| Título : |
19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part IV |
| Tipo de documento: |
documento electrónico |
| Autores: |
Rodrigues, João M. F., ; Cardoso, Pedro J. S., ; Monteiro, Jânio, ; Lam, Roberto, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M.A, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2019 |
| Número de páginas: |
XIX, 663 p. 407 ilustraciones, 266 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-22747-0 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Ciencias de la Computación Inteligencia artificial Ingeniería Informática Red de computadoras diseño lógico Visión por computador Informática Teoría de la Computación Ingeniería Informática y Redes Matemáticas de la Computación |
| Índice Dewey: |
40.151 |
| Resumen: |
El conjunto de cinco volúmenes LNCS 11536, 11537, 11538, 11539 y 11540 constituye las actas de la 19.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2019, celebrada en Faro, Portugal, en junio de 2019. El total de 65 artículos completos y 168 artículos de taller presentados en este conjunto de libros fueron cuidadosamente revisados y seleccionados entre 573 presentaciones (228 presentaciones para la vía principal y 345 presentaciones para los talleres). Los artículos se organizaron en secciones temáticas denominadas: Parte I: Vía principal de ICCS Parte II: Vía principal de ICCS; Seguimiento de avances en ciencias computacionales de la tierra de alto rendimiento: aplicaciones y marcos; Seguimiento de simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Seguimiento de Aplicaciones de Métodos Matriciales en Inteligencia Artificial y Aprendizaje Automático; Pista de Arquitectura, Lenguajes, Compilación y Soporte de Hardware para Sistemas Emergentes y Heterogéneos Parte III: Pista de Desafíos Biomédicos y Bioinformáticos para la Informática; Seguimiento del aprendizaje del clasificador a partir de datos difíciles; Track de Finanzas Computacionales e Inteligencia de Negocios; Pista de Optimización Computacional, Modelado y Simulación; Pista de Ciencias Computacionales en IoT y Sistemas Inteligentes Parte IV: Pista de Ciencias Computacionales Basadas en Datos; Seguimiento de Machine Learning y Asimilación de Datos para Sistemas Dinámicos; Seguimiento de la Computación Marina en el Mundo Interconectado en Beneficio de la Sociedad; Track de Modelado y Simulación Multiescala; Pista de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación Parte V: Pista de Sistemas Inteligentes: Visión por Computador, Redes de Sensores y Aprendizaje Automático; Seguimiento de resolución de problemas con incertidumbres; Pista de Enseñanza de Ciencias Computacionales; El capítulo de Poster Track ICCS 2019 "Comparación de métodos de descomposición de dominios para la paralelización de modelos distribuidos de superficie terrestre" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. |
| Nota de contenido: |
Track of Data-Driven Computational Sciences -- Nonparametric Approach to Weak Signal Detection in the Search for Extraterrestrial Intelligence (SETI) -- Parallel Strongly Connected Components Detection with Multi-partition on GPUs -- Efficient Parallel Associative Classification based on Rules Memoization -- Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data -- An Implementation of Coupled Dual-Porosity-Stokes Model with FEniCS -- Anomaly Detection in Social Media using Recurrent Neural Network -- Conditional BERT Contextual Augmentation -- An innovative and reliable water leak detection service supported by data-intensive remote sensing processing -- Track of Machine Learning and Data Assimilation for Dynamical Systems -- Scalable Weak Constraint Gaussian Processes -- A Learning-Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models -- Kernel embedded nonlinear observational mappings in the variational mapping particle filter -- Data assimilation in a nonlinear time-delayed dynamical system with Lagrangian optimization -- Machine learning to approximate solutions of ordinary differential equations: Neural networks vs. linear regressors -- Kernel Methods for Discrete-Time Linear Equations -- Physics-Informed Echo State Networks for Chaotic Systems Forecasting -- Tuning Covariance Localization using Machine Learning -- Track of Marine Computing in the Interconnected World for the Benefit of the Society -- Marine and Atmospheric Forecast Computational System for Nautical Sports in Guanabara Bay (Brazil) -- An integrated perspective of the Operational Forecasting System in Rias Baixas (Galicia, Spain) with observational data and end-users -- Climate evaluation of a high-resolution regional model over the Canary current upwelling system -- Validating Ocean General Circulation Models via Lagrangian particle simulation and data from drifting buoys -- Implementation of a 3-dimentional hydrodynamic model to a fish aquaculture area in Sines, Portugal - A down-scaling approach -- Numerical characterization of the Douro River plume -- The Impact of Sea Level Rise in the Guadiana Estuary -- Estuarine light attenuation modelling towards improved management of coastal fisheries -- The NARVAL software toolbox in support of ocean model skill assessment at regional and coastal scales -- Salinity control on Saigon river downstream of Dautieng reservoir within multi-objective simulation-optimisation framework for reservoir operation -- Clustering hydrographic conditions in Galician estuaries -- Early Warning Systems for Shellfish Safety - The Pivotal Role of Computational Science -- Track of Multiscale Modelling and Simulation -- Creating a reusable cross-disciplinary multi-scale and multi-physics framework: from AMUSE to OMUSE and beyond -- A Semi-Lagrangian Multiscale Framework for Advection-Dominant Problems -- A Multiscale Model of Atherosclerotic Plaque Development: toward a Coupling between an Agent-Based Model and CFDSimulations -- Special Aspects of Hybrid Kinetic-Hydrodynamic Model When Describing the Shape of Shockwaves -- Computational Analysis of Pulsed Radiofrequency Ablation in Treating Chronic Pain -- MaMiCo: Parallel Noise Reduction for Multi-Instance Molecular-Continuum Flow Simulation -- Projection-Based Model Reduction Using Asymptotic Basis Functions -- Introducing VECMAtk - verification, validation and uncertainty quantification for multiscale and HPC simulations -- Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation -- deal.II Implementation of a Weak Galerkin Finite Element Solver for Darcy Flow -- Recovery of the Interface Velocity for the Incompressible Flow in Enhanced Velocity Mixed Finite Element Method -- A New Approach to Solve the Stokes-Darcy-Transport System Applying Stabilized Finite Element Methods -- Energy Stable Simulation of Two-Phase Equilibria with Capillarity -- Effects of Numerical Integration on DLM/FD Method for Solving Interface Problems with Body-Unfitted Meshes -- Application of a Double Potential Method to Simulate Incompressible Viscous Flows -- A bubble formation in the two-phase system -- Performance of a Two-Path Aliasing Free Calculation of a Spectral DNS Code -- DNS of mass transfer from bubbles rising in a vertical channel -- A Hybrid Vortex Method for the simulation of 3D incompressible flows -- Accelerated Phase Equilibrium Predictions for Subsurface Reservoirs Using Deep Learning Methods -- Study on the thermal-hydraulic coupling model for the enhanced geothermal systems -- Modelling of thermal transport in wire + arc additive manufacturing process. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part IV [documento electrónico] / Rodrigues, João M. F., ; Cardoso, Pedro J. S., ; Monteiro, Jânio, ; Lam, Roberto, ; Krzhizhanovskaya, Valeria V., ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M.A, . - 1 ed. . - [s.l.] : Springer, 2019 . - XIX, 663 p. 407 ilustraciones, 266 ilustraciones en color. ISBN : 978-3-030-22747-0 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Ciencias de la Computación Inteligencia artificial Ingeniería Informática Red de computadoras diseño lógico Visión por computador Informática Teoría de la Computación Ingeniería Informática y Redes Matemáticas de la Computación |
| Índice Dewey: |
40.151 |
| Resumen: |
El conjunto de cinco volúmenes LNCS 11536, 11537, 11538, 11539 y 11540 constituye las actas de la 19.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2019, celebrada en Faro, Portugal, en junio de 2019. El total de 65 artículos completos y 168 artículos de taller presentados en este conjunto de libros fueron cuidadosamente revisados y seleccionados entre 573 presentaciones (228 presentaciones para la vía principal y 345 presentaciones para los talleres). Los artículos se organizaron en secciones temáticas denominadas: Parte I: Vía principal de ICCS Parte II: Vía principal de ICCS; Seguimiento de avances en ciencias computacionales de la tierra de alto rendimiento: aplicaciones y marcos; Seguimiento de simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Seguimiento de Aplicaciones de Métodos Matriciales en Inteligencia Artificial y Aprendizaje Automático; Pista de Arquitectura, Lenguajes, Compilación y Soporte de Hardware para Sistemas Emergentes y Heterogéneos Parte III: Pista de Desafíos Biomédicos y Bioinformáticos para la Informática; Seguimiento del aprendizaje del clasificador a partir de datos difíciles; Track de Finanzas Computacionales e Inteligencia de Negocios; Pista de Optimización Computacional, Modelado y Simulación; Pista de Ciencias Computacionales en IoT y Sistemas Inteligentes Parte IV: Pista de Ciencias Computacionales Basadas en Datos; Seguimiento de Machine Learning y Asimilación de Datos para Sistemas Dinámicos; Seguimiento de la Computación Marina en el Mundo Interconectado en Beneficio de la Sociedad; Track de Modelado y Simulación Multiescala; Pista de Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación Parte V: Pista de Sistemas Inteligentes: Visión por Computador, Redes de Sensores y Aprendizaje Automático; Seguimiento de resolución de problemas con incertidumbres; Pista de Enseñanza de Ciencias Computacionales; El capítulo de Poster Track ICCS 2019 "Comparación de métodos de descomposición de dominios para la paralelización de modelos distribuidos de superficie terrestre" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. |
| Nota de contenido: |
Track of Data-Driven Computational Sciences -- Nonparametric Approach to Weak Signal Detection in the Search for Extraterrestrial Intelligence (SETI) -- Parallel Strongly Connected Components Detection with Multi-partition on GPUs -- Efficient Parallel Associative Classification based on Rules Memoization -- Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data -- An Implementation of Coupled Dual-Porosity-Stokes Model with FEniCS -- Anomaly Detection in Social Media using Recurrent Neural Network -- Conditional BERT Contextual Augmentation -- An innovative and reliable water leak detection service supported by data-intensive remote sensing processing -- Track of Machine Learning and Data Assimilation for Dynamical Systems -- Scalable Weak Constraint Gaussian Processes -- A Learning-Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models -- Kernel embedded nonlinear observational mappings in the variational mapping particle filter -- Data assimilation in a nonlinear time-delayed dynamical system with Lagrangian optimization -- Machine learning to approximate solutions of ordinary differential equations: Neural networks vs. linear regressors -- Kernel Methods for Discrete-Time Linear Equations -- Physics-Informed Echo State Networks for Chaotic Systems Forecasting -- Tuning Covariance Localization using Machine Learning -- Track of Marine Computing in the Interconnected World for the Benefit of the Society -- Marine and Atmospheric Forecast Computational System for Nautical Sports in Guanabara Bay (Brazil) -- An integrated perspective of the Operational Forecasting System in Rias Baixas (Galicia, Spain) with observational data and end-users -- Climate evaluation of a high-resolution regional model over the Canary current upwelling system -- Validating Ocean General Circulation Models via Lagrangian particle simulation and data from drifting buoys -- Implementation of a 3-dimentional hydrodynamic model to a fish aquaculture area in Sines, Portugal - A down-scaling approach -- Numerical characterization of the Douro River plume -- The Impact of Sea Level Rise in the Guadiana Estuary -- Estuarine light attenuation modelling towards improved management of coastal fisheries -- The NARVAL software toolbox in support of ocean model skill assessment at regional and coastal scales -- Salinity control on Saigon river downstream of Dautieng reservoir within multi-objective simulation-optimisation framework for reservoir operation -- Clustering hydrographic conditions in Galician estuaries -- Early Warning Systems for Shellfish Safety - The Pivotal Role of Computational Science -- Track of Multiscale Modelling and Simulation -- Creating a reusable cross-disciplinary multi-scale and multi-physics framework: from AMUSE to OMUSE and beyond -- A Semi-Lagrangian Multiscale Framework for Advection-Dominant Problems -- A Multiscale Model of Atherosclerotic Plaque Development: toward a Coupling between an Agent-Based Model and CFDSimulations -- Special Aspects of Hybrid Kinetic-Hydrodynamic Model When Describing the Shape of Shockwaves -- Computational Analysis of Pulsed Radiofrequency Ablation in Treating Chronic Pain -- MaMiCo: Parallel Noise Reduction for Multi-Instance Molecular-Continuum Flow Simulation -- Projection-Based Model Reduction Using Asymptotic Basis Functions -- Introducing VECMAtk - verification, validation and uncertainty quantification for multiscale and HPC simulations -- Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation -- deal.II Implementation of a Weak Galerkin Finite Element Solver for Darcy Flow -- Recovery of the Interface Velocity for the Incompressible Flow in Enhanced Velocity Mixed Finite Element Method -- A New Approach to Solve the Stokes-Darcy-Transport System Applying Stabilized Finite Element Methods -- Energy Stable Simulation of Two-Phase Equilibria with Capillarity -- Effects of Numerical Integration on DLM/FD Method for Solving Interface Problems with Body-Unfitted Meshes -- Application of a Double Potential Method to Simulate Incompressible Viscous Flows -- A bubble formation in the two-phase system -- Performance of a Two-Path Aliasing Free Calculation of a Spectral DNS Code -- DNS of mass transfer from bubbles rising in a vertical channel -- A Hybrid Vortex Method for the simulation of 3D incompressible flows -- Accelerated Phase Equilibrium Predictions for Subsurface Reservoirs Using Deep Learning Methods -- Study on the thermal-hydraulic coupling model for the enhanced geothermal systems -- Modelling of thermal transport in wire + arc additive manufacturing process. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
|  |
19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part IV
