| 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 III
