Partition Method for Busy Urban Area Based on Spatial-Temporal Information -- Mention Recommendation with Context-aware Probabilistic Matrix Factorization -- Synchronization under control in complex networks for a panic model -- Personalized Ranking in Dynamic Graphs Using Nonbacktracking Walks -- An Agent-Based Model for Emergent Opponent Behavior -- Fine-Grained Label Learning via Siamese Network for Cross-modal Information Retrieval -- MeshTrust: A CDN-centric Trust Model for Reputation Management on Video Traffic -- Optimizing spatial accessibility of company branches network with Constraints -- Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks -- A Fast 3D Finite-element Solver for Large-scale Seismic Soil Liquefaction Analysis -- Performance Evaluation of TsunamiInundation Simulation on SX-Aurora TSUBASA -- Parallel Computing for Module-Based Computational Experiment -- Heuristic Optimization with CPU-GPU Heterogeneous Wave Computing for Estimating Three-dimensional Inner Structure -- A Generic Interface for Godunov-type Finite Volume Methods on Adaptive Triangular Meshes -- Track of Agent-Based Simulations, Adaptive Algorithms and Solvers -- Distributed Memory Parallel Implementation of Agent Based Economic Models -- Augmenting Multi-Agent Negotiation in Interconnected Freight Transport Using Complex Networks Analysis -- Security-Aware Distributed Job Scheduling in Cloud Computing Systems: A Game-Theoretic Cellular Automata-based Approach -- Residual minimization for isogeometric analysis in reduced and mixed Forms -- CTCmodeler: an agent-based framework to simulate pathogen transmission along an inter-individual contact network in a hospital -- Socio-cognitive ACO in Multi-criteria Optimization -- Reconfiguration of the multi-channel communication system with hierarchical structure and distributed passive switching -- Multi-agent environment for decision support in production system using machine learning methods -- Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning -- Biclustering via Mixtures of Regression Models -- An Evaluation Metric for Content Providing Models, Recommender Systems and Online Campaigns -- Tolerance Near Sets and tNM Application in City Images -- Meta-Graph based Attention-aware Recommendation over Heterogeneous Information Networks -- Determining Adaptive Loss Functions and Algorithms for Predictive Models -- Adaptive Objective Functions and Distance Metrics for Recommendation Systems -- An Early Warning Method for Agricultural Products Price Spike Based on Artificial Neural Networks Prediction -- Predicting Heart Attack through Explainable Artificial Intelligence -- Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems -- Dynamic and Distributed Security Management for NoC based MPSoCs -- Scalable Fast Multipole Method for Electromagnetic Simulations. Tipo de medio : Computadora Summary : The five-volume set LNCS 11536, 11537, 11538, 11539 and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019. The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019 Chapter "Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Computational Science – ICCS 2019 : 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part II / [documento electrónico] / Rodrigues, João M. F., ; Cardoso, Pedro J. S., ; Monteiro, Jânio, ; Lam, Roberto, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M.A, . - 1 ed. . - [s.l.] : Springer, 2019 . - XIX, 679 p. 304 ilustraciones, 237 ilustraciones en color.
ISBN : 978-3-030-22741-8
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Ciencias de la Computación Inteligencia artificial IngenierÃa Informática Red de computadoras diseño lógico Visión por computador Informática TeorÃa de la Computación IngenierÃa Informática y Redes Matemáticas de la Computación Clasificación: 40.151 Resumen: El conjunto de cinco volúmenes LNCS 11536, 11537, 11538, 11539 y 11540 constituye las actas de la 19.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2019, celebrada en Faro, Portugal, en junio de 2019. El total de 65 artÃculos completos y 168 artÃculos de taller presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados entre 573 presentaciones (228 presentaciones para la vÃa principal y 345 presentaciones para los talleres). Los artÃculos se organizaron en secciones temáticas denominadas: Parte I: VÃa principal de ICCS Parte II: VÃa principal de ICCS; Seguimiento de avances en ciencias computacionales de la tierra de alto rendimiento: aplicaciones y marcos; Seguimiento de simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Seguimiento de Aplicaciones de Métodos Matriciales en Inteligencia Artificial y Aprendizaje Automático; Pista de Arquitectura, Lenguajes, Compilación y Soporte de Hardware para Sistemas Emergentes y Heterogéneos Parte III: Pista de DesafÃos Biomédicos y Bioinformáticos para la Informática; Seguimiento del aprendizaje del clasificador a partir de datos difÃciles; Track de Finanzas Computacionales e Inteligencia de Negocios; Pista de Optimización Computacional, Modelado y Simulación; Pista de Ciencias Computacionales en IoT y Sistemas Inteligentes Parte IV: Pista de Ciencias Computacionales Basadas en Datos; Seguimiento de Machine Learning y Asimilación de Datos para Sistemas Dinámicos; Seguimiento de la Computación Marina en el Mundo Interconectado en Beneficio de la Sociedad; Track de Modelado y Simulación Multiescala; Pista de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación Parte V: Pista de Sistemas Inteligentes: Visión por Computador, Redes de Sensores y Aprendizaje Automático; Seguimiento de resolución de problemas con incertidumbres; Pista de Enseñanza de Ciencias Computacionales; El capÃtulo de Poster Track ICCS 2019 "Comparación de métodos de descomposición de dominios para la paralelización de modelos distribuidos de superficie terrestre" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. Nota de contenido: ICCS Main Track -- Synthesizing quantum circuits via numerical optimization -- Application of continuous time quantum walks to image segmentation -- Synchronized Detection and Recovery of Steganographic Messages with Adversarial Learning -- Multi-Source Manifold Outlier Detection -- A Fast kNN-based Approach for Time Sensitive Anomaly Detection over Data Streams -- n-gram Cache Performance in Statistical Extraction of Relevant Terms in Large Corpora -- Lung Nodule Diagnosis via Deep Learning and Swarm Intelligence -- Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection -- Machine learning for performance enhancement of molecular dynamics Simulations -- 2D-Convolution based Feature Fusion for Cross-Modal Correlation Learning -- DunDi: Improving Robustness of Neural Networks using Distance Metric Learning -- Autism Screening using Deep Embedding Representation -- Function and pattern extrapolation with product-unit networks -- Fast and Scalable Outlier Detection with Metric Access Methods -- Deep Learning Based LSTM and SeqToSeq Models to Detect Monsoon Spells of India -- Data Analysis for Atomic Shapes in Nuclear Science -- A Novel Partition Method for Busy Urban Area Based on Spatial-Temporal Information -- Mention Recommendation with Context-aware Probabilistic Matrix Factorization -- Synchronization under control in complex networks for a panic model -- Personalized Ranking in Dynamic Graphs Using Nonbacktracking Walks -- An Agent-Based Model for Emergent Opponent Behavior -- Fine-Grained Label Learning via Siamese Network for Cross-modal Information Retrieval -- MeshTrust: A CDN-centric Trust Model for Reputation Management on Video Traffic -- Optimizing spatial accessibility of company branches network with Constraints -- Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks -- A Fast 3D Finite-element Solver for Large-scale Seismic Soil Liquefaction Analysis -- Performance Evaluation of TsunamiInundation Simulation on SX-Aurora TSUBASA -- Parallel Computing for Module-Based Computational Experiment -- Heuristic Optimization with CPU-GPU Heterogeneous Wave Computing for Estimating Three-dimensional Inner Structure -- A Generic Interface for Godunov-type Finite Volume Methods on Adaptive Triangular Meshes -- Track of Agent-Based Simulations, Adaptive Algorithms and Solvers -- Distributed Memory Parallel Implementation of Agent Based Economic Models -- Augmenting Multi-Agent Negotiation in Interconnected Freight Transport Using Complex Networks Analysis -- Security-Aware Distributed Job Scheduling in Cloud Computing Systems: A Game-Theoretic Cellular Automata-based Approach -- Residual minimization for isogeometric analysis in reduced and mixed Forms -- CTCmodeler: an agent-based framework to simulate pathogen transmission along an inter-individual contact network in a hospital -- Socio-cognitive ACO in Multi-criteria Optimization -- Reconfiguration of the multi-channel communication system with hierarchical structure and distributed passive switching -- Multi-agent environment for decision support in production system using machine learning methods -- Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning -- Biclustering via Mixtures of Regression Models -- An Evaluation Metric for Content Providing Models, Recommender Systems and Online Campaigns -- Tolerance Near Sets and tNM Application in City Images -- Meta-Graph based Attention-aware Recommendation over Heterogeneous Information Networks -- Determining Adaptive Loss Functions and Algorithms for Predictive Models -- Adaptive Objective Functions and Distance Metrics for Recommendation Systems -- An Early Warning Method for Agricultural Products Price Spike Based on Artificial Neural Networks Prediction -- Predicting Heart Attack through Explainable Artificial Intelligence -- Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems -- Dynamic and Distributed Security Management for NoC based MPSoCs -- Scalable Fast Multipole Method for Electromagnetic Simulations. Tipo de medio : Computadora Summary : The five-volume set LNCS 11536, 11537, 11538, 11539 and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019. The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019 Chapter "Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Computational Science – ICCS 2019 : 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part III / Tipo de documento: documento electrónico Autores: Rodrigues, João M. F., ; Cardoso, Pedro J. S., ; Monteiro, Jânio, ; Lam, Roberto, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M.A, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XX, 731 p. 308 ilustraciones, 230 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-22744-9 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ciencias de la Computación Inteligencia artificial IngenierÃa Informática Red de computadoras diseño lógico Visión por computador Informática TeorÃa de la Computación IngenierÃa Informática y Redes Matemáticas de la Computación Clasificación: 40.151 Resumen: El conjunto de cinco volúmenes LNCS 11536, 11537, 11538, 11539 y 11540 constituye las actas de la 19.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2019, celebrada en Faro, Portugal, en junio de 2019. El total de 65 artÃculos completos y 168 artÃculos de taller presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados entre 573 presentaciones (228 presentaciones para la vÃa principal y 345 presentaciones para los talleres). Los artÃculos se organizaron en secciones temáticas denominadas: Parte I: VÃa principal de ICCS Parte II: VÃa principal de ICCS; Seguimiento de avances en ciencias computacionales de la tierra de alto rendimiento: aplicaciones y marcos; Seguimiento de simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Seguimiento de Aplicaciones de Métodos Matriciales en Inteligencia Artificial y Aprendizaje Automático; Pista de Arquitectura, Lenguajes, Compilación y Soporte de Hardware para Sistemas Emergentes y Heterogéneos Parte III: Pista de DesafÃos Biomédicos y Bioinformáticos para la Informática; Seguimiento del aprendizaje del clasificador a partir de datos difÃciles; Track de Finanzas Computacionales e Inteligencia de Negocios; Pista de Optimización Computacional, Modelado y Simulación; Pista de Ciencias Computacionales en IoT y Sistemas Inteligentes Parte IV: Pista de Ciencias Computacionales Basadas en Datos; Seguimiento de Machine Learning y Asimilación de Datos para Sistemas Dinámicos; Seguimiento de la Computación Marina en el Mundo Interconectado en Beneficio de la Sociedad; Track de Modelado y Simulación Multiescala; Pista de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación Parte V: Pista de Sistemas Inteligentes: Visión por Computador, Redes de Sensores y Aprendizaje Automático; Seguimiento de resolución de problemas con incertidumbres; Pista de Enseñanza de Ciencias Computacionales; El capÃtulo de Poster Track ICCS 2019 "Comparación de métodos de descomposición de dominios para la paralelización de modelos distribuidos de superficie terrestre" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. Nota de contenido: Track of Biomedical and Bioinformatics Challenges for Computer Science -- Parallelization of an algorithm for automatic classification of medical data -- The Chain Alignment Problem -- Comparing Deep and Machine Learning approaches in bioinformatics: a miRNA-target prediction case study -- Automated epileptic seizure detection method based on the multi-attribute EEG feature pool and mRMR feature selection method -- An Approach for Semantic Data Integration in Cancer Studies -- A Study of the Electrical Propagation in Purkinje Fibers -- A Knowledge Based Self-Adaptive Differential Evolution Algorithm for Protein Structure Prediction -- A multi-objective artificial bee colony algorithm for the 3-D protein structure prediction problem -- Combining Polynomial Chaos Expansions and Genetic Algorithm for the coupling of electrophysiological models -- A cloud architecture for the execution of medical imaging biomarkers -- A Self-Adaptive Local Search Coordination in Multimeme Memetic Algorithmfor Molecular Docking -- Parallel CT reconstruction for multiple slices studies with SuiteSparseQR factorization package -- Track of Classifier Learning from Difficult Data -- ARFF data source library for distributed single/multiple instance, single/multiple output learning on Apache Spark -- On the role of cost-sensitive learning in imbalanced data oversampling -- Characterization of Handwritten Signature Images in Dissimilarity Representation Space -- Missing Features Reconstruction and Its Impact on Classification Accuracy -- A Deep Malware Detection Method Based on General-Purpose Register Features -- A Novel Distribution Analysis for SMOTE oversampling method in Handling Class Imbalance -- Forecasting purchase categories by transactional data: a comparative study of classification methods -- Recognizing Faults in Software Related Dicult Data -- Track of Computational Finance and Business Intelligence -- Research on Knowledge Discovery in Database of Traffic Flow State Based on Attribute Reduction -- Factor Integration based on Neural Networks for Factor Investing -- Brief Survey of Relation Extraction based on Distant Supervision -- Short-Term Traffic Congestion Forecasting Using Attention-Based Long Short-Term Memory Recurrent Neural Network -- Portfolio Selection based on Hierarchical Clustering and Inverse-variance Weighting -- A computational Technique for Asian option pricing model -- Improving portfolio optimization using weighted link prediction in dynamic stock networks -- Track of Computational Optimization, Modelling and Simulation -- Comparison of Constraint-Handling Techniques for Metaheuristic Optimization -- Dynamic Partitioning of Evolving Graph Streams using Nature-inspired Heuristics -- Bat Algorithm for Kernel Computation in Fractal Image Reconstruction -- Heuristic Rules for Coordinated Resources Allocation and Optimization in Distributed Computing -- Nonsmooth Newton's Method: Some Structure Exploitation -- Fully-Asynchronous Cache-Efficient Simulation of Detailed Neural Networks -- Application of the model with a non-Gaussian linear scalar filters to determine life expectancy, taking into account the cause of death -- Improving ODE integration on graphics processing units by reducing thread divergence -- Data Compression for Optimization of Molecular Dynamics System: Preserving Basins of Attraction -- An algorithm to perform hydraulic tomography based on a mixture model -- Rapid Multi-Band Patch Antenna Yield Estimation Using Polynomial Chaos-Kriging -- Accelerating Limited-Memory Quasi-Newton Convergence for Large-Scale Optimization -- Reduced-Cost Design Optimization of High-Frequency Structures Using Adaptive Jacobian Updates -- An Algorithm for Selecting Measurements with High Information Content Regarding Parameter Identification -- Optimizing parallel performance of the cell based blood flow simulation software HemoCell -- Surrogate-based optimisation of tidal turbine arrays: A case study for the Faro-Olhão Inlet -- Time-dependent link travel time approximation for large-scale dynamic traffic simulations -- Evaluation of the Suitability of Intel Xeon Phi Clusters for the Simulation of Ultrasound Wave Propagation using Pseudospectral Methods -- Track of Computational Science in IoT and Smart Systems -- Fog computing architecture based blockchain for industrial IoT -- Exploration of Data from Smart Bands in the Cloud and on the Edge - the Impact on the Data Storage Space -- Security of Low Level IoT Protocols -- FogFlow - computation organization for heterogeneous Fog computing Environments -- Research and Implementation of an Aquaculture Monitoring System Based on Flink, MongoDB and Kafka -- Enhanced Hydroponic Agriculture Environmental Monitoring: An Internet of Things Approach -- Noise Mapping through Mobile Crowdsourcing for Enhanced Living Environments -- Environmental Quality Supervision for Enhanced Living Environments and Laboratory Activity Support using IBM Watson Internet of Things Platform -- Combining Data from Fitness Trackers with Meteorological Sensor Measurements for Enhanced Monitoring of Sports Performance -- Collaborative Learning Agents (CLA) for Swarm Intelligence and Application to Health Monitoring of System of Systems -- Computationally Efficient Classification of Audio Events Using Binary Masked Cochleagrams. Tipo de medio : Computadora Summary : The five-volume set LNCS 11536, 11537, 11538, 11539 and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019. The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019 Chapter "Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Computational Science – ICCS 2019 : 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part III / [documento electrónico] / Rodrigues, João M. F., ; Cardoso, Pedro J. S., ; Monteiro, Jânio, ; Lam, Roberto, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M.A, . - 1 ed. . - [s.l.] : Springer, 2019 . - XX, 731 p. 308 ilustraciones, 230 ilustraciones en color.
ISBN : 978-3-030-22744-9
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Ciencias de la Computación Inteligencia artificial IngenierÃa Informática Red de computadoras diseño lógico Visión por computador Informática TeorÃa de la Computación IngenierÃa Informática y Redes Matemáticas de la Computación Clasificación: 40.151 Resumen: El conjunto de cinco volúmenes LNCS 11536, 11537, 11538, 11539 y 11540 constituye las actas de la 19.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2019, celebrada en Faro, Portugal, en junio de 2019. El total de 65 artÃculos completos y 168 artÃculos de taller presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados entre 573 presentaciones (228 presentaciones para la vÃa principal y 345 presentaciones para los talleres). Los artÃculos se organizaron en secciones temáticas denominadas: Parte I: VÃa principal de ICCS Parte II: VÃa principal de ICCS; Seguimiento de avances en ciencias computacionales de la tierra de alto rendimiento: aplicaciones y marcos; Seguimiento de simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Seguimiento de Aplicaciones de Métodos Matriciales en Inteligencia Artificial y Aprendizaje Automático; Pista de Arquitectura, Lenguajes, Compilación y Soporte de Hardware para Sistemas Emergentes y Heterogéneos Parte III: Pista de DesafÃos Biomédicos y Bioinformáticos para la Informática; Seguimiento del aprendizaje del clasificador a partir de datos difÃciles; Track de Finanzas Computacionales e Inteligencia de Negocios; Pista de Optimización Computacional, Modelado y Simulación; Pista de Ciencias Computacionales en IoT y Sistemas Inteligentes Parte IV: Pista de Ciencias Computacionales Basadas en Datos; Seguimiento de Machine Learning y Asimilación de Datos para Sistemas Dinámicos; Seguimiento de la Computación Marina en el Mundo Interconectado en Beneficio de la Sociedad; Track de Modelado y Simulación Multiescala; Pista de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación Parte V: Pista de Sistemas Inteligentes: Visión por Computador, Redes de Sensores y Aprendizaje Automático; Seguimiento de resolución de problemas con incertidumbres; Pista de Enseñanza de Ciencias Computacionales; El capÃtulo de Poster Track ICCS 2019 "Comparación de métodos de descomposición de dominios para la paralelización de modelos distribuidos de superficie terrestre" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. Nota de contenido: Track of Biomedical and Bioinformatics Challenges for Computer Science -- Parallelization of an algorithm for automatic classification of medical data -- The Chain Alignment Problem -- Comparing Deep and Machine Learning approaches in bioinformatics: a miRNA-target prediction case study -- Automated epileptic seizure detection method based on the multi-attribute EEG feature pool and mRMR feature selection method -- An Approach for Semantic Data Integration in Cancer Studies -- A Study of the Electrical Propagation in Purkinje Fibers -- A Knowledge Based Self-Adaptive Differential Evolution Algorithm for Protein Structure Prediction -- A multi-objective artificial bee colony algorithm for the 3-D protein structure prediction problem -- Combining Polynomial Chaos Expansions and Genetic Algorithm for the coupling of electrophysiological models -- A cloud architecture for the execution of medical imaging biomarkers -- A Self-Adaptive Local Search Coordination in Multimeme Memetic Algorithmfor Molecular Docking -- Parallel CT reconstruction for multiple slices studies with SuiteSparseQR factorization package -- Track of Classifier Learning from Difficult Data -- ARFF data source library for distributed single/multiple instance, single/multiple output learning on Apache Spark -- On the role of cost-sensitive learning in imbalanced data oversampling -- Characterization of Handwritten Signature Images in Dissimilarity Representation Space -- Missing Features Reconstruction and Its Impact on Classification Accuracy -- A Deep Malware Detection Method Based on General-Purpose Register Features -- A Novel Distribution Analysis for SMOTE oversampling method in Handling Class Imbalance -- Forecasting purchase categories by transactional data: a comparative study of classification methods -- Recognizing Faults in Software Related Dicult Data -- Track of Computational Finance and Business Intelligence -- Research on Knowledge Discovery in Database of Traffic Flow State Based on Attribute Reduction -- Factor Integration based on Neural Networks for Factor Investing -- Brief Survey of Relation Extraction based on Distant Supervision -- Short-Term Traffic Congestion Forecasting Using Attention-Based Long Short-Term Memory Recurrent Neural Network -- Portfolio Selection based on Hierarchical Clustering and Inverse-variance Weighting -- A computational Technique for Asian option pricing model -- Improving portfolio optimization using weighted link prediction in dynamic stock networks -- Track of Computational Optimization, Modelling and Simulation -- Comparison of Constraint-Handling Techniques for Metaheuristic Optimization -- Dynamic Partitioning of Evolving Graph Streams using Nature-inspired Heuristics -- Bat Algorithm for Kernel Computation in Fractal Image Reconstruction -- Heuristic Rules for Coordinated Resources Allocation and Optimization in Distributed Computing -- Nonsmooth Newton's Method: Some Structure Exploitation -- Fully-Asynchronous Cache-Efficient Simulation of Detailed Neural Networks -- Application of the model with a non-Gaussian linear scalar filters to determine life expectancy, taking into account the cause of death -- Improving ODE integration on graphics processing units by reducing thread divergence -- Data Compression for Optimization of Molecular Dynamics System: Preserving Basins of Attraction -- An algorithm to perform hydraulic tomography based on a mixture model -- Rapid Multi-Band Patch Antenna Yield Estimation Using Polynomial Chaos-Kriging -- Accelerating Limited-Memory Quasi-Newton Convergence for Large-Scale Optimization -- Reduced-Cost Design Optimization of High-Frequency Structures Using Adaptive Jacobian Updates -- An Algorithm for Selecting Measurements with High Information Content Regarding Parameter Identification -- Optimizing parallel performance of the cell based blood flow simulation software HemoCell -- Surrogate-based optimisation of tidal turbine arrays: A case study for the Faro-Olhão Inlet -- Time-dependent link travel time approximation for large-scale dynamic traffic simulations -- Evaluation of the Suitability of Intel Xeon Phi Clusters for the Simulation of Ultrasound Wave Propagation using Pseudospectral Methods -- Track of Computational Science in IoT and Smart Systems -- Fog computing architecture based blockchain for industrial IoT -- Exploration of Data from Smart Bands in the Cloud and on the Edge - the Impact on the Data Storage Space -- Security of Low Level IoT Protocols -- FogFlow - computation organization for heterogeneous Fog computing Environments -- Research and Implementation of an Aquaculture Monitoring System Based on Flink, MongoDB and Kafka -- Enhanced Hydroponic Agriculture Environmental Monitoring: An Internet of Things Approach -- Noise Mapping through Mobile Crowdsourcing for Enhanced Living Environments -- Environmental Quality Supervision for Enhanced Living Environments and Laboratory Activity Support using IBM Watson Internet of Things Platform -- Combining Data from Fitness Trackers with Meteorological Sensor Measurements for Enhanced Monitoring of Sports Performance -- Collaborative Learning Agents (CLA) for Swarm Intelligence and Application to Health Monitoring of System of Systems -- Computationally Efficient Classification of Audio Events Using Binary Masked Cochleagrams. Tipo de medio : Computadora Summary : The five-volume set LNCS 11536, 11537, 11538, 11539 and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019. The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019 Chapter "Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Computational Science – ICCS 2019 : 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part IV / Tipo de documento: documento electrónico Autores: Rodrigues, João M. F., ; Cardoso, Pedro J. S., ; Monteiro, Jânio, ; Lam, Roberto, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M.A, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XIX, 663 p. 407 ilustraciones, 266 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-22747-0 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ciencias de la Computación Inteligencia artificial IngenierÃa Informática Red de computadoras diseño lógico Visión por computador Informática TeorÃa de la Computación IngenierÃa Informática y Redes Matemáticas de la Computación Clasificación: 40.151 Resumen: El conjunto de cinco volúmenes LNCS 11536, 11537, 11538, 11539 y 11540 constituye las actas de la 19.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2019, celebrada en Faro, Portugal, en junio de 2019. El total de 65 artÃculos completos y 168 artÃculos de taller presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados entre 573 presentaciones (228 presentaciones para la vÃa principal y 345 presentaciones para los talleres). Los artÃculos se organizaron en secciones temáticas denominadas: Parte I: VÃa principal de ICCS Parte II: VÃa principal de ICCS; Seguimiento de avances en ciencias computacionales de la tierra de alto rendimiento: aplicaciones y marcos; Seguimiento de simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Seguimiento de Aplicaciones de Métodos Matriciales en Inteligencia Artificial y Aprendizaje Automático; Pista de Arquitectura, Lenguajes, Compilación y Soporte de Hardware para Sistemas Emergentes y Heterogéneos Parte III: Pista de DesafÃos Biomédicos y Bioinformáticos para la Informática; Seguimiento del aprendizaje del clasificador a partir de datos difÃciles; Track de Finanzas Computacionales e Inteligencia de Negocios; Pista de Optimización Computacional, Modelado y Simulación; Pista de Ciencias Computacionales en IoT y Sistemas Inteligentes Parte IV: Pista de Ciencias Computacionales Basadas en Datos; Seguimiento de Machine Learning y Asimilación de Datos para Sistemas Dinámicos; Seguimiento de la Computación Marina en el Mundo Interconectado en Beneficio de la Sociedad; Track de Modelado y Simulación Multiescala; Pista de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación Parte V: Pista de Sistemas Inteligentes: Visión por Computador, Redes de Sensores y Aprendizaje Automático; Seguimiento de resolución de problemas con incertidumbres; Pista de Enseñanza de Ciencias Computacionales; El capÃtulo de Poster Track ICCS 2019 "Comparación de métodos de descomposición de dominios para la paralelización de modelos distribuidos de superficie terrestre" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. Nota de contenido: Track of Data-Driven Computational Sciences -- Nonparametric Approach to Weak Signal Detection in the Search for Extraterrestrial Intelligence (SETI) -- Parallel Strongly Connected Components Detection with Multi-partition on GPUs -- Efficient Parallel Associative Classification based on Rules Memoization -- Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data -- An Implementation of Coupled Dual-Porosity-Stokes Model with FEniCS -- Anomaly Detection in Social Media using Recurrent Neural Network -- Conditional BERT Contextual Augmentation -- An innovative and reliable water leak detection service supported by data-intensive remote sensing processing -- Track of Machine Learning and Data Assimilation for Dynamical Systems -- Scalable Weak Constraint Gaussian Processes -- A Learning-Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models -- Kernel embedded nonlinear observational mappings in the variational mapping particle filter -- Data assimilation in a nonlinear time-delayed dynamical system with Lagrangian optimization -- Machine learning to approximate solutions of ordinary differential equations: Neural networks vs. linear regressors -- Kernel Methods for Discrete-Time Linear Equations -- Physics-Informed Echo State Networks for Chaotic Systems Forecasting -- Tuning Covariance Localization using Machine Learning -- Track of Marine Computing in the Interconnected World for the Benefit of the Society -- Marine and Atmospheric Forecast Computational System for Nautical Sports in Guanabara Bay (Brazil) -- An integrated perspective of the Operational Forecasting System in Rias Baixas (Galicia, Spain) with observational data and end-users -- Climate evaluation of a high-resolution regional model over the Canary current upwelling system -- Validating Ocean General Circulation Models via Lagrangian particle simulation and data from drifting buoys -- Implementation of a 3-dimentional hydrodynamic model to a fish aquaculture area in Sines, Portugal - A down-scaling approach -- Numerical characterization of the Douro River plume -- The Impact of Sea Level Rise in the Guadiana Estuary -- Estuarine light attenuation modelling towards improved management of coastal fisheries -- The NARVAL software toolbox in support of ocean model skill assessment at regional and coastal scales -- Salinity control on Saigon river downstream of Dautieng reservoir within multi-objective simulation-optimisation framework for reservoir operation -- Clustering hydrographic conditions in Galician estuaries -- Early Warning Systems for Shellfish Safety - The Pivotal Role of Computational Science -- Track of Multiscale Modelling and Simulation -- Creating a reusable cross-disciplinary multi-scale and multi-physics framework: from AMUSE to OMUSE and beyond -- A Semi-Lagrangian Multiscale Framework for Advection-Dominant Problems -- A Multiscale Model of Atherosclerotic Plaque Development: toward a Coupling between an Agent-Based Model and CFDSimulations -- Special Aspects of Hybrid Kinetic-Hydrodynamic Model When Describing the Shape of Shockwaves -- Computational Analysis of Pulsed Radiofrequency Ablation in Treating Chronic Pain -- MaMiCo: Parallel Noise Reduction for Multi-Instance Molecular-Continuum Flow Simulation -- Projection-Based Model Reduction Using Asymptotic Basis Functions -- Introducing VECMAtk - verification, validation and uncertainty quantification for multiscale and HPC simulations -- Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation -- deal.II Implementation of a Weak Galerkin Finite Element Solver for Darcy Flow -- Recovery of the Interface Velocity for the Incompressible Flow in Enhanced Velocity Mixed Finite Element Method -- A New Approach to Solve the Stokes-Darcy-Transport System Applying Stabilized Finite Element Methods -- Energy Stable Simulation of Two-Phase Equilibria with Capillarity -- Effects of Numerical Integration on DLM/FD Method for Solving Interface Problems with Body-Unfitted Meshes -- Application of a Double Potential Method to Simulate Incompressible Viscous Flows -- A bubble formation in the two-phase system -- Performance of a Two-Path Aliasing Free Calculation of a Spectral DNS Code -- DNS of mass transfer from bubbles rising in a vertical channel -- A Hybrid Vortex Method for the simulation of 3D incompressible flows -- Accelerated Phase Equilibrium Predictions for Subsurface Reservoirs Using Deep Learning Methods -- Study on the thermal-hydraulic coupling model for the enhanced geothermal systems -- Modelling of thermal transport in wire + arc additive manufacturing process. Tipo de medio : Computadora Summary : The five-volume set LNCS 11536, 11537, 11538, 11539 and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019. The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019 Chapter "Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Computational Science – ICCS 2019 : 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part IV / [documento electrónico] / Rodrigues, João M. F., ; Cardoso, Pedro J. S., ; Monteiro, Jânio, ; Lam, Roberto, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M.A, . - 1 ed. . - [s.l.] : Springer, 2019 . - XIX, 663 p. 407 ilustraciones, 266 ilustraciones en color.
ISBN : 978-3-030-22747-0
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Ciencias de la Computación Inteligencia artificial IngenierÃa Informática Red de computadoras diseño lógico Visión por computador Informática TeorÃa de la Computación IngenierÃa Informática y Redes Matemáticas de la Computación Clasificación: 40.151 Resumen: El conjunto de cinco volúmenes LNCS 11536, 11537, 11538, 11539 y 11540 constituye las actas de la 19.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2019, celebrada en Faro, Portugal, en junio de 2019. El total de 65 artÃculos completos y 168 artÃculos de taller presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados entre 573 presentaciones (228 presentaciones para la vÃa principal y 345 presentaciones para los talleres). Los artÃculos se organizaron en secciones temáticas denominadas: Parte I: VÃa principal de ICCS Parte II: VÃa principal de ICCS; Seguimiento de avances en ciencias computacionales de la tierra de alto rendimiento: aplicaciones y marcos; Seguimiento de simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Seguimiento de Aplicaciones de Métodos Matriciales en Inteligencia Artificial y Aprendizaje Automático; Pista de Arquitectura, Lenguajes, Compilación y Soporte de Hardware para Sistemas Emergentes y Heterogéneos Parte III: Pista de DesafÃos Biomédicos y Bioinformáticos para la Informática; Seguimiento del aprendizaje del clasificador a partir de datos difÃciles; Track de Finanzas Computacionales e Inteligencia de Negocios; Pista de Optimización Computacional, Modelado y Simulación; Pista de Ciencias Computacionales en IoT y Sistemas Inteligentes Parte IV: Pista de Ciencias Computacionales Basadas en Datos; Seguimiento de Machine Learning y Asimilación de Datos para Sistemas Dinámicos; Seguimiento de la Computación Marina en el Mundo Interconectado en Beneficio de la Sociedad; Track de Modelado y Simulación Multiescala; Pista de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación Parte V: Pista de Sistemas Inteligentes: Visión por Computador, Redes de Sensores y Aprendizaje Automático; Seguimiento de resolución de problemas con incertidumbres; Pista de Enseñanza de Ciencias Computacionales; El capÃtulo de Poster Track ICCS 2019 "Comparación de métodos de descomposición de dominios para la paralelización de modelos distribuidos de superficie terrestre" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. Nota de contenido: Track of Data-Driven Computational Sciences -- Nonparametric Approach to Weak Signal Detection in the Search for Extraterrestrial Intelligence (SETI) -- Parallel Strongly Connected Components Detection with Multi-partition on GPUs -- Efficient Parallel Associative Classification based on Rules Memoization -- Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data -- An Implementation of Coupled Dual-Porosity-Stokes Model with FEniCS -- Anomaly Detection in Social Media using Recurrent Neural Network -- Conditional BERT Contextual Augmentation -- An innovative and reliable water leak detection service supported by data-intensive remote sensing processing -- Track of Machine Learning and Data Assimilation for Dynamical Systems -- Scalable Weak Constraint Gaussian Processes -- A Learning-Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models -- Kernel embedded nonlinear observational mappings in the variational mapping particle filter -- Data assimilation in a nonlinear time-delayed dynamical system with Lagrangian optimization -- Machine learning to approximate solutions of ordinary differential equations: Neural networks vs. linear regressors -- Kernel Methods for Discrete-Time Linear Equations -- Physics-Informed Echo State Networks for Chaotic Systems Forecasting -- Tuning Covariance Localization using Machine Learning -- Track of Marine Computing in the Interconnected World for the Benefit of the Society -- Marine and Atmospheric Forecast Computational System for Nautical Sports in Guanabara Bay (Brazil) -- An integrated perspective of the Operational Forecasting System in Rias Baixas (Galicia, Spain) with observational data and end-users -- Climate evaluation of a high-resolution regional model over the Canary current upwelling system -- Validating Ocean General Circulation Models via Lagrangian particle simulation and data from drifting buoys -- Implementation of a 3-dimentional hydrodynamic model to a fish aquaculture area in Sines, Portugal - A down-scaling approach -- Numerical characterization of the Douro River plume -- The Impact of Sea Level Rise in the Guadiana Estuary -- Estuarine light attenuation modelling towards improved management of coastal fisheries -- The NARVAL software toolbox in support of ocean model skill assessment at regional and coastal scales -- Salinity control on Saigon river downstream of Dautieng reservoir within multi-objective simulation-optimisation framework for reservoir operation -- Clustering hydrographic conditions in Galician estuaries -- Early Warning Systems for Shellfish Safety - The Pivotal Role of Computational Science -- Track of Multiscale Modelling and Simulation -- Creating a reusable cross-disciplinary multi-scale and multi-physics framework: from AMUSE to OMUSE and beyond -- A Semi-Lagrangian Multiscale Framework for Advection-Dominant Problems -- A Multiscale Model of Atherosclerotic Plaque Development: toward a Coupling between an Agent-Based Model and CFDSimulations -- Special Aspects of Hybrid Kinetic-Hydrodynamic Model When Describing the Shape of Shockwaves -- Computational Analysis of Pulsed Radiofrequency Ablation in Treating Chronic Pain -- MaMiCo: Parallel Noise Reduction for Multi-Instance Molecular-Continuum Flow Simulation -- Projection-Based Model Reduction Using Asymptotic Basis Functions -- Introducing VECMAtk - verification, validation and uncertainty quantification for multiscale and HPC simulations -- Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation -- deal.II Implementation of a Weak Galerkin Finite Element Solver for Darcy Flow -- Recovery of the Interface Velocity for the Incompressible Flow in Enhanced Velocity Mixed Finite Element Method -- A New Approach to Solve the Stokes-Darcy-Transport System Applying Stabilized Finite Element Methods -- Energy Stable Simulation of Two-Phase Equilibria with Capillarity -- Effects of Numerical Integration on DLM/FD Method for Solving Interface Problems with Body-Unfitted Meshes -- Application of a Double Potential Method to Simulate Incompressible Viscous Flows -- A bubble formation in the two-phase system -- Performance of a Two-Path Aliasing Free Calculation of a Spectral DNS Code -- DNS of mass transfer from bubbles rising in a vertical channel -- A Hybrid Vortex Method for the simulation of 3D incompressible flows -- Accelerated Phase Equilibrium Predictions for Subsurface Reservoirs Using Deep Learning Methods -- Study on the thermal-hydraulic coupling model for the enhanced geothermal systems -- Modelling of thermal transport in wire + arc additive manufacturing process. Tipo de medio : Computadora Summary : The five-volume set LNCS 11536, 11537, 11538, 11539 and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019. The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019 Chapter "Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Computational Science – ICCS 2019 : 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part V / Tipo de documento: documento electrónico Autores: Rodrigues, João M. F., ; Cardoso, Pedro J. S., ; Monteiro, Jânio, ; Lam, Roberto, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M.A, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XXII, 812 p. 458 ilustraciones, 279 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-22750-0 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ciencias de la Computación Inteligencia artificial IngenierÃa Informática Red de computadoras diseño lógico Visión por computador Informática TeorÃa de la Computación IngenierÃa Informática y Redes Matemáticas de la Computación Clasificación: 40.151 Resumen: El conjunto de cinco volúmenes LNCS 11536, 11537, 11538, 11539 y 11540 constituye las actas de la 19.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2019, celebrada en Faro, Portugal, en junio de 2019. El total de 65 artÃculos completos y 168 artÃculos de talleres presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados de 573 presentaciones (228 presentaciones a la pista principal y 345 presentaciones a los talleres). Los artÃculos se organizaron en secciones temáticas denominadas: Parte I: Pista principal de ICCS Parte II: Pista principal de ICCS; Pista de avances en ciencias de la Tierra computacionales de alto rendimiento: aplicaciones y marcos; Pista de simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Pista de aplicaciones de métodos matriciales en inteligencia artificial y aprendizaje automático; EstrategÃa de Arquitectura, Lenguajes, Compilación y Soporte de Hardware para Sistemas Emergentes y Heterogéneos Parte III: EstrategÃa de DesafÃos Biomédicos y Bioinformáticos para la Ciencia de la Computación; EstrategÃa de Aprendizaje de Clasificadores a Partir de Datos DifÃciles; EstrategÃa de Finanzas Computacionales e Inteligencia de Negocios; EstrategÃa de Optimización Computacional, Modelado y Simulación; EstrategÃa de Ciencia Computacional en IoT y Sistemas Inteligentes Parte IV: EstrategÃa de Ciencias Computacionales Impulsadas por Datos; EstrategÃa de Aprendizaje Automático y Asimilación de Datos para Sistemas Dinámicos; EstrategÃa de Computación Marina en el Mundo Interconectado para el Beneficio de la Sociedad; EstrategÃa de Modelado y Simulación Multiescala; EstrategÃa de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación Parte V: EstrategÃa de Sistemas Inteligentes: Visión por Computador, Redes de Sensores y Aprendizaje Automático; EstrategÃa de Resolución de Problemas con Incertidumbres; EstrategÃa de Enseñanza de la Ciencia Computacional; El capÃtulo "Comparación de métodos de descomposición de dominios para la paralelización de modelos distribuidos de superficies terrestres" del Poster Track ICCS 2019 está disponible en acceso abierto bajo una licencia Creative Commons Atribución 4.0 Internacional a través de link.springer.com. Nota de contenido: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning -- Effective Self Attention Modeling for Aspect Based Sentiment Analysis -- Vision and crowdsensing technology for an optimal response in physical-security -- New Intelligent Tools to Adapt NL-interface to Corporate Environments -- Asymmetric Deep Cross-modal Hashing -- Applying NSGA-II to a Multiple Objective Dial a Ride Problem -- Smart Campus Parking – Parking Made Easy -- The network topology of connecting Things: Defence of IoT graph in the smart city -- SILKNOWViz: Spatio-temporal data ontology viewer -- Ontology-Driven Automation of IoT-Based Human-Machine Interfaces Development -- Towards Parameter-Optimized Vessel Re-identification based on IORnet -- Towards Low-Cost Indoor Localisation Using a Multi-camera System -- A New Shape Descriptor and Segmentation Algorithm for Automated Classifying of Multiple-Morphological Filamentous Algae -- Application of hierarchical clustering for object tracking with aDynamic Vision Sensor -- Binarization of Degraded Document Images with Generalized Gaussian Distribution -- Nonlinear dimensionality reduction in texture classification: is manifold learning better than PCA? -- Event-Oriented Keyphrase Extraction Based on Bi-Clustering Model -- Track of Solving Problems with Uncertainties -- Path-Finding with a Full-Vectorized GPU Implementation of Evolutionary Algorithms in an Online Crowd Model Simulation Framework -- Analysing the trade-off between computational performance and representation richness in ontology-based systems -- A Framework for Distributed Approximation of Moments with Higher-Order Derivatives through Automatic Differentiation -- IPIES for Uncertainly Dened Shape of Boundary, Boundary Conditions and Other Parameters in Elasticity Problems -- Enabling UQ for complex modelling workflows -- Ternary-Decimal Exclusion Algorithm for Multiattribute Utility Functions -- Sums of Key Functions Generating a Cryptosystem -- Consistent Conjectures in Globalization Problems -- Verification on the Ensemble of Independent Numerical Solutions -- On the estimation of the accuracy of numerical solutions in CFD problems -- "Why did you do that?" Explaining black box models with Inductive Synthesis -- Predictive Analytics with Factor Variance Association -- Track of Teaching Computational Science -- Redesigning Interactive Educational Modules for Combinatorial Scientific Computing -- A Learner-Centered Approach to Teaching Computational Modeling, Data Analysis, and Programming -- Enabling Interdisciplinary Instruction in Computer Science and Humanities: An Innovative Teaching and Learning Model Customized for Small Liberal Arts Colleges -- A project-based course on software development for (engineering) research -- Programming paradigms for computational science: three fundamental Models -- Numerical Analysis project in ODEs for undergraduate students -- Poster Track ICCS 2019 -- Mixed Finite Element Solution for the Natural-Gas Dual-Mechanism Model -- On the Feasibility of Distributed Process Mining in Healthcare -- How to Plan Roadworks in Urban Regions? A Principled Approach Based on AI Planning -- Big data approach to fluid dynamics visualization problem -- Dolphin Kick Swimmer using the Unstructured Moving Mesh Method -- The performance prediction and improvement of SPH with the interaction-list-sharing method on PEZY-SCs -- Influence of architectural features of the SNC-4 mode of the Intel Xeon Phi KNL on matrix multiplication -- Improving Planning Performance in PDDL+ Domains via Automated Predicate Reformulation -- The Case of iOS vs. Android: Applying System Dynamics to Digital Business Platforms -- Sockpuppet Detection in Social Network via Propagation Tree -- Exploring the performance of fine-grained synchronization and data exchange across process boundaries on modern multi-core architectures -- Accelerating Wild Fire Simulator using GPU -- Augmented Reality for Real-time Navigation Assistance to Wheelchair Users with Obstacles' Management -- p3Enum: A new Parameterizable and Shared-Memory Parallelized Shortest Vector Problem Solver -- Rendering Non-Euclidean Space in Real-Time Using Spherical and Hyperbolic Trigonometry -- Improving Academic Homepage Identification from the Web using Neural Networks -- Combining Fuzzy Logic and CEP Technology to Improve Air Quality in Cities -- Parallel parametric linear programming solving, and application to polyhedral computations -- Automating the Generation of Comparison Weights for Enhancing the AHP Decision-Making Process -- Parallel algorithm based on Singular Value Decomposition for high performance training of Neural Networks -- In-Situ Visualization with Membrane Layer for Movie-based Visualization -- Genetic Algorithm based EV Scheduling for On-Demand Public Transit System -- Short-term irradiance forecasting on the basis of spatially distributed Measurements -- Multi-GPU Acceleration of the iPIC3D Implicit Particle-in-Cell Code -- Reducing Symbol Search Overheadon Stream-based Data Compression -- Stabilized variational formulation for solving cells response to applied electric field -- Data-driven partial derivative equations discovery with evolutionary Approach -- Predicting Cervical Cancer with Metaheuristic optimizers for training LSTM -- Top k 2-Clubs in a Network: A Genetic Algorithm -- CA-RPT: Context-Aware Road Passage Time Estimation for Urban Trac -- Modelling and Analysis of Complex Patient-Treatment Process using GraphMiner Toolbox -- Combining Algorithmic Rethinking and AVX-512 Intrinsics for Efficient Simulation of Subcellular Calcium Signaling -- Ocean Circulation Hindcast at the Brazilian Equatorial Margin -- A matrix-free eigenvalue solver for the multigroup neutron diffusion Equation -- Path-dependent interest rate option pricing with jumps and stochastic Intensities -- Composite data types in dynamic dataflow languages as copyless memory sharing mechanism -- A coupled food security and refugee movement model for the South Sudan conflict -- A Proposal to Model Ancient Silk Weaving Techniques and Extracting Information from Digital Imagery - Ongoing Results of the SILKNOW Project -- A Comparison of Selected Variable Ordering Methods for NFA Induction -- Traffic3D: A Rich 3D-Traffic Environment to Train Intelligent Agents -- Energy Efficiency Evaluation of Distributed Systems -- Support for high-level quantum Bayesian inference -- Financial Time Series Motif Discovery and Analysis Using VALMOD -- Profiling of Household Residents' Electricity Consumption Behavior using Clustering Analysis -- DNAS-STriDE Framework for Human Behavior Modelling in Dynamic Environments -- OPENCoastS: An open-access app for sharing coastal prediction information for management and recreational use. Tipo de medio : Computadora Summary : The five-volume set LNCS 11536, 11537, 11538, 11539, and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019. The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019 Chapter "Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Computational Science – ICCS 2019 : 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part V / [documento electrónico] / Rodrigues, João M. F., ; Cardoso, Pedro J. S., ; Monteiro, Jânio, ; Lam, Roberto, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M.A, . - 1 ed. . - [s.l.] : Springer, 2019 . - XXII, 812 p. 458 ilustraciones, 279 ilustraciones en color.
ISBN : 978-3-030-22750-0
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Ciencias de la Computación Inteligencia artificial IngenierÃa Informática Red de computadoras diseño lógico Visión por computador Informática TeorÃa de la Computación IngenierÃa Informática y Redes Matemáticas de la Computación Clasificación: 40.151 Resumen: El conjunto de cinco volúmenes LNCS 11536, 11537, 11538, 11539 y 11540 constituye las actas de la 19.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2019, celebrada en Faro, Portugal, en junio de 2019. El total de 65 artÃculos completos y 168 artÃculos de talleres presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados de 573 presentaciones (228 presentaciones a la pista principal y 345 presentaciones a los talleres). Los artÃculos se organizaron en secciones temáticas denominadas: Parte I: Pista principal de ICCS Parte II: Pista principal de ICCS; Pista de avances en ciencias de la Tierra computacionales de alto rendimiento: aplicaciones y marcos; Pista de simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Pista de aplicaciones de métodos matriciales en inteligencia artificial y aprendizaje automático; EstrategÃa de Arquitectura, Lenguajes, Compilación y Soporte de Hardware para Sistemas Emergentes y Heterogéneos Parte III: EstrategÃa de DesafÃos Biomédicos y Bioinformáticos para la Ciencia de la Computación; EstrategÃa de Aprendizaje de Clasificadores a Partir de Datos DifÃciles; EstrategÃa de Finanzas Computacionales e Inteligencia de Negocios; EstrategÃa de Optimización Computacional, Modelado y Simulación; EstrategÃa de Ciencia Computacional en IoT y Sistemas Inteligentes Parte IV: EstrategÃa de Ciencias Computacionales Impulsadas por Datos; EstrategÃa de Aprendizaje Automático y Asimilación de Datos para Sistemas Dinámicos; EstrategÃa de Computación Marina en el Mundo Interconectado para el Beneficio de la Sociedad; EstrategÃa de Modelado y Simulación Multiescala; EstrategÃa de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación Parte V: EstrategÃa de Sistemas Inteligentes: Visión por Computador, Redes de Sensores y Aprendizaje Automático; EstrategÃa de Resolución de Problemas con Incertidumbres; EstrategÃa de Enseñanza de la Ciencia Computacional; El capÃtulo "Comparación de métodos de descomposición de dominios para la paralelización de modelos distribuidos de superficies terrestres" del Poster Track ICCS 2019 está disponible en acceso abierto bajo una licencia Creative Commons Atribución 4.0 Internacional a través de link.springer.com. Nota de contenido: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning -- Effective Self Attention Modeling for Aspect Based Sentiment Analysis -- Vision and crowdsensing technology for an optimal response in physical-security -- New Intelligent Tools to Adapt NL-interface to Corporate Environments -- Asymmetric Deep Cross-modal Hashing -- Applying NSGA-II to a Multiple Objective Dial a Ride Problem -- Smart Campus Parking – Parking Made Easy -- The network topology of connecting Things: Defence of IoT graph in the smart city -- SILKNOWViz: Spatio-temporal data ontology viewer -- Ontology-Driven Automation of IoT-Based Human-Machine Interfaces Development -- Towards Parameter-Optimized Vessel Re-identification based on IORnet -- Towards Low-Cost Indoor Localisation Using a Multi-camera System -- A New Shape Descriptor and Segmentation Algorithm for Automated Classifying of Multiple-Morphological Filamentous Algae -- Application of hierarchical clustering for object tracking with aDynamic Vision Sensor -- Binarization of Degraded Document Images with Generalized Gaussian Distribution -- Nonlinear dimensionality reduction in texture classification: is manifold learning better than PCA? -- Event-Oriented Keyphrase Extraction Based on Bi-Clustering Model -- Track of Solving Problems with Uncertainties -- Path-Finding with a Full-Vectorized GPU Implementation of Evolutionary Algorithms in an Online Crowd Model Simulation Framework -- Analysing the trade-off between computational performance and representation richness in ontology-based systems -- A Framework for Distributed Approximation of Moments with Higher-Order Derivatives through Automatic Differentiation -- IPIES for Uncertainly Dened Shape of Boundary, Boundary Conditions and Other Parameters in Elasticity Problems -- Enabling UQ for complex modelling workflows -- Ternary-Decimal Exclusion Algorithm for Multiattribute Utility Functions -- Sums of Key Functions Generating a Cryptosystem -- Consistent Conjectures in Globalization Problems -- Verification on the Ensemble of Independent Numerical Solutions -- On the estimation of the accuracy of numerical solutions in CFD problems -- "Why did you do that?" Explaining black box models with Inductive Synthesis -- Predictive Analytics with Factor Variance Association -- Track of Teaching Computational Science -- Redesigning Interactive Educational Modules for Combinatorial Scientific Computing -- A Learner-Centered Approach to Teaching Computational Modeling, Data Analysis, and Programming -- Enabling Interdisciplinary Instruction in Computer Science and Humanities: An Innovative Teaching and Learning Model Customized for Small Liberal Arts Colleges -- A project-based course on software development for (engineering) research -- Programming paradigms for computational science: three fundamental Models -- Numerical Analysis project in ODEs for undergraduate students -- Poster Track ICCS 2019 -- Mixed Finite Element Solution for the Natural-Gas Dual-Mechanism Model -- On the Feasibility of Distributed Process Mining in Healthcare -- How to Plan Roadworks in Urban Regions? A Principled Approach Based on AI Planning -- Big data approach to fluid dynamics visualization problem -- Dolphin Kick Swimmer using the Unstructured Moving Mesh Method -- The performance prediction and improvement of SPH with the interaction-list-sharing method on PEZY-SCs -- Influence of architectural features of the SNC-4 mode of the Intel Xeon Phi KNL on matrix multiplication -- Improving Planning Performance in PDDL+ Domains via Automated Predicate Reformulation -- The Case of iOS vs. Android: Applying System Dynamics to Digital Business Platforms -- Sockpuppet Detection in Social Network via Propagation Tree -- Exploring the performance of fine-grained synchronization and data exchange across process boundaries on modern multi-core architectures -- Accelerating Wild Fire Simulator using GPU -- Augmented Reality for Real-time Navigation Assistance to Wheelchair Users with Obstacles' Management -- p3Enum: A new Parameterizable and Shared-Memory Parallelized Shortest Vector Problem Solver -- Rendering Non-Euclidean Space in Real-Time Using Spherical and Hyperbolic Trigonometry -- Improving Academic Homepage Identification from the Web using Neural Networks -- Combining Fuzzy Logic and CEP Technology to Improve Air Quality in Cities -- Parallel parametric linear programming solving, and application to polyhedral computations -- Automating the Generation of Comparison Weights for Enhancing the AHP Decision-Making Process -- Parallel algorithm based on Singular Value Decomposition for high performance training of Neural Networks -- In-Situ Visualization with Membrane Layer for Movie-based Visualization -- Genetic Algorithm based EV Scheduling for On-Demand Public Transit System -- Short-term irradiance forecasting on the basis of spatially distributed Measurements -- Multi-GPU Acceleration of the iPIC3D Implicit Particle-in-Cell Code -- Reducing Symbol Search Overheadon Stream-based Data Compression -- Stabilized variational formulation for solving cells response to applied electric field -- Data-driven partial derivative equations discovery with evolutionary Approach -- Predicting Cervical Cancer with Metaheuristic optimizers for training LSTM -- Top k 2-Clubs in a Network: A Genetic Algorithm -- CA-RPT: Context-Aware Road Passage Time Estimation for Urban Trac -- Modelling and Analysis of Complex Patient-Treatment Process using GraphMiner Toolbox -- Combining Algorithmic Rethinking and AVX-512 Intrinsics for Efficient Simulation of Subcellular Calcium Signaling -- Ocean Circulation Hindcast at the Brazilian Equatorial Margin -- A matrix-free eigenvalue solver for the multigroup neutron diffusion Equation -- Path-dependent interest rate option pricing with jumps and stochastic Intensities -- Composite data types in dynamic dataflow languages as copyless memory sharing mechanism -- A coupled food security and refugee movement model for the South Sudan conflict -- A Proposal to Model Ancient Silk Weaving Techniques and Extracting Information from Digital Imagery - Ongoing Results of the SILKNOW Project -- A Comparison of Selected Variable Ordering Methods for NFA Induction -- Traffic3D: A Rich 3D-Traffic Environment to Train Intelligent Agents -- Energy Efficiency Evaluation of Distributed Systems -- Support for high-level quantum Bayesian inference -- Financial Time Series Motif Discovery and Analysis Using VALMOD -- Profiling of Household Residents' Electricity Consumption Behavior using Clustering Analysis -- DNAS-STriDE Framework for Human Behavior Modelling in Dynamic Environments -- OPENCoastS: An open-access app for sharing coastal prediction information for management and recreational use. Tipo de medio : Computadora Summary : The five-volume set LNCS 11536, 11537, 11538, 11539, and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019. The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019 Chapter "Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
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