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

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  

Público ISBD Ningún comentario para este registro. Título : 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part I Tipo de documento: documento electrónico Autores: Krzhizhanovskaya, Valeria V., ; Závodszky, Gábor, ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M. A., ; Brissos, Sérgio, ; Teixeira, João, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XIX, 707 p. 469 ilustraciones, 278 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-50371-0 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  Ingeniería Informática  Red de computadoras  Informática  Inteligencia artificial  diseño lógico  Teoría de la Computación  Ingeniería Informática y Redes  Matemáticas de la Computación Índice Dewey: 40.151 Resumen: El conjunto de siete volúmenes LNCS 12137, 12138, 12139, 12140, 12141, 12142 y 12143 constituye las actas de la 20.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2020, celebrada en Ámsterdam, Países Bajos, en junio de 2020.* El total de 101 artículos y 248 artículos de talleres presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados entre 719 presentaciones (230 presentaciones para la vía principal y 489 presentaciones para los talleres). Los artículos se organizaron en secciones temáticas denominadas: Parte I: Vía principal de ICCS Parte II: Vía principal de ICCS Parte III: Avances en ciencias computacionales de la Tierra de alto rendimiento: aplicaciones y marcos; Simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Aplicaciones de Métodos Computacionales en Inteligencia Artificial y Aprendizaje Automático; Desafíos biomédicos y bioinformáticos para la informática Parte IV: Aprendizaje del clasificador a partir de datos difíciles; Sistemas sociales complejos a través de la lente de la ciencia computacional; Salud Computacional; Métodos computacionales para problemas emergentes en el análisis de (des) información Parte V: Optimización, modelado y simulación computacional; Ciencias Computacionales en IoT y Sistemas Inteligentes; Gráficos por computadora, procesamiento de imágenes e inteligencia artificial Parte VI: Ciencias computacionales basadas en datos; Aprendizaje Automático y Asimilación de Datos para Sistemas Dinámicos; Métodos sin malla en ciencias computacionales; Modelado y Simulación Multiescala; Taller de Computación Cuántica Parte VII: Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Sistemas inteligentes: unión de visión por computadora, redes de sensores y aprendizaje automático; Ingeniería de Software para Ciencias Computacionales; Resolver Problemas con Incertidumbres; Enseñanza de Ciencias Computacionales; CUANTIFICACIÓN DE LA INCERTIDUMBRE PARA MODELOS COMPUTACIONALES *La conferencia fue cancelada debido a la pandemia de COVID-19. Nota de contenido: ICCS Main Track -- An efficient new static scheduling heuristic for accelerated architectures -- Multilevel Parallel Computations for Solving Multistage Multicriteria Optimization Problems -- Enabling Hardware Affinity in JVM-based Applications: A Case Study for Big Data -- An optimizing multi-platform source-to-source compiler framework for the NEURON MODeling Language -- Parallel numerical solution of a 2D Chemotaxis-Stokes system on GPUs technology -- Automatic management of cloud applications with use of Proximal Policy Optimization -- Utilizing GPU Performance Counters to Characterize GPU Kernels via Machine Learning -- A massively parallel algorithm for the three-dimensional Navier-Stokes-Boussinesq simulations of the atmospheric phenomena -- Reconstruction of Low Energy Neutrino Events with GPUs at IceCube -- Cache-Aware Matrix Polynomials -- QEScalor: Quantitative Elastic Scaling Framework in Distributed Streaming Processing -- From Conditional Independence to Parallel Execution inHierarchical Models -- Improving performance of the Hypre iterative solver for Uintah combustion codes on manycore architectures using MPI Endpoints and Kernel Consolidation -- Analysis of Checkpoint I/O behavior -- Enabling EASEY deployment of containerized applications for future HPC systems -- Reproducibility of computational experiments on Kubernetes-managed container clouds with HyperFlow -- GPU-accelerated RDP Algorithm for Data Segmentation -- Sparse Matrix-Based HPC Tomography -- heFFTe: Highly Efficient FFT for Exascale -- Scalable Workflow-Driven Hydrologic Analysis in HydroFrame -- Patient-specific cardiac parametrization from Eikonal simulations -- An Empirical Analysis of Predictors for Workload Estimation in Healthcare -- How You Say Or What You Say? Neural Activity in Message Credibility Evaluation -- Look Who's Talking: Modeling Decision Making Based on Source Credibility -- An Adaptive Network Model for Burnout and Dreaming -- Computational Analysis of the Adaptive Causal Relationships between Cannabis, Anxiety and Sleep -- Detecting Critical Transitions in the Human Innate Immune System Post-Cardiac Surgery -- Using individual-based models to look beyond the horizon: the changing effects of household-based clustering of susceptibility to measles in the next 20 years -- Modelling the effects of antibiotics on gut flora using a nonlinear compartment model with uncertain parameters -- Stochastic volatility and early warning indicator -- Boost and Burst: Bubbles in the Bitcoin Market -- Estimation of tipping points for critical and transitional regimes in the evolution of complex interbank network -- Modeling of Fire Spread including Different Heat Transfer Mechanisms using Cellular Automata -- Narrow passage problem solution for motion planning -- Fault Injection, Detection and Treatment in Simulated Autonomous Vehicles -- Using Cellular Automata to Model High Density Pedestrian Dynamics -- Autonomous Vehicles as Local Traffic Optimizers -- Modeling Helping Behavior in EmergencyEvacuations using Volunteer's Dilemma Game -- Learning Mixed Traffic Signatures in Shared Networks -- A Novel Metric to Evaluate In Situ Workflows -- Social Recommendation in Dynamic Evolving Relation Network -- DDNE: Discriminative Distance Metric Learning for Network Embedding -- Extracting Backbone Structure of a Road Network from Raw Data -- Look Deep into the New Deep Network: A Measurement Study on the ZeroNet -- Identifying influential spreaders on a weighted network using HookeRank method -- Community aware models of meme spreading in micro-blog social networks -- Dynamic Vote-Rank Based Approach for Effective Sequential Initialization of Information Spreading Processes within Complex Networks -- On the Planarity of Validated Complexes of Model Organisms in Protein-Protein Interaction Networks -- Towards Modeling of Information Processing within Business-Processes of Service-Providing Organizations -- A Probabilistic Infection Model for Efficient Trace-Prediction of Disease Outbreaks in Contact Networks -- Eigen-AD: Algorithmic Differentiation of the Eigen Library. 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 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part I [documento electrónico] / Krzhizhanovskaya, Valeria V., ; Závodszky, Gábor, ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M. A., ; Brissos, Sérgio, ; Teixeira, João,  . -  1 ed.  . - [s.l.] : Springer, 2020 . - XIX, 707 p. 469 ilustraciones, 278 ilustraciones en color. ISBN : 978-3-030-50371-0 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  Ingeniería Informática  Red de computadoras  Informática  Inteligencia artificial  diseño lógico  Teoría de la Computación  Ingeniería Informática y Redes  Matemáticas de la Computación Índice Dewey: 40.151 Resumen: El conjunto de siete volúmenes LNCS 12137, 12138, 12139, 12140, 12141, 12142 y 12143 constituye las actas de la 20.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2020, celebrada en Ámsterdam, Países Bajos, en junio de 2020.* El total de 101 artículos y 248 artículos de talleres presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados entre 719 presentaciones (230 presentaciones para la vía principal y 489 presentaciones para los talleres). Los artículos se organizaron en secciones temáticas denominadas: Parte I: Vía principal de ICCS Parte II: Vía principal de ICCS Parte III: Avances en ciencias computacionales de la Tierra de alto rendimiento: aplicaciones y marcos; Simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Aplicaciones de Métodos Computacionales en Inteligencia Artificial y Aprendizaje Automático; Desafíos biomédicos y bioinformáticos para la informática Parte IV: Aprendizaje del clasificador a partir de datos difíciles; Sistemas sociales complejos a través de la lente de la ciencia computacional; Salud Computacional; Métodos computacionales para problemas emergentes en el análisis de (des) información Parte V: Optimización, modelado y simulación computacional; Ciencias Computacionales en IoT y Sistemas Inteligentes; Gráficos por computadora, procesamiento de imágenes e inteligencia artificial Parte VI: Ciencias computacionales basadas en datos; Aprendizaje Automático y Asimilación de Datos para Sistemas Dinámicos; Métodos sin malla en ciencias computacionales; Modelado y Simulación Multiescala; Taller de Computación Cuántica Parte VII: Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Sistemas inteligentes: unión de visión por computadora, redes de sensores y aprendizaje automático; Ingeniería de Software para Ciencias Computacionales; Resolver Problemas con Incertidumbres; Enseñanza de Ciencias Computacionales; CUANTIFICACIÓN DE LA INCERTIDUMBRE PARA MODELOS COMPUTACIONALES *La conferencia fue cancelada debido a la pandemia de COVID-19. Nota de contenido: ICCS Main Track -- An efficient new static scheduling heuristic for accelerated architectures -- Multilevel Parallel Computations for Solving Multistage Multicriteria Optimization Problems -- Enabling Hardware Affinity in JVM-based Applications: A Case Study for Big Data -- An optimizing multi-platform source-to-source compiler framework for the NEURON MODeling Language -- Parallel numerical solution of a 2D Chemotaxis-Stokes system on GPUs technology -- Automatic management of cloud applications with use of Proximal Policy Optimization -- Utilizing GPU Performance Counters to Characterize GPU Kernels via Machine Learning -- A massively parallel algorithm for the three-dimensional Navier-Stokes-Boussinesq simulations of the atmospheric phenomena -- Reconstruction of Low Energy Neutrino Events with GPUs at IceCube -- Cache-Aware Matrix Polynomials -- QEScalor: Quantitative Elastic Scaling Framework in Distributed Streaming Processing -- From Conditional Independence to Parallel Execution inHierarchical Models -- Improving performance of the Hypre iterative solver for Uintah combustion codes on manycore architectures using MPI Endpoints and Kernel Consolidation -- Analysis of Checkpoint I/O behavior -- Enabling EASEY deployment of containerized applications for future HPC systems -- Reproducibility of computational experiments on Kubernetes-managed container clouds with HyperFlow -- GPU-accelerated RDP Algorithm for Data Segmentation -- Sparse Matrix-Based HPC Tomography -- heFFTe: Highly Efficient FFT for Exascale -- Scalable Workflow-Driven Hydrologic Analysis in HydroFrame -- Patient-specific cardiac parametrization from Eikonal simulations -- An Empirical Analysis of Predictors for Workload Estimation in Healthcare -- How You Say Or What You Say? Neural Activity in Message Credibility Evaluation -- Look Who's Talking: Modeling Decision Making Based on Source Credibility -- An Adaptive Network Model for Burnout and Dreaming -- Computational Analysis of the Adaptive Causal Relationships between Cannabis, Anxiety and Sleep -- Detecting Critical Transitions in the Human Innate Immune System Post-Cardiac Surgery -- Using individual-based models to look beyond the horizon: the changing effects of household-based clustering of susceptibility to measles in the next 20 years -- Modelling the effects of antibiotics on gut flora using a nonlinear compartment model with uncertain parameters -- Stochastic volatility and early warning indicator -- Boost and Burst: Bubbles in the Bitcoin Market -- Estimation of tipping points for critical and transitional regimes in the evolution of complex interbank network -- Modeling of Fire Spread including Different Heat Transfer Mechanisms using Cellular Automata -- Narrow passage problem solution for motion planning -- Fault Injection, Detection and Treatment in Simulated Autonomous Vehicles -- Using Cellular Automata to Model High Density Pedestrian Dynamics -- Autonomous Vehicles as Local Traffic Optimizers -- Modeling Helping Behavior in EmergencyEvacuations using Volunteer's Dilemma Game -- Learning Mixed Traffic Signatures in Shared Networks -- A Novel Metric to Evaluate In Situ Workflows -- Social Recommendation in Dynamic Evolving Relation Network -- DDNE: Discriminative Distance Metric Learning for Network Embedding -- Extracting Backbone Structure of a Road Network from Raw Data -- Look Deep into the New Deep Network: A Measurement Study on the ZeroNet -- Identifying influential spreaders on a weighted network using HookeRank method -- Community aware models of meme spreading in micro-blog social networks -- Dynamic Vote-Rank Based Approach for Effective Sequential Initialization of Information Spreading Processes within Complex Networks -- On the Planarity of Validated Complexes of Model Organisms in Protein-Protein Interaction Networks -- Towards Modeling of Information Processing within Business-Processes of Service-Providing Organizations -- A Probabilistic Infection Model for Efficient Trace-Prediction of Disease Outbreaks in Contact Networks -- Eigen-AD: Algorithmic Differentiation of the Eigen Library. 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

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  

Público ISBD Ningún comentario para este registro. Título : 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part II Tipo de documento: documento electrónico Autores: Krzhizhanovskaya, Valeria V., ; Závodszky, Gábor, ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M. A., ; Brissos, Sérgio, ; Teixeira, João, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XIX, 697 p. 382 ilustraciones, 216 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-50417-5 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  Informática  Gestión de base de datos  Teoría de la Computación  Ingeniería Informática y Redes  Matemáticas de la Computación  Sistema de administración de base de datos Índice Dewey: 40.151 Resumen: El conjunto de siete volúmenes LNCS 12137, 12138, 12139, 12140, 12141, 12142 y 12143 constituye las actas de la 20.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2020, celebrada en Ámsterdam, Países Bajos, en junio de 2020.* El total de 101 artículos y 248 artículos de talleres presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados entre 719 presentaciones (230 presentaciones para la vía principal y 489 presentaciones para los talleres). Los artículos se organizaron en secciones temáticas denominadas: Parte I: Vía principal de ICCS Parte II: Vía principal de ICCS Parte III: Avances en ciencias computacionales de la Tierra de alto rendimiento: aplicaciones y marcos; Simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Aplicaciones de Métodos Computacionales en Inteligencia Artificial y Aprendizaje Automático; Desafíos biomédicos y bioinformáticos para la informática Parte IV: Aprendizaje del clasificador a partir de datos difíciles; Sistemas sociales complejos a través de la lente de la ciencia computacional; Salud Computacional; Métodos computacionales para problemas emergentes en el análisis de (des) información Parte V: Optimización, modelado y simulación computacional; Ciencias Computacionales en IoT y Sistemas Inteligentes; Gráficos por computadora, procesamiento de imágenes e inteligencia artificial Parte VI: Ciencias computacionales basadas en datos; Aprendizaje Automático y Asimilación de Datos para Sistemas Dinámicos; Métodos sin malla en ciencias computacionales; Modelado y Simulación Multiescala; Taller de Computación Cuántica Parte VII: Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Sistemas inteligentes: unión de visión por computadora, redes de sensores y aprendizaje automático; Ingeniería de Software para Ciencias Computacionales; Resolver Problemas con Incertidumbres; Enseñanza de Ciencias Computacionales; CUANTIFICACIÓN DE LA INCERTIDUMBRE PARA MODELOS COMPUTACIONALES *La conferencia fue cancelada debido a la pandemia de COVID-19. Nota de contenido: ICCS Main Track -- Modified binary tree in the fast PIES for 2D problems with complex shapes -- Generating Random Floating-Point Numbers by Dividing Integers: a Case Study -- An effective stable numerical method for integrating highly oscillating functions with a linear phase -- Fitting Penalized Logistic Regression Models using QR Factorization -- Uncertainty Quantification in Fractional Stochastic Integro-Differential Equations using Legendre Wavelet Collocation Method -- A Direct High-order Curvilinear Triangular Mesh Generation Method Using an Advancing Front Technique -- Data-driven partial differential equations discovery approach for the noised multi-dimensional data -- Preconditioning Jacobian Systems by Superimposing Diagonal Blocks -- NURBS curves in parametric integral equations system for modeling and solving boundary value problems in elasticity -- Parameterizations and Lagrange Cubics for Fitting Multidimensional Data -- Loop Aggregation for Approximate Scientific Computing.-Numerical Computation for a Flow Caused by a High-speed Traveling Train and a Stationary Overpass -- Bezier surfaces for modeling inclusions in PIES -- Impact of water on methane adsorption in nanopores: A hybrid GCMC-MD simulation study -- A stable discontinuous Galerkin based isogeometric residual minimization for the Stokes problem -- Numerical Modeling of the Two-Phase Flow of Water with Ice in the Tom River -- Remarks on Kaczmarz algorithm for solving consistent and inconsistent system of linear equations -- Investigating the Benefit of FP16-enabled Mixed-precision Solvers for Symmetric Positive Definite Matrices using GPUs -- Simulation versus ordered fuzzy numbers driven approach to multi depot vehicle cyclic routing and scheduling problem -- Epigenetic modification of genetic algorithm -- ITP-KNN: Encrypted Video Flow Identification Based on the Intermittent Traffic Pattern of Video and K-Nearest Neighbors Classification -- DeepAD-a Joint Embedding Approach for Anomaly Detection on Attributed Networks -- SciNER: Extracting Named Entities From Scientific Literature -- GPU-embedding of kNN-graph representing large and high-dimensional data -- Evolving Long Short-Term Memory Networks -- Personality Recognition from Source Code Based on Lexical, Syntactic and Semantic Features -- Data fitting by exponential sums with equal weights -- A Combination of Moment Descriptors, Fourier Transform and Matching Measures for Action Recognition Based on Shape -- Improving accuracy and speeding up Document Image Classification through parallel systems -- Computation of the airborne contaminant transport in urban area by the artificial neural network -- Exploring Musical Structure using Tonnetz Lattice Geometry and LSTMs -- Modeling of Anti-tracking Network based on Convex-polytope Topology -- A Workload Division Differential Privacy Algorithm to Improve the Accuracy for Linear Computations -- On the Automated Assessment of Open-Source Cyber Threat Intelligence Sources -- Malicious Domain DetectionBased on K-means and SMOTE -- Microservice Disaster Crash Recovery: A Weak Global Referential Integrity Management -- Hashing Based Prediction for Large-Scale Kernel Machine -- Picking Peaches or Squeezing Lemons: Selecting Crowdsourcing Workers for Reducing Cost of Redundancy -- Are n-gram Categories Helpful in Text Classification? -- Calculating Reactive Power Compensation for Large-scale Street Lighting -- Developing a Decision Support App for Computational Agriculture -- Optimal Location of Sensors for Early Detection of Tsunami Waves -- A Novel Formulation for Inverse Distance Weighting from Weighted Linear Regression -- Addressing the Robustness of Resource Allocation in the Presence of Application and System Irregularities via PEPA Based Modeling -- An Adaptive Computational Network Model for Strange Loops in Political Evolution in Society -- Joint Entity Linking for Web Tables with Hybrid Semantic Matching -- A new coefficient of rankings similarity in decision-making problems -- Innovativeness Analysis of Scholarly Publications by Age Prediction using Ordinal Regression -- Advantage of Using Spherical over Cartesian Coordinates in the Chromosome Territories 3D Modeling -- Adaptive and Efficient Transfer for Online Remote Visualization of Critical Weather Applications. 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 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part II [documento electrónico] / Krzhizhanovskaya, Valeria V., ; Závodszky, Gábor, ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M. A., ; Brissos, Sérgio, ; Teixeira, João,  . -  1 ed.  . - [s.l.] : Springer, 2020 . - XIX, 697 p. 382 ilustraciones, 216 ilustraciones en color. ISBN : 978-3-030-50417-5 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  Informática  Gestión de base de datos  Teoría de la Computación  Ingeniería Informática y Redes  Matemáticas de la Computación  Sistema de administración de base de datos Índice Dewey: 40.151 Resumen: El conjunto de siete volúmenes LNCS 12137, 12138, 12139, 12140, 12141, 12142 y 12143 constituye las actas de la 20.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2020, celebrada en Ámsterdam, Países Bajos, en junio de 2020.* El total de 101 artículos y 248 artículos de talleres presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados entre 719 presentaciones (230 presentaciones para la vía principal y 489 presentaciones para los talleres). Los artículos se organizaron en secciones temáticas denominadas: Parte I: Vía principal de ICCS Parte II: Vía principal de ICCS Parte III: Avances en ciencias computacionales de la Tierra de alto rendimiento: aplicaciones y marcos; Simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Aplicaciones de Métodos Computacionales en Inteligencia Artificial y Aprendizaje Automático; Desafíos biomédicos y bioinformáticos para la informática Parte IV: Aprendizaje del clasificador a partir de datos difíciles; Sistemas sociales complejos a través de la lente de la ciencia computacional; Salud Computacional; Métodos computacionales para problemas emergentes en el análisis de (des) información Parte V: Optimización, modelado y simulación computacional; Ciencias Computacionales en IoT y Sistemas Inteligentes; Gráficos por computadora, procesamiento de imágenes e inteligencia artificial Parte VI: Ciencias computacionales basadas en datos; Aprendizaje Automático y Asimilación de Datos para Sistemas Dinámicos; Métodos sin malla en ciencias computacionales; Modelado y Simulación Multiescala; Taller de Computación Cuántica Parte VII: Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Sistemas inteligentes: unión de visión por computadora, redes de sensores y aprendizaje automático; Ingeniería de Software para Ciencias Computacionales; Resolver Problemas con Incertidumbres; Enseñanza de Ciencias Computacionales; CUANTIFICACIÓN DE LA INCERTIDUMBRE PARA MODELOS COMPUTACIONALES *La conferencia fue cancelada debido a la pandemia de COVID-19. Nota de contenido: ICCS Main Track -- Modified binary tree in the fast PIES for 2D problems with complex shapes -- Generating Random Floating-Point Numbers by Dividing Integers: a Case Study -- An effective stable numerical method for integrating highly oscillating functions with a linear phase -- Fitting Penalized Logistic Regression Models using QR Factorization -- Uncertainty Quantification in Fractional Stochastic Integro-Differential Equations using Legendre Wavelet Collocation Method -- A Direct High-order Curvilinear Triangular Mesh Generation Method Using an Advancing Front Technique -- Data-driven partial differential equations discovery approach for the noised multi-dimensional data -- Preconditioning Jacobian Systems by Superimposing Diagonal Blocks -- NURBS curves in parametric integral equations system for modeling and solving boundary value problems in elasticity -- Parameterizations and Lagrange Cubics for Fitting Multidimensional Data -- Loop Aggregation for Approximate Scientific Computing.-Numerical Computation for a Flow Caused by a High-speed Traveling Train and a Stationary Overpass -- Bezier surfaces for modeling inclusions in PIES -- Impact of water on methane adsorption in nanopores: A hybrid GCMC-MD simulation study -- A stable discontinuous Galerkin based isogeometric residual minimization for the Stokes problem -- Numerical Modeling of the Two-Phase Flow of Water with Ice in the Tom River -- Remarks on Kaczmarz algorithm for solving consistent and inconsistent system of linear equations -- Investigating the Benefit of FP16-enabled Mixed-precision Solvers for Symmetric Positive Definite Matrices using GPUs -- Simulation versus ordered fuzzy numbers driven approach to multi depot vehicle cyclic routing and scheduling problem -- Epigenetic modification of genetic algorithm -- ITP-KNN: Encrypted Video Flow Identification Based on the Intermittent Traffic Pattern of Video and K-Nearest Neighbors Classification -- DeepAD-a Joint Embedding Approach for Anomaly Detection on Attributed Networks -- SciNER: Extracting Named Entities From Scientific Literature -- GPU-embedding of kNN-graph representing large and high-dimensional data -- Evolving Long Short-Term Memory Networks -- Personality Recognition from Source Code Based on Lexical, Syntactic and Semantic Features -- Data fitting by exponential sums with equal weights -- A Combination of Moment Descriptors, Fourier Transform and Matching Measures for Action Recognition Based on Shape -- Improving accuracy and speeding up Document Image Classification through parallel systems -- Computation of the airborne contaminant transport in urban area by the artificial neural network -- Exploring Musical Structure using Tonnetz Lattice Geometry and LSTMs -- Modeling of Anti-tracking Network based on Convex-polytope Topology -- A Workload Division Differential Privacy Algorithm to Improve the Accuracy for Linear Computations -- On the Automated Assessment of Open-Source Cyber Threat Intelligence Sources -- Malicious Domain DetectionBased on K-means and SMOTE -- Microservice Disaster Crash Recovery: A Weak Global Referential Integrity Management -- Hashing Based Prediction for Large-Scale Kernel Machine -- Picking Peaches or Squeezing Lemons: Selecting Crowdsourcing Workers for Reducing Cost of Redundancy -- Are n-gram Categories Helpful in Text Classification? -- Calculating Reactive Power Compensation for Large-scale Street Lighting -- Developing a Decision Support App for Computational Agriculture -- Optimal Location of Sensors for Early Detection of Tsunami Waves -- A Novel Formulation for Inverse Distance Weighting from Weighted Linear Regression -- Addressing the Robustness of Resource Allocation in the Presence of Application and System Irregularities via PEPA Based Modeling -- An Adaptive Computational Network Model for Strange Loops in Political Evolution in Society -- Joint Entity Linking for Web Tables with Hybrid Semantic Matching -- A new coefficient of rankings similarity in decision-making problems -- Innovativeness Analysis of Scholarly Publications by Age Prediction using Ordinal Regression -- Advantage of Using Spherical over Cartesian Coordinates in the Chromosome Territories 3D Modeling -- Adaptive and Efficient Transfer for Online Remote Visualization of Critical Weather Applications. 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

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  

Público ISBD Ningún comentario para este registro. Título : 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part III Tipo de documento: documento electrónico Autores: Krzhizhanovskaya, Valeria V., ; Závodszky, Gábor, ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M. A., ; Brissos, Sérgio, ; Teixeira, João, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XIX, 648 p. 76 ilustraciones ISBN/ISSN/DL: 978-3-030-50420-5 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  Informática  Ingeniería Informática  Red de computadoras  Visión por computador  Teoría de la Computación  Matemáticas de la Computación  Ingeniería Informática y Redes Índice Dewey: 40.151 Resumen: El conjunto de siete volúmenes LNCS 12137, 12138, 12139, 12140, 12141, 12142 y 12143 constituye las actas de la 20.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2020, celebrada en Ámsterdam, Países Bajos, en junio de 2020.* El total de 101 artículos y 248 artículos de talleres presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados entre 719 presentaciones (230 presentaciones para la vía principal y 489 presentaciones para los talleres). Los artículos se organizaron en secciones temáticas denominadas: Parte I: Vía principal de ICCS Parte II: Vía principal de ICCS Parte III: Avances en ciencias computacionales de la Tierra de alto rendimiento: aplicaciones y marcos; Simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Aplicaciones de Métodos Computacionales en Inteligencia Artificial y Aprendizaje Automático; Desafíos biomédicos y bioinformáticos para la informática Parte IV: Aprendizaje del clasificador a partir de datos difíciles; Sistemas sociales complejos a través de la lente de la ciencia computacional; Salud Computacional; Métodos computacionales para problemas emergentes en el análisis de (des) información Parte V: Optimización, modelado y simulación computacional; Ciencias Computacionales en IoT y Sistemas Inteligentes; Gráficos por computadora, procesamiento de imágenes e inteligencia artificial Parte VI: Ciencias computacionales basadas en datos; Aprendizaje Automático y Asimilación de Datos para Sistemas Dinámicos; Métodos sin malla en ciencias computacionales; Modelado y Simulación Multiescala; Taller de Computación Cuántica Parte VII: Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Sistemas inteligentes: unión de visión por computadora, redes de sensores y aprendizaje automático; Ingeniería de Software para Ciencias Computacionales; Resolver Problemas con Incertidumbres; Enseñanza de Ciencias Computacionales; CUANTIFICACIÓN DE LA INCERTIDUMBRE PARA MODELOS COMPUTACIONALES *La conferencia fue cancelada debido a la pandemia de COVID-19. Nota de contenido: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks -- Data-Driven Approach to Inversion Analysis of Three-dimensional Inner Soil Structure via Wave Propagation Analysis -- Data assimilation in volcano deformation using fast finite element analysis with high fidelity model -- Optimization and Local Time Stepping of an ADER-DG Scheme for Fully Anisotropic Wave Propagation in Complex Geometries -- The challenge of onboard SAR processing: a GPU opportunity -- High-resolution Source Estimation of Volcanic Sulfur Dioxide Emissions Using Large Scale Transport Simulations -- Granulation-based reverse image retrieval for microscopic rock images -- Hybrid SWAN for fast and efficient practical wave modelling - part 2 -- Agent-Based Simulations, Adaptive Algorithms and Solvers -- An agent-based simulation of the spread of Dengue fever -- Hypergraph grammar-based model of adaptive bitmap compression -- Simulation of Neurotransmitter Flow in Three Dimensional Model of Presynaptic Bouton -- Scalable Signal-based Simulation of Autonomous Beings in Complex Environments -- Design of Loss Functions for Solving Inverse Problems using Deep Learning -- Asynchronous Actor-based Approach to Multiobjective Hierarchical Strategy -- MeshingNet: A New Mesh Generation Method based on Deep Learning -- A block preconditioner for scalable large scale finite element incompressible flow simulations -- Integrating Agent-Based Modelling with Copula Theory: Preliminary Insights and Open Problems -- Computational complexity of hierarchically adapted meshes -- A Novel Bio-inspired Hybrid Metaheuristic for Unsolicited Bulk Email Detection -- Applications of Computational Methods in Artificial Intelligence and Machine Learning -- Link Prediction by Analyzing Temporal Behavior of Vertices -- Detecting Most Insightful Parts of Documents using an Attention-Based Model -- Challenge Collapsar(CC) Attack Traffic Detection based on Packet Field Differentiated Preprocessing and Deep Neural Network -- Deep Low-Density Separation for Semi-Supervised Classification -- Learning functions using data-dependent regularization: Representer theorem revisited -- Reduction of Numerical Errors in Zernike Invariants Computed via Complex-Valued Integral Images -- Effect of Dataset Size on Efficiency of Collaborative Filtering Recommender Systems with Multi-Clustering as a Neighbourhood Identification Strategy -- GCN-IA: User Profile Based on Graph Convolutional Network with Implicit Association Labels -- Interval AdjointSignificance Analysis for Neural Networks -- Ringer: Systematic Mining of Malicious Domains by Dynamic Graph Convolutional Network -- An Empirical Evaluation Of Attention And Pointer Networks For Paraphrase Generation -- Interval methods for seeking fixed points of recurrent neural networks -- Fusion Learning: A One Shot Federated Learning -- The concept of system for automated scientific literature reviews generation -- A Proposed Machine Learning Model for Forecasting Impact of Traffic-Induced Vibrations on Buildings -- Retrain or not retrain ? - efficient pruning methods of deep CNN networks -- Hidden Markov Models and their Application for Predicting Failure Events -- Biomedical and Bioinformatics Challenges for Computer Science -- Reference-based Haplotype Phasing with FPGAs -- Tree Based Advanced Relative Expression Analysis -- Testing the significance of interactions in genetic studies using interaction information and resampling technique -- Analysis of ensemble feature selection for correlated high-dimensional RNA-Seq cancer data -- Biological Network Visualization for Targeted Proteomics based on Mean First-Passage Time in Semi-Lazy Random Walks -- Bootstrap Bias Corrected Cross Validation applied to Super Learning -- MMRF-CoMMpass data integration and analysis for identifying prognostic markers -- Using machine learning in accuracy assessment of knowledge-based energy and frequency base likelihood in protein structures -- Quantifying Overfitting Potential in Drug Binding Datasets -- Detection of Tumoral Epithelial Lesions Using Hyperspectral Imaging and Deep Learning -- Statistical iterative reconstruction algorithm based on a continuous-tocontinuous model formulated for spiral cone-beam CT -- Classification of lung diseases using deep learning models -- An Adaptive Space-Filling Curve Trajectory for Mapping 3D Datasets to 1D: Application to Brain Magnetic Resonance Imaging Data for Classification. 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 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part III [documento electrónico] / Krzhizhanovskaya, Valeria V., ; Závodszky, Gábor, ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M. A., ; Brissos, Sérgio, ; Teixeira, João,  . -  1 ed.  . - [s.l.] : Springer, 2020 . - XIX, 648 p. 76 ilustraciones. ISBN : 978-3-030-50420-5 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  Informática  Ingeniería Informática  Red de computadoras  Visión por computador  Teoría de la Computación  Matemáticas de la Computación  Ingeniería Informática y Redes Índice Dewey: 40.151 Resumen: El conjunto de siete volúmenes LNCS 12137, 12138, 12139, 12140, 12141, 12142 y 12143 constituye las actas de la 20.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2020, celebrada en Ámsterdam, Países Bajos, en junio de 2020.* El total de 101 artículos y 248 artículos de talleres presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados entre 719 presentaciones (230 presentaciones para la vía principal y 489 presentaciones para los talleres). Los artículos se organizaron en secciones temáticas denominadas: Parte I: Vía principal de ICCS Parte II: Vía principal de ICCS Parte III: Avances en ciencias computacionales de la Tierra de alto rendimiento: aplicaciones y marcos; Simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Aplicaciones de Métodos Computacionales en Inteligencia Artificial y Aprendizaje Automático; Desafíos biomédicos y bioinformáticos para la informática Parte IV: Aprendizaje del clasificador a partir de datos difíciles; Sistemas sociales complejos a través de la lente de la ciencia computacional; Salud Computacional; Métodos computacionales para problemas emergentes en el análisis de (des) información Parte V: Optimización, modelado y simulación computacional; Ciencias Computacionales en IoT y Sistemas Inteligentes; Gráficos por computadora, procesamiento de imágenes e inteligencia artificial Parte VI: Ciencias computacionales basadas en datos; Aprendizaje Automático y Asimilación de Datos para Sistemas Dinámicos; Métodos sin malla en ciencias computacionales; Modelado y Simulación Multiescala; Taller de Computación Cuántica Parte VII: Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Sistemas inteligentes: unión de visión por computadora, redes de sensores y aprendizaje automático; Ingeniería de Software para Ciencias Computacionales; Resolver Problemas con Incertidumbres; Enseñanza de Ciencias Computacionales; CUANTIFICACIÓN DE LA INCERTIDUMBRE PARA MODELOS COMPUTACIONALES *La conferencia fue cancelada debido a la pandemia de COVID-19. Nota de contenido: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks -- Data-Driven Approach to Inversion Analysis of Three-dimensional Inner Soil Structure via Wave Propagation Analysis -- Data assimilation in volcano deformation using fast finite element analysis with high fidelity model -- Optimization and Local Time Stepping of an ADER-DG Scheme for Fully Anisotropic Wave Propagation in Complex Geometries -- The challenge of onboard SAR processing: a GPU opportunity -- High-resolution Source Estimation of Volcanic Sulfur Dioxide Emissions Using Large Scale Transport Simulations -- Granulation-based reverse image retrieval for microscopic rock images -- Hybrid SWAN for fast and efficient practical wave modelling - part 2 -- Agent-Based Simulations, Adaptive Algorithms and Solvers -- An agent-based simulation of the spread of Dengue fever -- Hypergraph grammar-based model of adaptive bitmap compression -- Simulation of Neurotransmitter Flow in Three Dimensional Model of Presynaptic Bouton -- Scalable Signal-based Simulation of Autonomous Beings in Complex Environments -- Design of Loss Functions for Solving Inverse Problems using Deep Learning -- Asynchronous Actor-based Approach to Multiobjective Hierarchical Strategy -- MeshingNet: A New Mesh Generation Method based on Deep Learning -- A block preconditioner for scalable large scale finite element incompressible flow simulations -- Integrating Agent-Based Modelling with Copula Theory: Preliminary Insights and Open Problems -- Computational complexity of hierarchically adapted meshes -- A Novel Bio-inspired Hybrid Metaheuristic for Unsolicited Bulk Email Detection -- Applications of Computational Methods in Artificial Intelligence and Machine Learning -- Link Prediction by Analyzing Temporal Behavior of Vertices -- Detecting Most Insightful Parts of Documents using an Attention-Based Model -- Challenge Collapsar(CC) Attack Traffic Detection based on Packet Field Differentiated Preprocessing and Deep Neural Network -- Deep Low-Density Separation for Semi-Supervised Classification -- Learning functions using data-dependent regularization: Representer theorem revisited -- Reduction of Numerical Errors in Zernike Invariants Computed via Complex-Valued Integral Images -- Effect of Dataset Size on Efficiency of Collaborative Filtering Recommender Systems with Multi-Clustering as a Neighbourhood Identification Strategy -- GCN-IA: User Profile Based on Graph Convolutional Network with Implicit Association Labels -- Interval AdjointSignificance Analysis for Neural Networks -- Ringer: Systematic Mining of Malicious Domains by Dynamic Graph Convolutional Network -- An Empirical Evaluation Of Attention And Pointer Networks For Paraphrase Generation -- Interval methods for seeking fixed points of recurrent neural networks -- Fusion Learning: A One Shot Federated Learning -- The concept of system for automated scientific literature reviews generation -- A Proposed Machine Learning Model for Forecasting Impact of Traffic-Induced Vibrations on Buildings -- Retrain or not retrain ? - efficient pruning methods of deep CNN networks -- Hidden Markov Models and their Application for Predicting Failure Events -- Biomedical and Bioinformatics Challenges for Computer Science -- Reference-based Haplotype Phasing with FPGAs -- Tree Based Advanced Relative Expression Analysis -- Testing the significance of interactions in genetic studies using interaction information and resampling technique -- Analysis of ensemble feature selection for correlated high-dimensional RNA-Seq cancer data -- Biological Network Visualization for Targeted Proteomics based on Mean First-Passage Time in Semi-Lazy Random Walks -- Bootstrap Bias Corrected Cross Validation applied to Super Learning -- MMRF-CoMMpass data integration and analysis for identifying prognostic markers -- Using machine learning in accuracy assessment of knowledge-based energy and frequency base likelihood in protein structures -- Quantifying Overfitting Potential in Drug Binding Datasets -- Detection of Tumoral Epithelial Lesions Using Hyperspectral Imaging and Deep Learning -- Statistical iterative reconstruction algorithm based on a continuous-tocontinuous model formulated for spiral cone-beam CT -- Classification of lung diseases using deep learning models -- An Adaptive Space-Filling Curve Trajectory for Mapping 3D Datasets to 1D: Application to Brain Magnetic Resonance Imaging Data for Classification. 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

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

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

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Computational Science – ICCS 2018 / Shi, Yong ; Fu, Haohuan ; Tian, Yingjie ; Krzhizhanovskaya, Valeria V. ; Lees, Michael Harold ; Dongarra, Jack ; Sloot, Peter M. A.  

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