Título :	21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part I
Tipo de documento:	documento electrónico
Autores:	Paszynski, Maciej, ; Kranzlmüller, Dieter, ; Krzhizhanovskaya, Valeria V., ; Dongarra, Jack J., ; Sloot, Peter M. A.,
Mención de edición:	1 ed.
Editorial:	[s.l.] : Springer
Fecha de publicación:	2021
Número de páginas:	XX, 797 p. 294 ilustraciones, 232 ilustraciones en color.
ISBN/ISSN/DL:	978-3-030-77961-0
Nota general:	Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave:	Ciencias de la Computación  Inteligencia artificial  Ingeniería Informática  Red de computadoras  Informática  Visión por computador  Teoría de la Computación  Ingeniería Informática y Redes  Matemáticas de la Computación
Índice Dewey:	40.151
Resumen:	El conjunto de seis volúmenes LNCS 12742, 12743, 12744, 12745, 12746 y 12747 constituye las actas de la 21.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2021, celebrada en Cracovia, Polonia, en junio de 2021.* El total de 260 artículos completos y 57 artículos breves presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados entre 635 presentaciones. Se aceptaron 48 artículos completos y 14 breves en la sección principal de 156 presentaciones; Se aceptaron 212 artículos completos y 43 breves para los talleres/vías temáticas de 479 presentaciones. Los artículos se organizaron en secciones temáticas denominadas: Parte I: Vía principal de ICCS Parte II: Avances en ciencias computacionales de la Tierra de alto rendimiento: aplicaciones y marcos; Aplicaciones de Métodos Computacionales en Inteligencia Artificial y Aprendizaje Automático; Inteligencia Artificial y Computación de Alto Rendimiento para Simulaciones Avanzadas; Desafíos biomédicos y bioinformáticos para la informática Parte III: Aprendizaje del clasificador a partir de datos difíciles; Análisis Computacional de Sistemas Sociales Complejos; Inteligencia Colectiva Computacional; Salud computacional Parte IV: Métodos computacionales para problemas emergentes en el análisis de (des)información; Métodos Computacionales en Agricultura Inteligente; Optimización, Modelado y Simulación Computacional; Ciencias Computacionales en IoT y Sistemas Inteligentes Parte V: Gráficos por Computadora, Procesamiento de Imágenes e Inteligencia Artificial; Ciencias Computacionales Basadas en Datos; Aprendizaje Automático y Asimilación de Datos para Sistemas Dinámicos; Métodos MeshFree y funciones de base radial en ciencias computacionales; Modelado y Simulación Multiescala Parte VI: Taller de Computación Cuántica; 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 Incertidumbre; Enseñanza de Ciencias Computacionales; Cuantificación de la incertidumbre para modelos computacionales *La conferencia se realizó de manera virtual. El capítulo "Método de elementos finitos hp autoadaptativo impulsado por aprendizaje profundo" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com.
Nota de contenido:	ICCS Main Track -- Smoothing Speed Variability in Age-Friendly Urban Traffic Management -- An innovative employment of NetLogo AIDS model in developing a new chain coding mechanism for compression -- Simulation modeling of epidemic risk in supermarkets: Investigating the impact of social distancing and checkout zone design -- A multi-cell cellular automata model of traffic flow with emergency vehicles: effect of a corridor of life -- HSLF: HTTP Header Sequence based LSH fingerprints for Application Traffic Classification -- Music genre classification: looking for the Perfect Network -- Big Data for National Security in the Era of COVID-19 -- Efficient prediction of spatio-temporal events on the example of the availability of vehicles rented per minute -- Grouped Multi-Layer Echo State Networks with Self-Normalizing Activations -- SGAIN, WSGAIN-CP and WSGAIN-GP: Novel Gan Methods for Missing Data Imputation -- Deep learning driven self-adaptive hp finite element method -- Machine-Learning Based Prediction of Multiple Types of Network Traffic -- Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets -- Out-plant milk-run-driven mission planning subject to dynamic changes of date and place delivery -- An Efficient Hybrid Planning Framework for In-Station Train Dispatching -- Evaluating energy-aware scheduling algorithms for I/O-intensive scientific workflows -- A Job Shop Scheduling Problem with Due Dates under Conditions of Uncertainty -- New variants of SDLS algorithm for LABS problem dedicated to GPGPU architectures -- Highly Effective GPU Realization of Discrete Wavelet Transform for Big-Data Problems -- A Dynamic Replication Approach for Monte Carlo Photon Transport on Heterogeneous Architectures -- Scientific workflow management on hybrid clouds with cloud bursting and transparent data access -- Scaling Simulation of Continuous Urban Traffic Model for High Performance Computing System -- A Semi-Supervised Approach for Trajectory Segmentation to Identify Different Moisture Processes in the Atmosphere -- mRelief: A Reward Penalty based Feature SubsetSelection Considering Data Overlapping Problem -- Reconstruction of Long-Lived Particles in LHCb CERN Project by Data Analysis and Computational Intelligence Methods -- Motion Trajectory Grouping for Human Head Gestures Related to Facial Expressions -- DenLAC: Density Levels Aggregation Clustering - A Flexible Clustering Method -- Acceleration of the Robust Newton Method by the use of the S-iteration -- A New Approach to Eliminate Rank Reversal in the MCDA problems -- Validating Optimal COVID-19 Vaccine Distribution Models -- RNACache: Fast Mapping of RNA-Seq Reads to Transcriptomes using MinHashing -- Digital image reduction for analysis of topological changes in pore space during chemical dissolution -- Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks -- Analytic and Numerical Solutions of Space-Time Fractional Diffusion Wave Equationswith different Fractional order -- Chebyshev-type rational approximations of the one-way Helmholtz equation for solving a class of wave propagation problems -- Investigating In Situ Reduction via Lagrangian Representations for Cosmology and Seismology Applications -- Revolve-Based Adjoint Checkpointing for Multistage Time Integration -- Comprehensive regularization of PIES for problems modeled by 2D Laplace's equation -- High Resolution TVD Scheme based on Fuzzy Modifiers for Shallow-Water equations -- PIES for viscoelastic analysis -- Fast and Accurate Determination of Graph Node Connectivity Leveraging Approximate Methods -- An Exact Algorithm for Finite Metric Space Embedding into a Euclidean Space when the Dimension of the Space is not Known -- Resolving Policy Conflicts for Cross-Domain Access Control: A Double Auction Approach -- An Adaptive Network Model for Procrastination Behaviour Including Self-Regulation and Emotion Regulation -- Improved Lower Bounds for the Cyclic Bandwidth Problem -- Co-evolution of Knowledge Diffusion and Absorption: A Simulation-Based Analysis -- Estimation of Road Lighting Power Efficiency Using Graph-Controlled Spatial Data Interpretation -- Embedding alignment methods in dynamic networks -- The OpenPME Problem Solving Environment for Numerical Simulations -- Building a Prototype for Easy to Use Collaborative Immersive Analytics -- Implementation of Auditable Blockchain Voting System with Hyperledger Fabric -- Quantum Data Hub: A Collaborative Data and Analysis Platform for Quantum Material Science -- Hierarchical Analysis of Halo Center in Cosmology -- Fast Click-Through Rate Estimation using Data Aggregates -- A Model for Predicting n-gram Frequency Distribution in Large Corpora -- Exploiting Extensive External Information for Event Detection through Semantic Networks Word Representation and Attention Map -- A New Consistency Coefficient in the Multi-Criteria Decision Analysis Domain -- Predicting the Age of Scientific Papers -- Data Augmentation for Copy-Mechanism in Dialogue State Tracking -- Ensemble Labeling Towards Scientific Information Extraction (ELSIE) -- Error estimation and correction using the forward CENA method -- Monte Carlo Approach to the Computational Capacities Analysis of the Computing Continuum.
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

21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part I [documento electrónico] / Paszynski, Maciej, ; Kranzlmüller, Dieter, ; Krzhizhanovskaya, Valeria V., ; Dongarra, Jack J., ; Sloot, Peter M. A.,  . -  1 ed.  . - [s.l.] : Springer, 2021 . - XX, 797 p. 294 ilustraciones, 232 ilustraciones en color.
ISBN : 978-3-030-77961-0
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.

Palabras clave:	Ciencias de la Computación  Inteligencia artificial  Ingeniería Informática  Red de computadoras  Informática  Visión por computador  Teoría de la Computación  Ingeniería Informática y Redes  Matemáticas de la Computación
Índice Dewey:	40.151
Resumen:	El conjunto de seis volúmenes LNCS 12742, 12743, 12744, 12745, 12746 y 12747 constituye las actas de la 21.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2021, celebrada en Cracovia, Polonia, en junio de 2021.* El total de 260 artículos completos y 57 artículos breves presentados en este conjunto de libros fueron cuidadosamente revisados ​​y seleccionados entre 635 presentaciones. Se aceptaron 48 artículos completos y 14 breves en la sección principal de 156 presentaciones; Se aceptaron 212 artículos completos y 43 breves para los talleres/vías temáticas de 479 presentaciones. Los artículos se organizaron en secciones temáticas denominadas: Parte I: Vía principal de ICCS Parte II: Avances en ciencias computacionales de la Tierra de alto rendimiento: aplicaciones y marcos; Aplicaciones de Métodos Computacionales en Inteligencia Artificial y Aprendizaje Automático; Inteligencia Artificial y Computación de Alto Rendimiento para Simulaciones Avanzadas; Desafíos biomédicos y bioinformáticos para la informática Parte III: Aprendizaje del clasificador a partir de datos difíciles; Análisis Computacional de Sistemas Sociales Complejos; Inteligencia Colectiva Computacional; Salud computacional Parte IV: Métodos computacionales para problemas emergentes en el análisis de (des)información; Métodos Computacionales en Agricultura Inteligente; Optimización, Modelado y Simulación Computacional; Ciencias Computacionales en IoT y Sistemas Inteligentes Parte V: Gráficos por Computadora, Procesamiento de Imágenes e Inteligencia Artificial; Ciencias Computacionales Basadas en Datos; Aprendizaje Automático y Asimilación de Datos para Sistemas Dinámicos; Métodos MeshFree y funciones de base radial en ciencias computacionales; Modelado y Simulación Multiescala Parte VI: Taller de Computación Cuántica; 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 Incertidumbre; Enseñanza de Ciencias Computacionales; Cuantificación de la incertidumbre para modelos computacionales *La conferencia se realizó de manera virtual. El capítulo "Método de elementos finitos hp autoadaptativo impulsado por aprendizaje profundo" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com.
Nota de contenido:	ICCS Main Track -- Smoothing Speed Variability in Age-Friendly Urban Traffic Management -- An innovative employment of NetLogo AIDS model in developing a new chain coding mechanism for compression -- Simulation modeling of epidemic risk in supermarkets: Investigating the impact of social distancing and checkout zone design -- A multi-cell cellular automata model of traffic flow with emergency vehicles: effect of a corridor of life -- HSLF: HTTP Header Sequence based LSH fingerprints for Application Traffic Classification -- Music genre classification: looking for the Perfect Network -- Big Data for National Security in the Era of COVID-19 -- Efficient prediction of spatio-temporal events on the example of the availability of vehicles rented per minute -- Grouped Multi-Layer Echo State Networks with Self-Normalizing Activations -- SGAIN, WSGAIN-CP and WSGAIN-GP: Novel Gan Methods for Missing Data Imputation -- Deep learning driven self-adaptive hp finite element method -- Machine-Learning Based Prediction of Multiple Types of Network Traffic -- Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets -- Out-plant milk-run-driven mission planning subject to dynamic changes of date and place delivery -- An Efficient Hybrid Planning Framework for In-Station Train Dispatching -- Evaluating energy-aware scheduling algorithms for I/O-intensive scientific workflows -- A Job Shop Scheduling Problem with Due Dates under Conditions of Uncertainty -- New variants of SDLS algorithm for LABS problem dedicated to GPGPU architectures -- Highly Effective GPU Realization of Discrete Wavelet Transform for Big-Data Problems -- A Dynamic Replication Approach for Monte Carlo Photon Transport on Heterogeneous Architectures -- Scientific workflow management on hybrid clouds with cloud bursting and transparent data access -- Scaling Simulation of Continuous Urban Traffic Model for High Performance Computing System -- A Semi-Supervised Approach for Trajectory Segmentation to Identify Different Moisture Processes in the Atmosphere -- mRelief: A Reward Penalty based Feature SubsetSelection Considering Data Overlapping Problem -- Reconstruction of Long-Lived Particles in LHCb CERN Project by Data Analysis and Computational Intelligence Methods -- Motion Trajectory Grouping for Human Head Gestures Related to Facial Expressions -- DenLAC: Density Levels Aggregation Clustering - A Flexible Clustering Method -- Acceleration of the Robust Newton Method by the use of the S-iteration -- A New Approach to Eliminate Rank Reversal in the MCDA problems -- Validating Optimal COVID-19 Vaccine Distribution Models -- RNACache: Fast Mapping of RNA-Seq Reads to Transcriptomes using MinHashing -- Digital image reduction for analysis of topological changes in pore space during chemical dissolution -- Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks -- Analytic and Numerical Solutions of Space-Time Fractional Diffusion Wave Equationswith different Fractional order -- Chebyshev-type rational approximations of the one-way Helmholtz equation for solving a class of wave propagation problems -- Investigating In Situ Reduction via Lagrangian Representations for Cosmology and Seismology Applications -- Revolve-Based Adjoint Checkpointing for Multistage Time Integration -- Comprehensive regularization of PIES for problems modeled by 2D Laplace's equation -- High Resolution TVD Scheme based on Fuzzy Modifiers for Shallow-Water equations -- PIES for viscoelastic analysis -- Fast and Accurate Determination of Graph Node Connectivity Leveraging Approximate Methods -- An Exact Algorithm for Finite Metric Space Embedding into a Euclidean Space when the Dimension of the Space is not Known -- Resolving Policy Conflicts for Cross-Domain Access Control: A Double Auction Approach -- An Adaptive Network Model for Procrastination Behaviour Including Self-Regulation and Emotion Regulation -- Improved Lower Bounds for the Cyclic Bandwidth Problem -- Co-evolution of Knowledge Diffusion and Absorption: A Simulation-Based Analysis -- Estimation of Road Lighting Power Efficiency Using Graph-Controlled Spatial Data Interpretation -- Embedding alignment methods in dynamic networks -- The OpenPME Problem Solving Environment for Numerical Simulations -- Building a Prototype for Easy to Use Collaborative Immersive Analytics -- Implementation of Auditable Blockchain Voting System with Hyperledger Fabric -- Quantum Data Hub: A Collaborative Data and Analysis Platform for Quantum Material Science -- Hierarchical Analysis of Halo Center in Cosmology -- Fast Click-Through Rate Estimation using Data Aggregates -- A Model for Predicting n-gram Frequency Distribution in Large Corpora -- Exploiting Extensive External Information for Event Detection through Semantic Networks Word Representation and Attention Map -- A New Consistency Coefficient in the Multi-Criteria Decision Analysis Domain -- Predicting the Age of Scientific Papers -- Data Augmentation for Copy-Mechanism in Dialogue State Tracking -- Ensemble Labeling Towards Scientific Information Extraction (ELSIE) -- Error estimation and correction using the forward CENA method -- Monte Carlo Approach to the Computational Capacities Analysis of the Computing Continuum.
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