Advances and New Trends in Environmental Informatics / Bungartz, Hans-Joachim ; Kranzlmüller, Dieter ; Weinberg, Volker ; Weismüller, Jens ; Wohlgemuth, Volker  

Público ISBD Ningún comentario para este registro. Título : Advances and New Trends in Environmental Informatics : Managing Disruption, Big Data and Open Science Tipo de documento: documento electrónico Autores: Bungartz, Hans-Joachim, ; Kranzlmüller, Dieter, ; Weinberg, Volker, ; Weismüller, Jens, ; Wohlgemuth, Volker, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XIII, 260 p. 69 ilustraciones ISBN/ISSN/DL: 978-3-319-99654-7 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Red de computadoras  Servicios de información empresarial  Gestión ambiental  Fuentes de energía renovable  Tecnología de la información  Sostenibilidad  Redes de comunicación informática  Sistemas de Información Empresarial  Energía renovable  Infraestructura de TI empresarial Clasificación: 004.6 Ciencia de los computadores (Interfaces y comunicaciones) Resumen: Este libro presenta los últimos hallazgos y las investigaciones en curso en el campo de la informática ambiental. Aborda una amplia gama de actividades transversales, como la informática eficiente, la realidad virtual, la gestión de las disrupciones, los macrodatos, la ciencia abierta y el Internet de las cosas, y muestra cómo estas tecnologías verdes de la información y la comunicación (TIC) pueden utilizarse para eficazmente abordar los desafíos ambientales y sociales. Al presentar una selección de contribuciones ampliadas a la 32.ª edición de la Conferencia Internacional EnviroInfo 2018, en el Centro de Supercomputación Leibniz en Garching, cerca de Munich, es una lectura esencial para cualquiera que busque ampliar su experiencia en el área. Nota de contenido: Part I: Environmental Information Systems, Platforms and Tools -- Part II: Information and Communication Technology -- Part III: Environmental Modelling and Simulation -- Part IV: Sustainable Mobility -- Part V: Industrial Symbiosis -- Part VI: Disaster and Risk Management. . Tipo de medio : Computadora Summary : This book presents the latest findings and ongoing research in the field of environmental informatics. It addresses a wide range of cross-cutting activities, such as efficient computing, virtual reality, disruption management, big data, open science and the internet of things, and showcases how these green information & communication technologies (ICT) can be used to effectively address environmental and societal challenges. Presenting a selection of extended contributions to the 32nd edition of the International Conference EnviroInfo 2018, at the Leibniz Supercomputing Centre in Garching near Munich, it is essential reading for anyone looking to expand their expertise in the area. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances and New Trends in Environmental Informatics : Managing Disruption, Big Data and Open Science [documento electrónico] / Bungartz, Hans-Joachim, ; Kranzlmüller, Dieter, ; Weinberg, Volker, ; Weismüller, Jens, ; Wohlgemuth, Volker,  . -  1 ed.  . - [s.l.] : Springer, 2018 . - XIII, 260 p. 69 ilustraciones. ISBN : 978-3-319-99654-7 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Red de computadoras  Servicios de información empresarial  Gestión ambiental  Fuentes de energía renovable  Tecnología de la información  Sostenibilidad  Redes de comunicación informática  Sistemas de Información Empresarial  Energía renovable  Infraestructura de TI empresarial Clasificación: 004.6 Ciencia de los computadores (Interfaces y comunicaciones) Resumen: Este libro presenta los últimos hallazgos y las investigaciones en curso en el campo de la informática ambiental. Aborda una amplia gama de actividades transversales, como la informática eficiente, la realidad virtual, la gestión de las disrupciones, los macrodatos, la ciencia abierta y el Internet de las cosas, y muestra cómo estas tecnologías verdes de la información y la comunicación (TIC) pueden utilizarse para eficazmente abordar los desafíos ambientales y sociales. Al presentar una selección de contribuciones ampliadas a la 32.ª edición de la Conferencia Internacional EnviroInfo 2018, en el Centro de Supercomputación Leibniz en Garching, cerca de Munich, es una lectura esencial para cualquiera que busque ampliar su experiencia en el área. Nota de contenido: Part I: Environmental Information Systems, Platforms and Tools -- Part II: Information and Communication Technology -- Part III: Environmental Modelling and Simulation -- Part IV: Sustainable Mobility -- Part V: Industrial Symbiosis -- Part VI: Disaster and Risk Management. . Tipo de medio : Computadora Summary : This book presents the latest findings and ongoing research in the field of environmental informatics. It addresses a wide range of cross-cutting activities, such as efficient computing, virtual reality, disruption management, big data, open science and the internet of things, and showcases how these green information & communication technologies (ICT) can be used to effectively address environmental and societal challenges. Presenting a selection of extended contributions to the 32nd edition of the International Conference EnviroInfo 2018, at the Leibniz Supercomputing Centre in Garching near Munich, it is essential reading for anyone looking to expand their expertise in the area. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]

Computational Science – ICCS 2021 / Paszynski, Maciej ; Kranzlmüller, Dieter ; Krzhizhanovskaya, Valeria V. ; Dongarra, Jack J. ; Sloot, Peter M. A.  

Público ISBD Ningún comentario para este registro. Título : Computational Science – ICCS 2021 : 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. Idioma : Inglés (eng) 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 Clasificación: 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. Tipo de medio : Computadora Summary : The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. Chapter "Deep Learning Driven Self-adaptive hp Finite Element Method" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Computational Science – ICCS 2021 : 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. Idioma : Inglés (eng) 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 Clasificación: 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. Tipo de medio : Computadora Summary : The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. Chapter "Deep Learning Driven Self-adaptive hp Finite Element Method" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]

Computational Science – ICCS 2021 / Paszynski, Maciej ; Kranzlmüller, Dieter ; Krzhizhanovskaya, Valeria V. ; Dongarra, Jack J. ; Sloot, Peter M. A.  

Público ISBD Ningún comentario para este registro. Título : Computational Science – ICCS 2021 : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part II / 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: XIX, 596 p. 34 ilustraciones ISBN/ISSN/DL: 978-3-030-77964-1 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ciencias de la Computación  Inteligencia artificial  Informática  Ingeniería Informática  Red de computadoras  Visión por computador  Teoría de la Computación  Matemáticas de la Computación  Ingeniería Informática y Redes Clasificación: 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 se revisaron y seleccionaron cuidadosamente de 635 presentaciones. Se aceptaron 48 artículos completos y 14 artículos breves para la vía principal de 156 presentaciones; se aceptaron 212 artículos completos y 43 artículos 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 de la Tierra computacionales 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 de clasificadores 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; Ciencia computacional en IoT y sistemas inteligentes Parte V: Gráficos de computadora, procesamiento de imágenes e inteligencia artificial; Ciencias computacionales basadas en datos; Aprendizaje automático y asimilación de datos para sistemas dinámicos; Métodos sin malla 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: uniendo visión computacional, redes de sensores y aprendizaje automático; Ingeniería de software para ciencia computacional; Solución de problemas con incertidumbre; Enseñanza de ciencia computacional; Cuantificación de la incertidumbre para modelos computacionales *La conferencia se realizó de manera virtual. El capítulo "Solución efectiva de problemas inversos mal planteados con un solucionador directo estabilizado" está disponible en acceso abierto bajo una licencia Creative Commons Attribution 4.0 International License a través de link.springer.com. Nota de contenido: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks -- Large-scale stabilized multi-physics earthquake simulation for digital twin -- On the design of Monte-Carlo particle coagulation solver interface: a CPU/GPU Super-Droplet Method case study with PySDM -- Applications of Computational Methods in Artificial Intelligence and Machine Learning -- A Deep Neural Network Based on Stacked Auto-Encoder and Dataset Stratification in Indoor Localization -- Recurrent Autoencoder with Sequence-Aware Encoding -- A Gist Information Guided Neural Network for Abstractive Summarization -- Quality of Recommendations and Cold-start Problem in Recommender Systems based on Multi-Clusters -- Model of the Cold-start Recommender System Based on the Petri-Markov Nets -- Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions -- Unsupervised Text Style Transfer via An Enhanced Operation Pipeline -- Exemplar Guided Latent Pre-trained Dialogue Generation -- Monte Carlo Winning Tickets -- Interpreting Neural Networks Prediction for a Single Instance via Random Forest Feature Contributions -- A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD -- Trojan Traffic Detection Based on Meta-learning -- Grasp the Key: Towards Fast and Accurate Host-based Intrusion Detection in Data Centers -- MGEL: A Robust Malware Encrypted Traffic Detection Method Based on Ensemble Learning with Multi-Grained Features -- TS-Bert: Time-series Anomaly Detection via Pre-training Model Bert -- Relation order histograms as a network embedding tool -- Desensitization Due to Overstimulation: A Second-Order Adaptive Network Model -- A modified deep Q-network algorithm applied to the evacuation problem -- Human-like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling -- Discriminative Bayesian Filtering for the Semi-Supervised Augmentation of Sequential Observation Data -- TSAX is Trending- MultiEmo: Multilingual, Multilevel, Multidomain Sentiment Analysis Corpus of Consumer Reviews -- Artificial Intelligence and High-Performance Computing for Advanced Simulations -- Outlier removal for isogeometric spectral approximation with the optimally-blended quadratures -- Socio-cognitive Evolution Strategies -- Effective solution of ill-posed inverse problems with stabilized forward solver -- Supermodeling - a meta-procedure for data assimilation and parameters estimation -- AI-accelerated CFD simulation based on OpenFOAM and CPU/GPU computing -- An application of a pseudo-parabolic modeling to texture image recognition -- A study on a feedforward neural network to solve partial differential equations in hyperbolic-transport problems -- Agent-based Modeling of Social Phenomena for High Performance Distributed Simulations -- Automated Method for Evaluating Neural Network's Attention Focus -- Machine Learning Control Design for Elastic Composite Materials -- Optimize Memory Usage in Vector Particle-In-Cell (VPIC)to Break the 10 Trillion Particle Barrier in Plasma Simulations -- Deep learning for prediction of complex geology ahead of drilling -- Biomedical and Bioinformatics Challenges for Computer Science -- Controlling costs in feature selection: information theoretic approach -- How fast vaccination can control the COVID-19 pandemic in Brazil? -- Uncertainty Quantification of Tissue Damage Due to Blood Velocity in Hyperthermia Cancer Treatments -- EEG-based Emotion Recognition – Evaluation Methodology Revisited -- Modeling the electromechanics of a single cardiac myocyte -- Towards Mimetic Membrane Systems in Molecular Dynamics: Characteristics of E. coli Membrane System -- PathMEx: Pathway-based Mutual Exclusivity for Discovering Rare Cancer Driver Mutations -- Serverless Nanopore Basecalling with AWS Lambda -- A Software Pipeline Based on Sentiment Analysis to Analyze Narrative Medicine Texts. Tipo de medio : Computadora Summary : The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. Chapter "Effective Solution of Ill-posed Inverse Problems with Stabilized Forward Solver" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Computational Science – ICCS 2021 : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part II / [documento electrónico] / Paszynski, Maciej, ; Kranzlmüller, Dieter, ; Krzhizhanovskaya, Valeria V., ; Dongarra, Jack J., ; Sloot, Peter M. A.,  . -  1 ed.  . - [s.l.] : Springer, 2021 . - XIX, 596 p. 34 ilustraciones. ISBN : 978-3-030-77964-1 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ciencias de la Computación  Inteligencia artificial  Informática  Ingeniería Informática  Red de computadoras  Visión por computador  Teoría de la Computación  Matemáticas de la Computación  Ingeniería Informática y Redes Clasificación: 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 se revisaron y seleccionaron cuidadosamente de 635 presentaciones. Se aceptaron 48 artículos completos y 14 artículos breves para la vía principal de 156 presentaciones; se aceptaron 212 artículos completos y 43 artículos 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 de la Tierra computacionales 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 de clasificadores 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; Ciencia computacional en IoT y sistemas inteligentes Parte V: Gráficos de computadora, procesamiento de imágenes e inteligencia artificial; Ciencias computacionales basadas en datos; Aprendizaje automático y asimilación de datos para sistemas dinámicos; Métodos sin malla 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: uniendo visión computacional, redes de sensores y aprendizaje automático; Ingeniería de software para ciencia computacional; Solución de problemas con incertidumbre; Enseñanza de ciencia computacional; Cuantificación de la incertidumbre para modelos computacionales *La conferencia se realizó de manera virtual. El capítulo "Solución efectiva de problemas inversos mal planteados con un solucionador directo estabilizado" está disponible en acceso abierto bajo una licencia Creative Commons Attribution 4.0 International License a través de link.springer.com. Nota de contenido: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks -- Large-scale stabilized multi-physics earthquake simulation for digital twin -- On the design of Monte-Carlo particle coagulation solver interface: a CPU/GPU Super-Droplet Method case study with PySDM -- Applications of Computational Methods in Artificial Intelligence and Machine Learning -- A Deep Neural Network Based on Stacked Auto-Encoder and Dataset Stratification in Indoor Localization -- Recurrent Autoencoder with Sequence-Aware Encoding -- A Gist Information Guided Neural Network for Abstractive Summarization -- Quality of Recommendations and Cold-start Problem in Recommender Systems based on Multi-Clusters -- Model of the Cold-start Recommender System Based on the Petri-Markov Nets -- Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions -- Unsupervised Text Style Transfer via An Enhanced Operation Pipeline -- Exemplar Guided Latent Pre-trained Dialogue Generation -- Monte Carlo Winning Tickets -- Interpreting Neural Networks Prediction for a Single Instance via Random Forest Feature Contributions -- A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD -- Trojan Traffic Detection Based on Meta-learning -- Grasp the Key: Towards Fast and Accurate Host-based Intrusion Detection in Data Centers -- MGEL: A Robust Malware Encrypted Traffic Detection Method Based on Ensemble Learning with Multi-Grained Features -- TS-Bert: Time-series Anomaly Detection via Pre-training Model Bert -- Relation order histograms as a network embedding tool -- Desensitization Due to Overstimulation: A Second-Order Adaptive Network Model -- A modified deep Q-network algorithm applied to the evacuation problem -- Human-like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling -- Discriminative Bayesian Filtering for the Semi-Supervised Augmentation of Sequential Observation Data -- TSAX is Trending- MultiEmo: Multilingual, Multilevel, Multidomain Sentiment Analysis Corpus of Consumer Reviews -- Artificial Intelligence and High-Performance Computing for Advanced Simulations -- Outlier removal for isogeometric spectral approximation with the optimally-blended quadratures -- Socio-cognitive Evolution Strategies -- Effective solution of ill-posed inverse problems with stabilized forward solver -- Supermodeling - a meta-procedure for data assimilation and parameters estimation -- AI-accelerated CFD simulation based on OpenFOAM and CPU/GPU computing -- An application of a pseudo-parabolic modeling to texture image recognition -- A study on a feedforward neural network to solve partial differential equations in hyperbolic-transport problems -- Agent-based Modeling of Social Phenomena for High Performance Distributed Simulations -- Automated Method for Evaluating Neural Network's Attention Focus -- Machine Learning Control Design for Elastic Composite Materials -- Optimize Memory Usage in Vector Particle-In-Cell (VPIC)to Break the 10 Trillion Particle Barrier in Plasma Simulations -- Deep learning for prediction of complex geology ahead of drilling -- Biomedical and Bioinformatics Challenges for Computer Science -- Controlling costs in feature selection: information theoretic approach -- How fast vaccination can control the COVID-19 pandemic in Brazil? -- Uncertainty Quantification of Tissue Damage Due to Blood Velocity in Hyperthermia Cancer Treatments -- EEG-based Emotion Recognition – Evaluation Methodology Revisited -- Modeling the electromechanics of a single cardiac myocyte -- Towards Mimetic Membrane Systems in Molecular Dynamics: Characteristics of E. coli Membrane System -- PathMEx: Pathway-based Mutual Exclusivity for Discovering Rare Cancer Driver Mutations -- Serverless Nanopore Basecalling with AWS Lambda -- A Software Pipeline Based on Sentiment Analysis to Analyze Narrative Medicine Texts. Tipo de medio : Computadora Summary : The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. Chapter "Effective Solution of Ill-posed Inverse Problems with Stabilized Forward Solver" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]

Computational Science – ICCS 2021 / Paszynski, Maciej ; Kranzlmüller, Dieter ; Krzhizhanovskaya, Valeria V. ; Dongarra, Jack J. ; Sloot, Peter M.A  

Público ISBD Ningún comentario para este registro. Título : Computational Science – ICCS 2021 : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part III / 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, 745 p. 212 ilustraciones, 159 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-77967-2 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ciencias de la Computación  Inteligencia artificial  Ingeniería Informática  Red de computadoras  Informática  Teoría de la Computación  Ingeniería Informática y Redes  Matemáticas de la Computación Clasificación: 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. Nota de contenido: Classifier Learning from Difficult Data -- Soft Confusion Matrix Classifier for Stream Classification -- Some proposal of the high dimensional PU learning classification procedure -- Classifying Functional Data from Orthogonal Projections – model, properties and fast implementation -- Clustering and Weighted Scoring Algorithm Based on Estimating the Number of Clusters -- Exact Searching for the Smallest Deterministic Automaton -- Learning Invariance in Deep Neural Networks -- Mimicking learning for 1-NN classifiers -- Application of Multi-Objective Optimization to Feature Selection for a Difficult Data Classification Task -- Deep Embedding Features for Action Recognition on Raw Depth Maps -- Analysis of variance application in the construction of classifier ensemble based on optimal feature subset for the task of supporting glaucoma diagnosis -- Multi-objective evolutionary undersampling algorithm for imbalanced data classification -- Missing value imputation method using separate features nearest neighbors algorithm -- On Validity of Extreme Value Theory-Based Parametric Models for Out-of-Distribution Detection -- Clustering-based Ensemble Pruning in the Imbalanced Data Classification -- Improvement of random undersampling to avoid excessive removal of points from a given area of the majority class -- Predictability Classes for Forecasting Bank Clients Behavior by Transactional Data -- A Non-Intrusive Machine Learning Solution for Malware Detection and Data Theft Classification in Smartphones -- Analysis of Semestral Progress in Higher Technical Education with HMM Models -- Vicinity-based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification -- Grid-Based Concise Hash for Solar Images -- Machine learning algorithms for conversion of CVSS base score from 2.0 to 3.x -- Applicability of Machine Learning to Short-Term Prediction of Changes in the Low Voltage Electricity Distribution Network -- Computational Analysis of Complex Social Systems.-A Model for Urban Social Networks -- Three-state opinion q-voter model with bounded confidence -- The evolution of political views within the model with two binary opinions -- How to reach consensus? Better disagree with your neighbor -- Efficient calibration of a financial agent-based model using the method of simulated moments -- Computational Collective Intelligence -- A Method for Improving Word Representation Using Synonym Information -- Fast Approximate String Search for Wikification -- ASH: A New Tool for Automated and Full-Text Search in Systematic Literature Reviews -- A Voice-based Travel Recommendation System Using Linked Open Data -- Learning from Imbalanced Data Streams based on Over-Sampling and Instance Selection -- Computational Intelligence Techniques for Assessing Data Quality: Towards Knowledge-Driven Processing -- The Power of a Collective: Team of Agents Solving Instances of the Flow Shop and Job Shop Problems -- Bagging and single decision tree approaches todispersed data -- An Intelligent Social Collective with Facebook-based Communication -- Multi-Agent Spatial SIR-Based Modeling and Simulation of Infection Spread Management -- Multi-Criteria Seed Selection for Targeted In uence Maximization within Social Networks -- How Attachment to your Primary Caregiver Influences your First Adult Relationship: An Adaptive Network Model of Attachment Theory -- Computational Health -- Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy -- Towards cost-effective treatment of periprosthetic joint infection: from statistical analysis to Markov models -- Optimization of Selection of Tests in Diagnosing the Patient by General Practitioner -- Simulation of Burnout Processes by a Multi-Order Adaptive Network Model -- Reversed Correlation-Based Pairwised EEG Channel Selection in Emotional State Recognition -- Theory of Mind Helps to Predict Neurodegenerative Processes in Parkinson's Disease -- Regaining Cognitive Control: AnAdaptive Computational Model Involving Neural Correlates of Stress, Control and Intervention -- MAM: A Metaphor-based Approach for Mental Illness Detection -- Feature Engineering with Process Mining Technique for Patient State Predictions -- Comparative Evaluation of Lung Cancer CT Image Synthesis with Generative Adversarial Networks -- Deep convolutional neural networks in application to kidney segmentation in the DCE-MR images -- Comparison of Efficiency, Stability and Interpretability of Feature Selection Methods for Multiclassification Task on Medical Tabular Data -- Side effect alerts generation from EHR in Polish -- des-ist: a simulation framework to streamline event-based in silico trials -- Identifying Synergistic Interventions to Address COVID-19 Using a Large Scale Agent-Based Model -- Modeling co-circulation of influenza strains in heterogeneous urban populations: the role of herd immunity and uncertainty factors -- Two-Way Coupling Between 1D Blood Flow and 3D Tissue Perfusion Models -- Applying DCT combined cepstrum for the assessment of the arteriovenous fistula condition -- Electrocardiogram Quality Assessment with Autoencoder -- Stenosis assessment via volumetric flow rate calculation -- Fuzzy ontology for patient emergency department triage -- Ontology-based decision support system for dietary recommendations for type 2 diabetes mellitus. Tipo de medio : Computadora Summary : The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Computational Science – ICCS 2021 : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part III / [documento electrónico] / Paszynski, Maciej, ; Kranzlmüller, Dieter, ; Krzhizhanovskaya, Valeria V., ; Dongarra, Jack J., ; Sloot, Peter M.A,  . -  1 ed.  . - [s.l.] : Springer, 2021 . - XX, 745 p. 212 ilustraciones, 159 ilustraciones en color. ISBN : 978-3-030-77967-2 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ciencias de la Computación  Inteligencia artificial  Ingeniería Informática  Red de computadoras  Informática  Teoría de la Computación  Ingeniería Informática y Redes  Matemáticas de la Computación Clasificación: 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. Nota de contenido: Classifier Learning from Difficult Data -- Soft Confusion Matrix Classifier for Stream Classification -- Some proposal of the high dimensional PU learning classification procedure -- Classifying Functional Data from Orthogonal Projections – model, properties and fast implementation -- Clustering and Weighted Scoring Algorithm Based on Estimating the Number of Clusters -- Exact Searching for the Smallest Deterministic Automaton -- Learning Invariance in Deep Neural Networks -- Mimicking learning for 1-NN classifiers -- Application of Multi-Objective Optimization to Feature Selection for a Difficult Data Classification Task -- Deep Embedding Features for Action Recognition on Raw Depth Maps -- Analysis of variance application in the construction of classifier ensemble based on optimal feature subset for the task of supporting glaucoma diagnosis -- Multi-objective evolutionary undersampling algorithm for imbalanced data classification -- Missing value imputation method using separate features nearest neighbors algorithm -- On Validity of Extreme Value Theory-Based Parametric Models for Out-of-Distribution Detection -- Clustering-based Ensemble Pruning in the Imbalanced Data Classification -- Improvement of random undersampling to avoid excessive removal of points from a given area of the majority class -- Predictability Classes for Forecasting Bank Clients Behavior by Transactional Data -- A Non-Intrusive Machine Learning Solution for Malware Detection and Data Theft Classification in Smartphones -- Analysis of Semestral Progress in Higher Technical Education with HMM Models -- Vicinity-based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification -- Grid-Based Concise Hash for Solar Images -- Machine learning algorithms for conversion of CVSS base score from 2.0 to 3.x -- Applicability of Machine Learning to Short-Term Prediction of Changes in the Low Voltage Electricity Distribution Network -- Computational Analysis of Complex Social Systems.-A Model for Urban Social Networks -- Three-state opinion q-voter model with bounded confidence -- The evolution of political views within the model with two binary opinions -- How to reach consensus? Better disagree with your neighbor -- Efficient calibration of a financial agent-based model using the method of simulated moments -- Computational Collective Intelligence -- A Method for Improving Word Representation Using Synonym Information -- Fast Approximate String Search for Wikification -- ASH: A New Tool for Automated and Full-Text Search in Systematic Literature Reviews -- A Voice-based Travel Recommendation System Using Linked Open Data -- Learning from Imbalanced Data Streams based on Over-Sampling and Instance Selection -- Computational Intelligence Techniques for Assessing Data Quality: Towards Knowledge-Driven Processing -- The Power of a Collective: Team of Agents Solving Instances of the Flow Shop and Job Shop Problems -- Bagging and single decision tree approaches todispersed data -- An Intelligent Social Collective with Facebook-based Communication -- Multi-Agent Spatial SIR-Based Modeling and Simulation of Infection Spread Management -- Multi-Criteria Seed Selection for Targeted In uence Maximization within Social Networks -- How Attachment to your Primary Caregiver Influences your First Adult Relationship: An Adaptive Network Model of Attachment Theory -- Computational Health -- Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy -- Towards cost-effective treatment of periprosthetic joint infection: from statistical analysis to Markov models -- Optimization of Selection of Tests in Diagnosing the Patient by General Practitioner -- Simulation of Burnout Processes by a Multi-Order Adaptive Network Model -- Reversed Correlation-Based Pairwised EEG Channel Selection in Emotional State Recognition -- Theory of Mind Helps to Predict Neurodegenerative Processes in Parkinson's Disease -- Regaining Cognitive Control: AnAdaptive Computational Model Involving Neural Correlates of Stress, Control and Intervention -- MAM: A Metaphor-based Approach for Mental Illness Detection -- Feature Engineering with Process Mining Technique for Patient State Predictions -- Comparative Evaluation of Lung Cancer CT Image Synthesis with Generative Adversarial Networks -- Deep convolutional neural networks in application to kidney segmentation in the DCE-MR images -- Comparison of Efficiency, Stability and Interpretability of Feature Selection Methods for Multiclassification Task on Medical Tabular Data -- Side effect alerts generation from EHR in Polish -- des-ist: a simulation framework to streamline event-based in silico trials -- Identifying Synergistic Interventions to Address COVID-19 Using a Large Scale Agent-Based Model -- Modeling co-circulation of influenza strains in heterogeneous urban populations: the role of herd immunity and uncertainty factors -- Two-Way Coupling Between 1D Blood Flow and 3D Tissue Perfusion Models -- Applying DCT combined cepstrum for the assessment of the arteriovenous fistula condition -- Electrocardiogram Quality Assessment with Autoencoder -- Stenosis assessment via volumetric flow rate calculation -- Fuzzy ontology for patient emergency department triage -- Ontology-based decision support system for dietary recommendations for type 2 diabetes mellitus. Tipo de medio : Computadora Summary : The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]

Computational Science – ICCS 2021 / Paszynski, Maciej ; Kranzlmüller, Dieter ; Krzhizhanovskaya, Valeria V. ; Dongarra, Jack J. ; Sloot, Peter M.A  

Público ISBD Ningún comentario para este registro. Título : Computational Science – ICCS 2021 : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part IV / 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: XIX, 656 p. 301 ilustraciones, 211 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-77970-2 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ciencias de la Computación  Inteligencia artificial  Ingeniería Informática  Red de computadoras  Informática  Teoría de la Computación  Ingeniería Informática y Redes  Matemáticas de la Computación Clasificación: 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 "Planificación inteligente de redes logísticas para contrarrestar la propagación de la incertidumbre" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. 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 del 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 de clasificadores 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; Ciencia computacional en IoT y sistemas inteligentes Parte V: Gráficos de computadora, procesamiento de imágenes e inteligencia artificial; Ciencias computacionales basadas en datos; Aprendizaje automático y asimilación de datos para sistemas dinámicos; Métodos sin malla 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: uniendo visión computacional, redes de sensores y aprendizaje automático; Ingeniería de software para la ciencia computacional; Solución de problemas con incertidumbre; Enseñanza de la ciencia computacional; Cuantificación de la incertidumbre para modelos computacionales *La conferencia se llevó a cabo de manera virtual. El capítulo "Planificación inteligente de redes logísticas para contrarrestar la propagación de la incertidumbre" está disponible en acceso abierto bajo una licencia Creative Commons Attribution 4.0 International License a través de link.springer.com. El capítulo "Modelado y pronóstico basado en matrices pseudoinversas recurrentes" está disponible en acceso abierto bajo una licencia Creative Commons Attribution 4.0 International License a través de link.springer.com.El capítulo "Planificación inteligente de redes logísticas para contrarrestar la propagación de la incertidumbre" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. Capítulo: Modelado y pronóstico basado en matrices pseudoinversas recurrentes" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com.El capítulo "Planificación inteligente de redes logísticas para contrarrestar la propagación de la incertidumbre" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. Capítulo: Modelado y pronóstico basado en matrices pseudoinversas recurrentes" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. Nota de contenido: Computational Methods for Emerging Problems in (dis-)Information Analysis -- The Methods and Approaches of Explainable Artificial Intelligence -- Fake or real? The novel approach to detect online disinformation based on multi ML classifiers -- Transformer Based Models in Fake News Detection -- Towards Model-Agnostic Ensemble Explanations -- Computational Methods in Smart Agriculture -- Bluetooth Low Energy Livestock Positioning for Smart Farming Applications -- Monitoring the Uniformity of Fish Feeding Based on Image Feature Analysis -- A new multi-objective approach to optimize irrigation using a crop simulation model and weather history -- Computational Optimization, Modelling and Simulation -- Expedited Trust-Region-Based Design Closure of Antennas by Variable-Resolution EM Simulations -- Optimum Design of Tuned Mass Dampers for Adjacent Structures via Flower Pollination Algorithm -- On Fast Multi-Objective Optimization of Antenna Structures Using Pareto Front Triangulation and Inverse Surrogates -- Optimizations of a Generic Holographic Projection Model for GPU's -- Similarity and Conformity Graphs in Lighting Optimization and Assessment -- Pruned simulation-based optimal sailboat path search using micro HPC systems -- Two stage approach to optimize electricity contract capacity problem for commercial customers -- Improved Design Closure of Compact Microwave Circuits by Means of Performance Requirement Adaptation -- Graph-grammar based longest-edge refinement algorithm for three-dimensional optimally p refined meshes with tetrahedral elements -- Elitism in Multiobjective Hierarchical Strategy -- Modelling and forecasting based on recurrent pseudoinverse matrices -- Semi-analytical Monte Carlo optimisation method applied to the inverse Poisson problem -- Modeling the contribution of agriculture towards soil nitrogen surplus in Iowa -- An Attempt to Replace System Dynamics with Discrete Rate Modeling in Demographic Simulations -- New On-Line Algorithms for Modelling, Identification and Simulation of Dynamic Systems Using Modulating Functions and Non-Asymptotic State Estimators: Case Study for a Chosen Physical Process -- Iterative global sensitivity analysis algorithm with neural network surrogate modeling -- Forecasting Electricity Prices: Autoregressive Hybrid Nearest Neighbors (ARHNN) method -- Data-Driven Methods for Weather Forecast -- Generic Case of Leap-Frog Algorithm for Optimal Knots Selection in Fitting Reduced Data -- Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation -- Modeling traffic forecasts with probability in DWDM optical networks -- Endogenous factors affecting the cost of large-scale geo-stationary satellite systems -- Description of electricity consumption by using leading hours intra-day model -- The problem of tasks scheduling with due dates in a flexible multi-machine production cell -- Discovering the influence of interruptions in cycling training: A data science study -- Analysis of complex partial seizure using non-linear duffing Van der Pol oscillator model -- Computational Science in IoT and Smart Systems -- A Review on Visual Programming for Distributed Computation in IoT -- Data preprocessing, aggregation and clustering for agile manufacturing based on Automated Guided Vehicles -- Comparison of Speech Recognition and Natural Language Understanding Frameworks for Detection of Dangers with Smart Wearables -- A Decision Support System Based on Augmented Reality for the Safe Preparation of Chemotherapy Drugs -- Metagenomic analysis at the edge with Jetson Xavier NX -- Programming IoT-spaces: A User-Survey on Home Automation Rules -- Application of the Ant Colony algorithm for routing in next generation programmable networks -- Scalable Computing System with Two-Level Reconfiguration of Multi-Channel Inter-Node communication -- Real-time Object Detection for Smart Connected Worker in 3D printing -- Object-Oriented Internet - Cloud Interoperability -- Static and Dynamic Comparison of Pozyx and DecaWave UWB Indoor Localization Systems with Possible Improvements -- Challenges associated with sensors and data fusion for AGV-driven smart manufacturing -- Dynamic pricing and discounts by means of interactive presentation systems in stationary point of sales -- Profile-driven synthetic trajectories generation to enhance smart systems solutions -- Augmenting automatic clustering with expert knowledge and explanations -- Renewable energy-aware heuristic algorithms for edge server selection for stream data processing -- Dataset for anomalies detection in 3D printing. Tipo de medio : Computadora Summary : The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. Chapter "Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. Chapter "Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Chapter: Modelling and Forecasting Based on Recurrent Pseudoinverse Matrices" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Computational Science – ICCS 2021 : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part IV / [documento electrónico] / Paszynski, Maciej, ; Kranzlmüller, Dieter, ; Krzhizhanovskaya, Valeria V., ; Dongarra, Jack J., ; Sloot, Peter M.A,  . -  1 ed.  . - [s.l.] : Springer, 2021 . - XIX, 656 p. 301 ilustraciones, 211 ilustraciones en color. ISBN : 978-3-030-77970-2 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ciencias de la Computación  Inteligencia artificial  Ingeniería Informática  Red de computadoras  Informática  Teoría de la Computación  Ingeniería Informática y Redes  Matemáticas de la Computación Clasificación: 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 "Planificación inteligente de redes logísticas para contrarrestar la propagación de la incertidumbre" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. 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 del 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 de clasificadores 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; Ciencia computacional en IoT y sistemas inteligentes Parte V: Gráficos de computadora, procesamiento de imágenes e inteligencia artificial; Ciencias computacionales basadas en datos; Aprendizaje automático y asimilación de datos para sistemas dinámicos; Métodos sin malla 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: uniendo visión computacional, redes de sensores y aprendizaje automático; Ingeniería de software para la ciencia computacional; Solución de problemas con incertidumbre; Enseñanza de la ciencia computacional; Cuantificación de la incertidumbre para modelos computacionales *La conferencia se llevó a cabo de manera virtual. El capítulo "Planificación inteligente de redes logísticas para contrarrestar la propagación de la incertidumbre" está disponible en acceso abierto bajo una licencia Creative Commons Attribution 4.0 International License a través de link.springer.com. El capítulo "Modelado y pronóstico basado en matrices pseudoinversas recurrentes" está disponible en acceso abierto bajo una licencia Creative Commons Attribution 4.0 International License a través de link.springer.com.El capítulo "Planificación inteligente de redes logísticas para contrarrestar la propagación de la incertidumbre" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. Capítulo: Modelado y pronóstico basado en matrices pseudoinversas recurrentes" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com.El capítulo "Planificación inteligente de redes logísticas para contrarrestar la propagación de la incertidumbre" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. Capítulo: Modelado y pronóstico basado en matrices pseudoinversas recurrentes" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. Nota de contenido: Computational Methods for Emerging Problems in (dis-)Information Analysis -- The Methods and Approaches of Explainable Artificial Intelligence -- Fake or real? The novel approach to detect online disinformation based on multi ML classifiers -- Transformer Based Models in Fake News Detection -- Towards Model-Agnostic Ensemble Explanations -- Computational Methods in Smart Agriculture -- Bluetooth Low Energy Livestock Positioning for Smart Farming Applications -- Monitoring the Uniformity of Fish Feeding Based on Image Feature Analysis -- A new multi-objective approach to optimize irrigation using a crop simulation model and weather history -- Computational Optimization, Modelling and Simulation -- Expedited Trust-Region-Based Design Closure of Antennas by Variable-Resolution EM Simulations -- Optimum Design of Tuned Mass Dampers for Adjacent Structures via Flower Pollination Algorithm -- On Fast Multi-Objective Optimization of Antenna Structures Using Pareto Front Triangulation and Inverse Surrogates -- Optimizations of a Generic Holographic Projection Model for GPU's -- Similarity and Conformity Graphs in Lighting Optimization and Assessment -- Pruned simulation-based optimal sailboat path search using micro HPC systems -- Two stage approach to optimize electricity contract capacity problem for commercial customers -- Improved Design Closure of Compact Microwave Circuits by Means of Performance Requirement Adaptation -- Graph-grammar based longest-edge refinement algorithm for three-dimensional optimally p refined meshes with tetrahedral elements -- Elitism in Multiobjective Hierarchical Strategy -- Modelling and forecasting based on recurrent pseudoinverse matrices -- Semi-analytical Monte Carlo optimisation method applied to the inverse Poisson problem -- Modeling the contribution of agriculture towards soil nitrogen surplus in Iowa -- An Attempt to Replace System Dynamics with Discrete Rate Modeling in Demographic Simulations -- New On-Line Algorithms for Modelling, Identification and Simulation of Dynamic Systems Using Modulating Functions and Non-Asymptotic State Estimators: Case Study for a Chosen Physical Process -- Iterative global sensitivity analysis algorithm with neural network surrogate modeling -- Forecasting Electricity Prices: Autoregressive Hybrid Nearest Neighbors (ARHNN) method -- Data-Driven Methods for Weather Forecast -- Generic Case of Leap-Frog Algorithm for Optimal Knots Selection in Fitting Reduced Data -- Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation -- Modeling traffic forecasts with probability in DWDM optical networks -- Endogenous factors affecting the cost of large-scale geo-stationary satellite systems -- Description of electricity consumption by using leading hours intra-day model -- The problem of tasks scheduling with due dates in a flexible multi-machine production cell -- Discovering the influence of interruptions in cycling training: A data science study -- Analysis of complex partial seizure using non-linear duffing Van der Pol oscillator model -- Computational Science in IoT and Smart Systems -- A Review on Visual Programming for Distributed Computation in IoT -- Data preprocessing, aggregation and clustering for agile manufacturing based on Automated Guided Vehicles -- Comparison of Speech Recognition and Natural Language Understanding Frameworks for Detection of Dangers with Smart Wearables -- A Decision Support System Based on Augmented Reality for the Safe Preparation of Chemotherapy Drugs -- Metagenomic analysis at the edge with Jetson Xavier NX -- Programming IoT-spaces: A User-Survey on Home Automation Rules -- Application of the Ant Colony algorithm for routing in next generation programmable networks -- Scalable Computing System with Two-Level Reconfiguration of Multi-Channel Inter-Node communication -- Real-time Object Detection for Smart Connected Worker in 3D printing -- Object-Oriented Internet - Cloud Interoperability -- Static and Dynamic Comparison of Pozyx and DecaWave UWB Indoor Localization Systems with Possible Improvements -- Challenges associated with sensors and data fusion for AGV-driven smart manufacturing -- Dynamic pricing and discounts by means of interactive presentation systems in stationary point of sales -- Profile-driven synthetic trajectories generation to enhance smart systems solutions -- Augmenting automatic clustering with expert knowledge and explanations -- Renewable energy-aware heuristic algorithms for edge server selection for stream data processing -- Dataset for anomalies detection in 3D printing. Tipo de medio : Computadora Summary : The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. Chapter "Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. Chapter "Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Chapter: Modelling and Forecasting Based on Recurrent Pseudoinverse Matrices" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]

Computational Science – ICCS 2021 / Paszynski, Maciej ; Kranzlmüller, Dieter ; Krzhizhanovskaya, Valeria V. ; Dongarra, Jack J. ; Sloot, Peter M.A  

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Computational Science – ICCS 2021 / Paszynski, Maciej ; Kranzlmüller, Dieter ; Krzhizhanovskaya, Valeria V. ; Dongarra, Jack J. ; Sloot, Peter M. A.  

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