18th International Conference, Wuxi, China, June 11–13, 2018, Proceedings, Part I / Shi, Yong ; Fu, Haohuan ; Tian, Yingjie ; Krzhizhanovskaya, Valeria V. ; Lees, Michael Harold ; Dongarra, Jack ; Sloot, Peter M. A.  

Público ISBD Ningún comentario para este registro. Título : 18th International Conference, Wuxi, China, June 11–13, 2018, Proceedings, Part I Tipo de documento: documento electrónico Autores: Shi, Yong, ; Fu, Haohuan, ; Tian, Yingjie, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael Harold, ; Dongarra, Jack, ; Sloot, Peter M. A., Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XXXIV, 730 p. 294 ilustraciones ISBN/ISSN/DL: 978-3-319-93698-7 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Ciencias de la Computación  Ingeniería Informática  Red de computadoras  Inteligencia artificial  Protección de datos  Ciencias sociales  diseño lógico  Teoría de la Computación  Ingeniería Informática y Redes  Seguridad de datos e información  Aplicación informática en ciencias sociales y del comportamiento Índice Dewey: 40.151 Resumen: El conjunto de tres volúmenes LNCS 10860, 10861 + 10862 constituye las actas de la 18.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2018, celebrada en Wuxi, China, en junio de 2018. El total de 155 artículos completos y 66 artículos breves presentados en este conjunto de libros fue cuidadosamente revisado y seleccionado entre 404 presentaciones. Los artículos se organizaron en secciones temáticas denominadas: Parte I: Vía principal de ICCS Parte II: Vía 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; Seguimiento de arquitectura, lenguajes, compilación y soporte de hardware para sistemas ManYcore emergentes; Track de Desafíos Biomédicos y Bioinformáticos para la Informática; Track de Finanzas Computacionales e Inteligencia de Negocios; Pista de Optimización Computacional, Modelado y Simulación; Seguimiento de Datos, Modelado y Computación en IoT y Sistemas Inteligentes; Pista de Ciencias Computacionales Basadas en Datos; Seguimiento de métodos y algoritmos-matemáticos para escala extrema; Pista de Modelado y Simulación Multiescala Parte III: Pista de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Seguimiento de resolución de problemas con incertidumbres; Pista de Enseñanza de Ciencias Computacionales; Papeles para carteles. Nota de contenido: ICCS Main Track -- Optimizing the Efficiency, Vulnerability and Robustness of Road-based Para-transit Networks using Genetic Algorithm -- On the Configuration of Robust Static Parallel Portfolios for Efficient Plan Generation -- SDF-Net: Real-time Rigid Object Tracking Using a Deep Signed Distance Network -- Insider Threat Detection with Deep Neural Network -- Pheromone Model Based Visualization of Malware Distribution Networks -- Detecting Wildlife in Unmanned Aerial Systems Imagery using Convolutional Neural Networks Trained with an Automated Feedback Loop -- Incentive Mechanism for Cooperative Intrusion Detection: an Evolutionary Game Approach -- Hybrid Genetic Algorithm for an On-Demand First Mile Transit System using Electric Vehicles -- Comprehensive Learning Gene Expression Programming for Automatic Implicit Equation Discovery -- Multi-population Genetic Algorithm for Cardinality Constrained Portfolio Selection Problems -- Recognition and Classification of Rotorcraft by Micro-Doppler Signatures using Deep Learning -- Data Allocation based on Evolutionary Data Popularity Clustering -- Hyper-heuristic Online Learning for Self-assembling Swarm Robots -- An Innovative Heuristic for Planning-based Urban Traffic Control. -Automatic Web News Extraction Based on DS Theory Considering Content Topics -- DomainObserver: A Lightweight Solution for Detecting Malicious Domains Based on Dynamic Time Warping -- You Have More Abbreviations than You Know: A Study of AbbrevSquatting Abuse -- Large Scale Retrieval of Social Network Pages by Interests of Their Followers -- Parallel data-driven modeling of information spread in social networks -- Topology of Thematic Communities in Online Social Networks: A Comparative Study -- Topological street-network characterization through feature-vector and cluster analysis -- A distance-based tool-set to track inconsistent urban structures through complex-networks -- A Conceptual Framework for Social Movements Analytics for National Security -- Retweet Prediction using Social-aware Probabilistic Matrix Factorization -- Cascading Failure Based on Load Redistribution of a Smart Grid with Different Coupling Modes -- Measuring social responsiveness for improved handling of extreme situations -- A Computational Model-Based Framework to Plan Clinical Experiments – an Application to Vascular Adaptation Biology -- Accelerating Data Analysis in Simulation Neuroscience with Big Data Technologies -- Spiral wave drift induced by high-frequency forcing. Parallel simulation in the Luo-Rudy anisotropic model of cardiac tissue -- Understanding Malaria induced red blood cell deformation using data-driven Lattice Boltzmann Simulations -- Towards Model-based Policy Elaboration on City Scale using Game Theory: Application to Ambulance Dispatching -- Elucidation of Mechanism for Reducing Porosity in Electric Arc Spraying through CFD -- nSharma: Numerical Simulation Heterogeneity Aware Runtime Manager for OpenFOAM -- High Performance Computational Hydrodynamic Simulations: UPC Parallel Architecture as a Future Alternative -- Classifying Aircraft Approach Type in the National General Aviation Flight Information Database -- On Parametric Excitation for Exploration of Lava Tubes and Caves -- Global Simulation of Planetary Rings on Sunway TaihuLight -- Parallel Performance Analysis of Bacterial Biofilm Simulation Models -- Parallel Solutions to the k-difference Primer Problem -- RT-DBSCAN: Real-time Parallel Clustering of Spatio-Temporal Data using Spark-Streaming -- GPU-based implementation of Ptycho-ADMM for high performance X-ray imaging -- Elastic CPU Cap Mechanism for Timely Dataflow Applications -- Blockchain-based transaction integrity in distributed big data marketplace -- Workload Characterization and Evolutionary Analyses of Tianhe-1A Supercomputer -- The Design of Fast and Energy-Efficient Linear Solvers: On The potential Of Half Precision Arithmetic And Iterative Refinement Techniques -- Design of Parallel BEM Analyses Framework for SIMD Processors -- An experimental assessment of three point-insertion sequences for 3-D incremental Delaunay tessellations -- Learning Knowledge Graph Embeddings via Generalized Hyperplanes -- Fast Higher-Order Functions for Tensor Calculus with Tensors and Subtensors -- The t-modified self-shrinking generator -- Simulating Negotiation-based Cloud Markets -- Structural Learning of Probabilistic Graphical Models of Cumulative Phenomena -- Sparse Surface Speed Evaluation on a Dynamic Three-Dimensional Surface Using an Iterative Partitioning Scheme -- Accurate, Automatic and Compressed Visualization of Radiated Helmholtz Fields from Boundary Element Solutions. En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i 18th International Conference, Wuxi, China, June 11–13, 2018, Proceedings, Part I [documento electrónico] / Shi, Yong, ; Fu, Haohuan, ; Tian, Yingjie, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael Harold, ; Dongarra, Jack, ; Sloot, Peter M. A.,  . -  1 ed.  . - [s.l.] : Springer, 2018 . - XXXIV, 730 p. 294 ilustraciones. ISBN : 978-3-319-93698-7 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Ciencias de la Computación  Ingeniería Informática  Red de computadoras  Inteligencia artificial  Protección de datos  Ciencias sociales  diseño lógico  Teoría de la Computación  Ingeniería Informática y Redes  Seguridad de datos e información  Aplicación informática en ciencias sociales y del comportamiento Índice Dewey: 40.151 Resumen: El conjunto de tres volúmenes LNCS 10860, 10861 + 10862 constituye las actas de la 18.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2018, celebrada en Wuxi, China, en junio de 2018. El total de 155 artículos completos y 66 artículos breves presentados en este conjunto de libros fue cuidadosamente revisado y seleccionado entre 404 presentaciones. Los artículos se organizaron en secciones temáticas denominadas: Parte I: Vía principal de ICCS Parte II: Vía 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; Seguimiento de arquitectura, lenguajes, compilación y soporte de hardware para sistemas ManYcore emergentes; Track de Desafíos Biomédicos y Bioinformáticos para la Informática; Track de Finanzas Computacionales e Inteligencia de Negocios; Pista de Optimización Computacional, Modelado y Simulación; Seguimiento de Datos, Modelado y Computación en IoT y Sistemas Inteligentes; Pista de Ciencias Computacionales Basadas en Datos; Seguimiento de métodos y algoritmos-matemáticos para escala extrema; Pista de Modelado y Simulación Multiescala Parte III: Pista de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Seguimiento de resolución de problemas con incertidumbres; Pista de Enseñanza de Ciencias Computacionales; Papeles para carteles. Nota de contenido: ICCS Main Track -- Optimizing the Efficiency, Vulnerability and Robustness of Road-based Para-transit Networks using Genetic Algorithm -- On the Configuration of Robust Static Parallel Portfolios for Efficient Plan Generation -- SDF-Net: Real-time Rigid Object Tracking Using a Deep Signed Distance Network -- Insider Threat Detection with Deep Neural Network -- Pheromone Model Based Visualization of Malware Distribution Networks -- Detecting Wildlife in Unmanned Aerial Systems Imagery using Convolutional Neural Networks Trained with an Automated Feedback Loop -- Incentive Mechanism for Cooperative Intrusion Detection: an Evolutionary Game Approach -- Hybrid Genetic Algorithm for an On-Demand First Mile Transit System using Electric Vehicles -- Comprehensive Learning Gene Expression Programming for Automatic Implicit Equation Discovery -- Multi-population Genetic Algorithm for Cardinality Constrained Portfolio Selection Problems -- Recognition and Classification of Rotorcraft by Micro-Doppler Signatures using Deep Learning -- Data Allocation based on Evolutionary Data Popularity Clustering -- Hyper-heuristic Online Learning for Self-assembling Swarm Robots -- An Innovative Heuristic for Planning-based Urban Traffic Control. -Automatic Web News Extraction Based on DS Theory Considering Content Topics -- DomainObserver: A Lightweight Solution for Detecting Malicious Domains Based on Dynamic Time Warping -- You Have More Abbreviations than You Know: A Study of AbbrevSquatting Abuse -- Large Scale Retrieval of Social Network Pages by Interests of Their Followers -- Parallel data-driven modeling of information spread in social networks -- Topology of Thematic Communities in Online Social Networks: A Comparative Study -- Topological street-network characterization through feature-vector and cluster analysis -- A distance-based tool-set to track inconsistent urban structures through complex-networks -- A Conceptual Framework for Social Movements Analytics for National Security -- Retweet Prediction using Social-aware Probabilistic Matrix Factorization -- Cascading Failure Based on Load Redistribution of a Smart Grid with Different Coupling Modes -- Measuring social responsiveness for improved handling of extreme situations -- A Computational Model-Based Framework to Plan Clinical Experiments – an Application to Vascular Adaptation Biology -- Accelerating Data Analysis in Simulation Neuroscience with Big Data Technologies -- Spiral wave drift induced by high-frequency forcing. Parallel simulation in the Luo-Rudy anisotropic model of cardiac tissue -- Understanding Malaria induced red blood cell deformation using data-driven Lattice Boltzmann Simulations -- Towards Model-based Policy Elaboration on City Scale using Game Theory: Application to Ambulance Dispatching -- Elucidation of Mechanism for Reducing Porosity in Electric Arc Spraying through CFD -- nSharma: Numerical Simulation Heterogeneity Aware Runtime Manager for OpenFOAM -- High Performance Computational Hydrodynamic Simulations: UPC Parallel Architecture as a Future Alternative -- Classifying Aircraft Approach Type in the National General Aviation Flight Information Database -- On Parametric Excitation for Exploration of Lava Tubes and Caves -- Global Simulation of Planetary Rings on Sunway TaihuLight -- Parallel Performance Analysis of Bacterial Biofilm Simulation Models -- Parallel Solutions to the k-difference Primer Problem -- RT-DBSCAN: Real-time Parallel Clustering of Spatio-Temporal Data using Spark-Streaming -- GPU-based implementation of Ptycho-ADMM for high performance X-ray imaging -- Elastic CPU Cap Mechanism for Timely Dataflow Applications -- Blockchain-based transaction integrity in distributed big data marketplace -- Workload Characterization and Evolutionary Analyses of Tianhe-1A Supercomputer -- The Design of Fast and Energy-Efficient Linear Solvers: On The potential Of Half Precision Arithmetic And Iterative Refinement Techniques -- Design of Parallel BEM Analyses Framework for SIMD Processors -- An experimental assessment of three point-insertion sequences for 3-D incremental Delaunay tessellations -- Learning Knowledge Graph Embeddings via Generalized Hyperplanes -- Fast Higher-Order Functions for Tensor Calculus with Tensors and Subtensors -- The t-modified self-shrinking generator -- Simulating Negotiation-based Cloud Markets -- Structural Learning of Probabilistic Graphical Models of Cumulative Phenomena -- Sparse Surface Speed Evaluation on a Dynamic Three-Dimensional Surface Using an Iterative Partitioning Scheme -- Accurate, Automatic and Compressed Visualization of Radiated Helmholtz Fields from Boundary Element Solutions. En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i

18th International Conference, Wuxi, China, June 11–13, 2018 Proceedings, Part III / Shi, Yong ; Fu, Haohuan ; Tian, Yingjie ; Krzhizhanovskaya, Valeria V. ; Lees, Michael Harold ; Dongarra, Jack ; Sloot, Peter M. A.  

Público ISBD Ningún comentario para este registro. Título : 18th International Conference, Wuxi, China, June 11–13, 2018 Proceedings, Part III Tipo de documento: documento electrónico Autores: Shi, Yong, ; Fu, Haohuan, ; Tian, Yingjie, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael Harold, ; Dongarra, Jack, ; Sloot, Peter M. A., Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XX, 866 p. 331 ilustraciones ISBN/ISSN/DL: 978-3-319-93713-7 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Ciencias de la Computación  Ingeniería Informática  Red de computadoras  Inteligencia artificial  Protección de datos  Ciencias sociales  diseño lógico  Teoría de la Computación  Ingeniería Informática y Redes  Seguridad de datos e información  Aplicación informática en ciencias sociales y del comportamiento Índice Dewey: 40.151 Resumen: El conjunto de tres volúmenes LNCS 10860, 10861 y 10862 constituye las actas de la 18.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2018, celebrada en Wuxi, China, en junio de 2018. El total de 155 artículos completos y 66 artículos cortos presentados en este conjunto de libros se revisaron cuidadosamente y se seleccionaron de 404 presentaciones. Los artículos se organizaron en secciones temáticas denominadas: Parte I: Tema principal de ICCS Parte II: Tema de avances en ciencias de la Tierra computacionales de alto rendimiento: aplicaciones y marcos; Tema de simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Tema de aplicaciones de métodos matriciales en inteligencia artificial y aprendizaje automático; Tema de arquitectura, lenguajes, compilación y soporte de hardware para sistemas ManYcore emergentes; Tema de desafíos biomédicos y bioinformáticos para la ciencia de la computación; Tema de finanzas computacionales e inteligencia empresarial; Tema de optimización computacional, modelado y simulación; Pista de Datos, Modelado y Computación en IoT y Sistemas Inteligentes; Pista de Ciencias Computacionales Basadas en Datos; Pista de Métodos Matemáticos y Algoritmos para Escala Extrema; Pista de Modelado y Simulación Multiescala Parte III: Pista de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Pista de Solución de Problemas con Incertidumbres; Pista de Enseñanza de Ciencias Computacionales; Artículos en Pósteres. Nota de contenido: Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Simulations of Flow and Transport: Modeling, Algorithms and Computation -- ALE Method for a Rotating Structure Immersed in the Fluid and Its Application to the Artificial Heart Pump in Hemodynamics -- Free Surface Flow Simulation of Fish Turning Motion -- Circular Function-Based Gas-kinetic Scheme for Simulation of Viscous Compressible Flows -- A new edge stabilization method for the convection-dominated diffusion-convection equations -- Symmetric Sweeping Algorithms for Intersections of Two Quadrilateral Mesh -- A Two-field Finite Element Solver for Poroelasticity on Quadrilateral Meshes -- Preprocessing parallelization for the ALT-algorithm -- Efficient Linearly and Unconditionally Energy Stable Schemes for the Phase Field Model of Solid-State Dewetting Problems -- A novel energy stable numerical scheme for Navier-Stokes-Cahn-Hilliard two-phase flow model with variable densities and viscosities -- Study on Numerical Methods for Gas Flow Simulation Using Double-Porosity Double-Permeability Model -- Molecular Simulation of Displacement of Methane by Injection Gases in Shale -- A Compact and Efficient Lattice Boltzmann Scheme to Simulate Complex Thermal Fluid Flows -- Study on topology-based identification of sources of vulnerability for natural gas pipeline networks -- LES study on high Reynolds turbulent drag-reducing flow of viscoelastic fluids based on multiple relaxation times constitutive model and mixed subgrid-scale model -- Track of Solving Problems with Uncertainties Statistical and Multivatiate Analysis Applied to a Database of Patients with Type-2 Diabetes -- Novel Monte Carlo Algorithm for Solving Singular Linear Systems -- Reducing Data Uncertainty in Forest Fire Spread Prediction: a Matter of Error Function Assessment -- Analysis of the accuracy of OpenFOAM solvers for the problem of supersonic flow around a cone -- Modification Of Interval Arithmetic For Modelling And Solving UncertainlyDefined Problems By Interval Parametric Integral Equations System -- A Hybrid Heuristic for the Probabilistic Capacitated Vehicle Routing Problem with Two-Dimensional Loading Constraints -- A human-inspired model to represent uncertain knowledge in the Semantic Web -- Bayesian based approach learning for outcome prediction of soccer matches -- Fuzzy and Data-Driven Urban Crowds -- Track of Teaching Computational Science Design and Analysis of an Undergraduate Computational Engineering Degree at Federal University of Juiz de Fora -- Extended Cognition Hypothesis View on Computational Thinking in Computer Science Education -- Interconnected Enterprise Systems - A Call for New Teaching Approaches -- Poster Papers -- Efficient Characterization of Hidden Processor Memory Hierarchies -- Discriminating Postural Control Behaviors from Posturography with Statistical Tests and Machine Learning Models: Does Time Series Length Matter -- Mathematical Modelling of Wormhole-routed x-Folded TM Topology in the Presence of Uniform Traffic -- Adaptive Time-Splitting Scheme for Nanoparticles Transport with Two-phase Flow in Heterogeneous Porous Media -- Identifying Central Individuals in Organised Criminal Groups and Underground Marketplaces -- Guiding the optimization of parallel codes on multicores using an analytical cache model -- LDA-Based Scoring of Sequences Generated by RNN for Automatic Tanka Composition -- Computing Simulation of Interactions between α + β ProteinandJanusNanoparticle -- A modified bandwidth reduction heuristic based on the WBRA and George-Liu algorithm -- Improving Large-scale Fingerprint-based Queries in Distributed Infrastructure -- A Effective Truth Discovery Algorithm with Multi-Source Sparse Data -- Blackboard Meets Dijkstra for Resource Allocation Optimization -- Augmented Self-paced Learning with Generative Adversarial Networks -- Benchmarking Parallel Chess Search in Stockfish on Intel Xeon and Intel Xeon Phi Processors -- Leveraging Uncertainty Analysis of Data to Evaluate User Influence Algorithms of Social Networks -- E-Zone: A faster Neighbor Point Query Algorithm For Matching Spacial Objects -- Application of Algorithmic Differentiation for Exact Jacobians to the Universal Laminar Flame Solver -- Morph Resolution Based on Autoencoders Combined with Effective Context Information -- Old Habits Die Hard: Fingerprinting Websites On The Cloud -- Deep Streaming Graph Representations -- Adversarial Reinforcement Learning for Chinese Text Summarization -- Column Concept Determination for Chinese Web Tables via Convolutional Neural Network -- Service-oriented approach for Internet of Things -- Adversarial Framework for General Image Inpainting -- A Stochastic Model to Simulate the Spread of Leprosy in Juiz de For a -- Data Fault Identification and Repair Method of Traffic Detector -- The valuation of CCIRS with a new design -- Method of Node Importance Measurement in Urban Road Network -- AdaBoost-LSTM Ensemble Learning for Financial Time Series Forecasting -- Analysis ofBluetooth Low Energy Detection Range Improvements for the Healthcare Environment -- Study on an N-parallel FENE-P constitutive model based on multiple relaxation times for viscoelastic fluid -- RADIC based Fault Tolerance System with Dynamic Resource Controller -- Effective Learning with Joint Discriminative and Representative Feature Selection -- Agile tuning method in successive steps for a river flow simulator -- A Parallel Quicksort Algorithm on Manycore Processors in Sunway TaihuLight -- How is the Forged Certificates in the Wild: Practice on Large-scale SSL Usage Measurement and Analysis -- Managing Cloud Data Centers with Three-state Server Model under Job Abandonment Phenomenon -- The Analysis of the Effectiveness of the Perspective-based Observational Tunnels Method by the Example of the Evaluation of Possibilities to Divide the Multidimensional Space of Coal Samples -- Urban data and spatial segregation: analysis of food services clusters in St. Petersburg, Russia -- Control driven lighting design for large-scale installations -- An OpenMP implementation of the TVD-Hopmoc method based on a synchronization mechanism using locks between adjacent threads on Xeon Phi accelerators -- Data-Aware Scheduling of Scientific Workflows in Hybrid Clouds -- Large margin proximal non-parallel support vector classifiers -- The multi-core optimization of the unbalanced calculation in the clean numerical simulation of Rayleigh-Benard turbulence -- ES-GP: An Effective Evolutionary Regression Framework with Gaussian Process and Adaptive Segmentation Strategy -- Evaluating Dynamic Scheduling of Tasks in Mobile Architectures using ParallelME Framework -- An OAuth2.0-Based Unified Authentication System for Secure Services in the Smart Campus Environment -- Time Series Cluster analysis on electricity consumption of North Hebei Province in China -- Effective Semi-supervised Learning Based on Local Correlation -- Detection and Prediction of House Price Bubbles: Evidence from a New City -- A NovelParsing-based Automatic Domain Terminology Extraction Method -- Remote Procedure Calls for Improved Data Locality with the Epiphany Architecture -- Identifying the propagation sources of stealth worms -- Machine Learning Based Text Mining in Electronic Health Records: Cardiovascular Patient Cases -- Evolutionary ensemble approach for behavioral credit scoring -- Detecting influential users in customer-oriented online communities -- GeoSkelSL: A Python High-Level DSL for Parallel Computing in Geosciences -- Precedent-based approach for the identification of deviant behavior in social media -- Performance Analysis of 2D-compatible 2.5D-PDGEMM on Knights Landing Cluster. En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i 18th International Conference, Wuxi, China, June 11–13, 2018 Proceedings, Part III [documento electrónico] / Shi, Yong, ; Fu, Haohuan, ; Tian, Yingjie, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael Harold, ; Dongarra, Jack, ; Sloot, Peter M. A.,  . -  1 ed.  . - [s.l.] : Springer, 2018 . - XX, 866 p. 331 ilustraciones. ISBN : 978-3-319-93713-7 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Ciencias de la Computación  Ingeniería Informática  Red de computadoras  Inteligencia artificial  Protección de datos  Ciencias sociales  diseño lógico  Teoría de la Computación  Ingeniería Informática y Redes  Seguridad de datos e información  Aplicación informática en ciencias sociales y del comportamiento Índice Dewey: 40.151 Resumen: El conjunto de tres volúmenes LNCS 10860, 10861 y 10862 constituye las actas de la 18.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2018, celebrada en Wuxi, China, en junio de 2018. El total de 155 artículos completos y 66 artículos cortos presentados en este conjunto de libros se revisaron cuidadosamente y se seleccionaron de 404 presentaciones. Los artículos se organizaron en secciones temáticas denominadas: Parte I: Tema principal de ICCS Parte II: Tema de avances en ciencias de la Tierra computacionales de alto rendimiento: aplicaciones y marcos; Tema de simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Tema de aplicaciones de métodos matriciales en inteligencia artificial y aprendizaje automático; Tema de arquitectura, lenguajes, compilación y soporte de hardware para sistemas ManYcore emergentes; Tema de desafíos biomédicos y bioinformáticos para la ciencia de la computación; Tema de finanzas computacionales e inteligencia empresarial; Tema de optimización computacional, modelado y simulación; Pista de Datos, Modelado y Computación en IoT y Sistemas Inteligentes; Pista de Ciencias Computacionales Basadas en Datos; Pista de Métodos Matemáticos y Algoritmos para Escala Extrema; Pista de Modelado y Simulación Multiescala Parte III: Pista de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Pista de Solución de Problemas con Incertidumbres; Pista de Enseñanza de Ciencias Computacionales; Artículos en Pósteres. Nota de contenido: Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Simulations of Flow and Transport: Modeling, Algorithms and Computation -- ALE Method for a Rotating Structure Immersed in the Fluid and Its Application to the Artificial Heart Pump in Hemodynamics -- Free Surface Flow Simulation of Fish Turning Motion -- Circular Function-Based Gas-kinetic Scheme for Simulation of Viscous Compressible Flows -- A new edge stabilization method for the convection-dominated diffusion-convection equations -- Symmetric Sweeping Algorithms for Intersections of Two Quadrilateral Mesh -- A Two-field Finite Element Solver for Poroelasticity on Quadrilateral Meshes -- Preprocessing parallelization for the ALT-algorithm -- Efficient Linearly and Unconditionally Energy Stable Schemes for the Phase Field Model of Solid-State Dewetting Problems -- A novel energy stable numerical scheme for Navier-Stokes-Cahn-Hilliard two-phase flow model with variable densities and viscosities -- Study on Numerical Methods for Gas Flow Simulation Using Double-Porosity Double-Permeability Model -- Molecular Simulation of Displacement of Methane by Injection Gases in Shale -- A Compact and Efficient Lattice Boltzmann Scheme to Simulate Complex Thermal Fluid Flows -- Study on topology-based identification of sources of vulnerability for natural gas pipeline networks -- LES study on high Reynolds turbulent drag-reducing flow of viscoelastic fluids based on multiple relaxation times constitutive model and mixed subgrid-scale model -- Track of Solving Problems with Uncertainties Statistical and Multivatiate Analysis Applied to a Database of Patients with Type-2 Diabetes -- Novel Monte Carlo Algorithm for Solving Singular Linear Systems -- Reducing Data Uncertainty in Forest Fire Spread Prediction: a Matter of Error Function Assessment -- Analysis of the accuracy of OpenFOAM solvers for the problem of supersonic flow around a cone -- Modification Of Interval Arithmetic For Modelling And Solving UncertainlyDefined Problems By Interval Parametric Integral Equations System -- A Hybrid Heuristic for the Probabilistic Capacitated Vehicle Routing Problem with Two-Dimensional Loading Constraints -- A human-inspired model to represent uncertain knowledge in the Semantic Web -- Bayesian based approach learning for outcome prediction of soccer matches -- Fuzzy and Data-Driven Urban Crowds -- Track of Teaching Computational Science Design and Analysis of an Undergraduate Computational Engineering Degree at Federal University of Juiz de Fora -- Extended Cognition Hypothesis View on Computational Thinking in Computer Science Education -- Interconnected Enterprise Systems - A Call for New Teaching Approaches -- Poster Papers -- Efficient Characterization of Hidden Processor Memory Hierarchies -- Discriminating Postural Control Behaviors from Posturography with Statistical Tests and Machine Learning Models: Does Time Series Length Matter -- Mathematical Modelling of Wormhole-routed x-Folded TM Topology in the Presence of Uniform Traffic -- Adaptive Time-Splitting Scheme for Nanoparticles Transport with Two-phase Flow in Heterogeneous Porous Media -- Identifying Central Individuals in Organised Criminal Groups and Underground Marketplaces -- Guiding the optimization of parallel codes on multicores using an analytical cache model -- LDA-Based Scoring of Sequences Generated by RNN for Automatic Tanka Composition -- Computing Simulation of Interactions between α + β ProteinandJanusNanoparticle -- A modified bandwidth reduction heuristic based on the WBRA and George-Liu algorithm -- Improving Large-scale Fingerprint-based Queries in Distributed Infrastructure -- A Effective Truth Discovery Algorithm with Multi-Source Sparse Data -- Blackboard Meets Dijkstra for Resource Allocation Optimization -- Augmented Self-paced Learning with Generative Adversarial Networks -- Benchmarking Parallel Chess Search in Stockfish on Intel Xeon and Intel Xeon Phi Processors -- Leveraging Uncertainty Analysis of Data to Evaluate User Influence Algorithms of Social Networks -- E-Zone: A faster Neighbor Point Query Algorithm For Matching Spacial Objects -- Application of Algorithmic Differentiation for Exact Jacobians to the Universal Laminar Flame Solver -- Morph Resolution Based on Autoencoders Combined with Effective Context Information -- Old Habits Die Hard: Fingerprinting Websites On The Cloud -- Deep Streaming Graph Representations -- Adversarial Reinforcement Learning for Chinese Text Summarization -- Column Concept Determination for Chinese Web Tables via Convolutional Neural Network -- Service-oriented approach for Internet of Things -- Adversarial Framework for General Image Inpainting -- A Stochastic Model to Simulate the Spread of Leprosy in Juiz de For a -- Data Fault Identification and Repair Method of Traffic Detector -- The valuation of CCIRS with a new design -- Method of Node Importance Measurement in Urban Road Network -- AdaBoost-LSTM Ensemble Learning for Financial Time Series Forecasting -- Analysis ofBluetooth Low Energy Detection Range Improvements for the Healthcare Environment -- Study on an N-parallel FENE-P constitutive model based on multiple relaxation times for viscoelastic fluid -- RADIC based Fault Tolerance System with Dynamic Resource Controller -- Effective Learning with Joint Discriminative and Representative Feature Selection -- Agile tuning method in successive steps for a river flow simulator -- A Parallel Quicksort Algorithm on Manycore Processors in Sunway TaihuLight -- How is the Forged Certificates in the Wild: Practice on Large-scale SSL Usage Measurement and Analysis -- Managing Cloud Data Centers with Three-state Server Model under Job Abandonment Phenomenon -- The Analysis of the Effectiveness of the Perspective-based Observational Tunnels Method by the Example of the Evaluation of Possibilities to Divide the Multidimensional Space of Coal Samples -- Urban data and spatial segregation: analysis of food services clusters in St. Petersburg, Russia -- Control driven lighting design for large-scale installations -- An OpenMP implementation of the TVD-Hopmoc method based on a synchronization mechanism using locks between adjacent threads on Xeon Phi accelerators -- Data-Aware Scheduling of Scientific Workflows in Hybrid Clouds -- Large margin proximal non-parallel support vector classifiers -- The multi-core optimization of the unbalanced calculation in the clean numerical simulation of Rayleigh-Benard turbulence -- ES-GP: An Effective Evolutionary Regression Framework with Gaussian Process and Adaptive Segmentation Strategy -- Evaluating Dynamic Scheduling of Tasks in Mobile Architectures using ParallelME Framework -- An OAuth2.0-Based Unified Authentication System for Secure Services in the Smart Campus Environment -- Time Series Cluster analysis on electricity consumption of North Hebei Province in China -- Effective Semi-supervised Learning Based on Local Correlation -- Detection and Prediction of House Price Bubbles: Evidence from a New City -- A NovelParsing-based Automatic Domain Terminology Extraction Method -- Remote Procedure Calls for Improved Data Locality with the Epiphany Architecture -- Identifying the propagation sources of stealth worms -- Machine Learning Based Text Mining in Electronic Health Records: Cardiovascular Patient Cases -- Evolutionary ensemble approach for behavioral credit scoring -- Detecting influential users in customer-oriented online communities -- GeoSkelSL: A Python High-Level DSL for Parallel Computing in Geosciences -- Precedent-based approach for the identification of deviant behavior in social media -- Performance Analysis of 2D-compatible 2.5D-PDGEMM on Knights Landing Cluster. En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i

19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part I / 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  

Público ISBD Ningún comentario para este registro. Título : 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. Palabras clave: Ciencias de la Computación  Inteligencia artificial  Ingeniería Informática  Red de computadoras  diseño lógico  Visión por computador  Informática  Teoría de la Computación  Ingeniería Informática y Redes  Matemáticas de la Computación Índice Dewey: 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 artículos completos y 168 artículos 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 artículos 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; Estrategía de Arquitectura, Lenguajes, Compilación y Soporte de Hardware para Sistemas Emergentes y Heterogéneos Parte III: Estrategía de Desafíos Biomédicos y Bioinformáticos para la Ciencia de la Computación; Estrategía de Aprendizaje de Clasificadores a Partir de Datos Difíciles; Estrategía de Finanzas Computacionales e Inteligencia de Negocios; Estrategía de Optimización Computacional, Modelado y Simulación; Estrategía de Ciencia Computacional en IoT y Sistemas Inteligentes Parte IV: Estrategía de Ciencias Computacionales Impulsadas por Datos; Estrategía de Aprendizaje Automático y Asimilación de Datos para Sistemas Dinámicos; Estrategía de Computación Marina en el Mundo Interconectado para el Beneficio de la Sociedad; Estrategía de Modelado y Simulación Multiescala; Estrategía de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación Parte V: Estrategía de Sistemas Inteligentes: Visión por Computador, Redes de Sensores y Aprendizaje Automático; Estrategía de Resolución de Problemas con Incertidumbres; Estrategía de Enseñanza de la Ciencia Computacional; El capítulo "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. En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i 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. Palabras clave: Ciencias de la Computación  Inteligencia artificial  Ingeniería Informática  Red de computadoras  diseño lógico  Visión por computador  Informática  Teoría de la Computación  Ingeniería Informática y Redes  Matemáticas de la Computación Índice Dewey: 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 artículos completos y 168 artículos 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 artículos 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; Estrategía de Arquitectura, Lenguajes, Compilación y Soporte de Hardware para Sistemas Emergentes y Heterogéneos Parte III: Estrategía de Desafíos Biomédicos y Bioinformáticos para la Ciencia de la Computación; Estrategía de Aprendizaje de Clasificadores a Partir de Datos Difíciles; Estrategía de Finanzas Computacionales e Inteligencia de Negocios; Estrategía de Optimización Computacional, Modelado y Simulación; Estrategía de Ciencia Computacional en IoT y Sistemas Inteligentes Parte IV: Estrategía de Ciencias Computacionales Impulsadas por Datos; Estrategía de Aprendizaje Automático y Asimilación de Datos para Sistemas Dinámicos; Estrategía de Computación Marina en el Mundo Interconectado para el Beneficio de la Sociedad; Estrategía de Modelado y Simulación Multiescala; Estrategía de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación Parte V: Estrategía de Sistemas Inteligentes: Visión por Computador, Redes de Sensores y Aprendizaje Automático; Estrategía de Resolución de Problemas con Incertidumbres; Estrategía de Enseñanza de la Ciencia Computacional; El capítulo "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. En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i

19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part II / 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  

Público ISBD Ningún comentario para este registro. Título : 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. Palabras clave: Ciencias de la Computación  Inteligencia artificial  Ingeniería Informática  Red de computadoras  diseño lógico  Visión por computador  Informática  Teoría de la Computación  Ingeniería Informática y Redes  Matemáticas de la Computación Índice Dewey: 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 artículos completos y 168 artículos de taller presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados entre 573 presentaciones (228 presentaciones para la vía principal y 345 presentaciones para los talleres). Los artículos se organizaron en secciones temáticas denominadas: Parte I: Vía principal de ICCS Parte II: Vía 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 Desafíos Biomédicos y Bioinformáticos para la Informática; Seguimiento del aprendizaje del clasificador a partir de datos difíciles; 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 capítulo 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. En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i 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. Palabras clave: Ciencias de la Computación  Inteligencia artificial  Ingeniería Informática  Red de computadoras  diseño lógico  Visión por computador  Informática  Teoría de la Computación  Ingeniería Informática y Redes  Matemáticas de la Computación Índice Dewey: 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 artículos completos y 168 artículos de taller presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados entre 573 presentaciones (228 presentaciones para la vía principal y 345 presentaciones para los talleres). Los artículos se organizaron en secciones temáticas denominadas: Parte I: Vía principal de ICCS Parte II: Vía 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 Desafíos Biomédicos y Bioinformáticos para la Informática; Seguimiento del aprendizaje del clasificador a partir de datos difíciles; 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 capítulo 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. En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i

19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part III / 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  

Público ISBD Ningún comentario para este registro. Título : 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. Palabras clave: Ciencias de la Computación  Inteligencia artificial  Ingeniería Informática  Red de computadoras  diseño lógico  Visión por computador  Informática  Teoría de la Computación  Ingeniería Informática y Redes  Matemáticas de la Computación Índice Dewey: 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 artículos completos y 168 artículos de taller presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados entre 573 presentaciones (228 presentaciones para la vía principal y 345 presentaciones para los talleres). Los artículos se organizaron en secciones temáticas denominadas: Parte I: Vía principal de ICCS Parte II: Vía 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 Desafíos Biomédicos y Bioinformáticos para la Informática; Seguimiento del aprendizaje del clasificador a partir de datos difíciles; 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 capítulo 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. En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i 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. Palabras clave: Ciencias de la Computación  Inteligencia artificial  Ingeniería Informática  Red de computadoras  diseño lógico  Visión por computador  Informática  Teoría de la Computación  Ingeniería Informática y Redes  Matemáticas de la Computación Índice Dewey: 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 artículos completos y 168 artículos de taller presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados entre 573 presentaciones (228 presentaciones para la vía principal y 345 presentaciones para los talleres). Los artículos se organizaron en secciones temáticas denominadas: Parte I: Vía principal de ICCS Parte II: Vía 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 Desafíos Biomédicos y Bioinformáticos para la Informática; Seguimiento del aprendizaje del clasificador a partir de datos difíciles; 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 capítulo 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. En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i

19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part IV / 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  

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19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part V / 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  

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20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part I / Krzhizhanovskaya, Valeria V. ; Závodszky, Gábor ; Lees, Michael H. ; Dongarra, Jack J. ; Sloot, Peter M. A. ; Brissos, Sérgio ; Teixeira, João  

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20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part II / Krzhizhanovskaya, Valeria V. ; Závodszky, Gábor ; Lees, Michael H. ; Dongarra, Jack J. ; Sloot, Peter M. A. ; Brissos, Sérgio ; Teixeira, João  

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20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part III / Krzhizhanovskaya, Valeria V. ; Závodszky, Gábor ; Lees, Michael H. ; Dongarra, Jack J. ; Sloot, Peter M. A. ; Brissos, Sérgio ; Teixeira, João  

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20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part IV / Krzhizhanovskaya, Valeria V. ; Závodszky, Gábor ; Lees, Michael H. ; Dongarra, Jack J. ; Sloot, Peter M. A. ; Brissos, Sérgio ; Teixeira, João  

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20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part V / Krzhizhanovskaya, Valeria V. ; Závodszky, Gábor ; Lees, Michael H. ; Dongarra, Jack J. ; Sloot, Peter M. A. ; Brissos, Sérgio ; Teixeira, João  

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20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part VI / Krzhizhanovskaya, Valeria V. ; Závodszky, Gábor ; Lees, Michael H. ; Dongarra, Jack J. ; Sloot, Peter M. A. ; Brissos, Sérgio ; Teixeira, João  

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20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part VII / Krzhizhanovskaya, Valeria V. ; Závodszky, Gábor ; Lees, Michael H. ; Dongarra, Jack J. ; Sloot, Peter M. A. ; Brissos, Sérgio ; Teixeira, João  

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21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part I / Paszynski, Maciej ; Kranzlmüller, Dieter ; Krzhizhanovskaya, Valeria V. ; Dongarra, Jack J. ; Sloot, Peter M. A.  

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