| Título : |
20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part II |
| Tipo de documento: |
documento electrónico |
| Autores: |
Krzhizhanovskaya, Valeria V., ; Závodszky, Gábor, ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M. A., ; Brissos, Sérgio, ; Teixeira, João, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2020 |
| Número de páginas: |
XIX, 697 p. 382 ilustraciones, 216 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-50417-5 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Ciencias de la Computación Ingeniería Informática Red de computadoras Inteligencia artificial Informática Gestión de base de datos Teoría de la Computación Ingeniería Informática y Redes Matemáticas de la Computación Sistema de administración de base de datos |
| Índice Dewey: |
40.151 |
| Resumen: |
El conjunto de siete volúmenes LNCS 12137, 12138, 12139, 12140, 12141, 12142 y 12143 constituye las actas de la 20.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2020, celebrada en Ámsterdam, Países Bajos, en junio de 2020.* El total de 101 artículos y 248 artículos de talleres presentados en este conjunto de libros fueron cuidadosamente revisados y seleccionados entre 719 presentaciones (230 presentaciones para la vía principal y 489 presentaciones para los talleres). Los artículos se organizaron en secciones temáticas denominadas: Parte I: Vía principal de ICCS Parte II: Vía principal de ICCS Parte III: Avances en ciencias computacionales de la Tierra de alto rendimiento: aplicaciones y marcos; Simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Aplicaciones de Métodos Computacionales en Inteligencia Artificial y Aprendizaje Automático; Desafíos biomédicos y bioinformáticos para la informática Parte IV: Aprendizaje del clasificador a partir de datos difíciles; Sistemas sociales complejos a través de la lente de la ciencia computacional; Salud Computacional; Métodos computacionales para problemas emergentes en el análisis de (des) información Parte V: Optimización, modelado y simulación computacional; Ciencias Computacionales en IoT y Sistemas Inteligentes; Gráficos por computadora, procesamiento de imágenes e inteligencia artificial Parte VI: Ciencias computacionales basadas en datos; Aprendizaje Automático y Asimilación de Datos para Sistemas Dinámicos; Métodos sin malla en ciencias computacionales; Modelado y Simulación Multiescala; Taller de Computación Cuántica Parte VII: Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Sistemas inteligentes: unión de visión por computadora, redes de sensores y aprendizaje automático; Ingeniería de Software para Ciencias Computacionales; Resolver Problemas con Incertidumbres; Enseñanza de Ciencias Computacionales; CUANTIFICACIÓN DE LA INCERTIDUMBRE PARA MODELOS COMPUTACIONALES *La conferencia fue cancelada debido a la pandemia de COVID-19. |
| Nota de contenido: |
ICCS Main Track -- Modified binary tree in the fast PIES for 2D problems with complex shapes -- Generating Random Floating-Point Numbers by Dividing Integers: a Case Study -- An effective stable numerical method for integrating highly oscillating functions with a linear phase -- Fitting Penalized Logistic Regression Models using QR Factorization -- Uncertainty Quantification in Fractional Stochastic Integro-Differential Equations using Legendre Wavelet Collocation Method -- A Direct High-order Curvilinear Triangular Mesh Generation Method Using an Advancing Front Technique -- Data-driven partial differential equations discovery approach for the noised multi-dimensional data -- Preconditioning Jacobian Systems by Superimposing Diagonal Blocks -- NURBS curves in parametric integral equations system for modeling and solving boundary value problems in elasticity -- Parameterizations and Lagrange Cubics for Fitting Multidimensional Data -- Loop Aggregation for Approximate Scientific Computing.-Numerical Computation for a Flow Caused by a High-speed Traveling Train and a Stationary Overpass -- Bezier surfaces for modeling inclusions in PIES -- Impact of water on methane adsorption in nanopores: A hybrid GCMC-MD simulation study -- A stable discontinuous Galerkin based isogeometric residual minimization for the Stokes problem -- Numerical Modeling of the Two-Phase Flow of Water with Ice in the Tom River -- Remarks on Kaczmarz algorithm for solving consistent and inconsistent system of linear equations -- Investigating the Benefit of FP16-enabled Mixed-precision Solvers for Symmetric Positive Definite Matrices using GPUs -- Simulation versus ordered fuzzy numbers driven approach to multi depot vehicle cyclic routing and scheduling problem -- Epigenetic modification of genetic algorithm -- ITP-KNN: Encrypted Video Flow Identification Based on the Intermittent Traffic Pattern of Video and K-Nearest Neighbors Classification -- DeepAD-a Joint Embedding Approach for Anomaly Detection on Attributed Networks -- SciNER: Extracting Named Entities From Scientific Literature -- GPU-embedding of kNN-graph representing large and high-dimensional data -- Evolving Long Short-Term Memory Networks -- Personality Recognition from Source Code Based on Lexical, Syntactic and Semantic Features -- Data fitting by exponential sums with equal weights -- A Combination of Moment Descriptors, Fourier Transform and Matching Measures for Action Recognition Based on Shape -- Improving accuracy and speeding up Document Image Classification through parallel systems -- Computation of the airborne contaminant transport in urban area by the artificial neural network -- Exploring Musical Structure using Tonnetz Lattice Geometry and LSTMs -- Modeling of Anti-tracking Network based on Convex-polytope Topology -- A Workload Division Differential Privacy Algorithm to Improve the Accuracy for Linear Computations -- On the Automated Assessment of Open-Source Cyber Threat Intelligence Sources -- Malicious Domain DetectionBased on K-means and SMOTE -- Microservice Disaster Crash Recovery: A Weak Global Referential Integrity Management -- Hashing Based Prediction for Large-Scale Kernel Machine -- Picking Peaches or Squeezing Lemons: Selecting Crowdsourcing Workers for Reducing Cost of Redundancy -- Are n-gram Categories Helpful in Text Classification? -- Calculating Reactive Power Compensation for Large-scale Street Lighting -- Developing a Decision Support App for Computational Agriculture -- Optimal Location of Sensors for Early Detection of Tsunami Waves -- A Novel Formulation for Inverse Distance Weighting from Weighted Linear Regression -- Addressing the Robustness of Resource Allocation in the Presence of Application and System Irregularities via PEPA Based Modeling -- An Adaptive Computational Network Model for Strange Loops in Political Evolution in Society -- Joint Entity Linking for Web Tables with Hybrid Semantic Matching -- A new coefficient of rankings similarity in decision-making problems -- Innovativeness Analysis of Scholarly Publications by Age Prediction using Ordinal Regression -- Advantage of Using Spherical over Cartesian Coordinates in the Chromosome Territories 3D Modeling -- Adaptive and Efficient Transfer for Online Remote Visualization of Critical Weather Applications. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part II [documento electrónico] / Krzhizhanovskaya, Valeria V., ; Závodszky, Gábor, ; Lees, Michael H., ; Dongarra, Jack J., ; Sloot, Peter M. A., ; Brissos, Sérgio, ; Teixeira, João, . - 1 ed. . - [s.l.] : Springer, 2020 . - XIX, 697 p. 382 ilustraciones, 216 ilustraciones en color. ISBN : 978-3-030-50417-5 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Ciencias de la Computación Ingeniería Informática Red de computadoras Inteligencia artificial Informática Gestión de base de datos Teoría de la Computación Ingeniería Informática y Redes Matemáticas de la Computación Sistema de administración de base de datos |
| Índice Dewey: |
40.151 |
| Resumen: |
El conjunto de siete volúmenes LNCS 12137, 12138, 12139, 12140, 12141, 12142 y 12143 constituye las actas de la 20.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2020, celebrada en Ámsterdam, Países Bajos, en junio de 2020.* El total de 101 artículos y 248 artículos de talleres presentados en este conjunto de libros fueron cuidadosamente revisados y seleccionados entre 719 presentaciones (230 presentaciones para la vía principal y 489 presentaciones para los talleres). Los artículos se organizaron en secciones temáticas denominadas: Parte I: Vía principal de ICCS Parte II: Vía principal de ICCS Parte III: Avances en ciencias computacionales de la Tierra de alto rendimiento: aplicaciones y marcos; Simulaciones basadas en agentes, algoritmos adaptativos y solucionadores; Aplicaciones de Métodos Computacionales en Inteligencia Artificial y Aprendizaje Automático; Desafíos biomédicos y bioinformáticos para la informática Parte IV: Aprendizaje del clasificador a partir de datos difíciles; Sistemas sociales complejos a través de la lente de la ciencia computacional; Salud Computacional; Métodos computacionales para problemas emergentes en el análisis de (des) información Parte V: Optimización, modelado y simulación computacional; Ciencias Computacionales en IoT y Sistemas Inteligentes; Gráficos por computadora, procesamiento de imágenes e inteligencia artificial Parte VI: Ciencias computacionales basadas en datos; Aprendizaje Automático y Asimilación de Datos para Sistemas Dinámicos; Métodos sin malla en ciencias computacionales; Modelado y Simulación Multiescala; Taller de Computación Cuántica Parte VII: Simulaciones de Flujo y Transporte: Modelado, Algoritmos y Computación; Sistemas inteligentes: unión de visión por computadora, redes de sensores y aprendizaje automático; Ingeniería de Software para Ciencias Computacionales; Resolver Problemas con Incertidumbres; Enseñanza de Ciencias Computacionales; CUANTIFICACIÓN DE LA INCERTIDUMBRE PARA MODELOS COMPUTACIONALES *La conferencia fue cancelada debido a la pandemia de COVID-19. |
| Nota de contenido: |
ICCS Main Track -- Modified binary tree in the fast PIES for 2D problems with complex shapes -- Generating Random Floating-Point Numbers by Dividing Integers: a Case Study -- An effective stable numerical method for integrating highly oscillating functions with a linear phase -- Fitting Penalized Logistic Regression Models using QR Factorization -- Uncertainty Quantification in Fractional Stochastic Integro-Differential Equations using Legendre Wavelet Collocation Method -- A Direct High-order Curvilinear Triangular Mesh Generation Method Using an Advancing Front Technique -- Data-driven partial differential equations discovery approach for the noised multi-dimensional data -- Preconditioning Jacobian Systems by Superimposing Diagonal Blocks -- NURBS curves in parametric integral equations system for modeling and solving boundary value problems in elasticity -- Parameterizations and Lagrange Cubics for Fitting Multidimensional Data -- Loop Aggregation for Approximate Scientific Computing.-Numerical Computation for a Flow Caused by a High-speed Traveling Train and a Stationary Overpass -- Bezier surfaces for modeling inclusions in PIES -- Impact of water on methane adsorption in nanopores: A hybrid GCMC-MD simulation study -- A stable discontinuous Galerkin based isogeometric residual minimization for the Stokes problem -- Numerical Modeling of the Two-Phase Flow of Water with Ice in the Tom River -- Remarks on Kaczmarz algorithm for solving consistent and inconsistent system of linear equations -- Investigating the Benefit of FP16-enabled Mixed-precision Solvers for Symmetric Positive Definite Matrices using GPUs -- Simulation versus ordered fuzzy numbers driven approach to multi depot vehicle cyclic routing and scheduling problem -- Epigenetic modification of genetic algorithm -- ITP-KNN: Encrypted Video Flow Identification Based on the Intermittent Traffic Pattern of Video and K-Nearest Neighbors Classification -- DeepAD-a Joint Embedding Approach for Anomaly Detection on Attributed Networks -- SciNER: Extracting Named Entities From Scientific Literature -- GPU-embedding of kNN-graph representing large and high-dimensional data -- Evolving Long Short-Term Memory Networks -- Personality Recognition from Source Code Based on Lexical, Syntactic and Semantic Features -- Data fitting by exponential sums with equal weights -- A Combination of Moment Descriptors, Fourier Transform and Matching Measures for Action Recognition Based on Shape -- Improving accuracy and speeding up Document Image Classification through parallel systems -- Computation of the airborne contaminant transport in urban area by the artificial neural network -- Exploring Musical Structure using Tonnetz Lattice Geometry and LSTMs -- Modeling of Anti-tracking Network based on Convex-polytope Topology -- A Workload Division Differential Privacy Algorithm to Improve the Accuracy for Linear Computations -- On the Automated Assessment of Open-Source Cyber Threat Intelligence Sources -- Malicious Domain DetectionBased on K-means and SMOTE -- Microservice Disaster Crash Recovery: A Weak Global Referential Integrity Management -- Hashing Based Prediction for Large-Scale Kernel Machine -- Picking Peaches or Squeezing Lemons: Selecting Crowdsourcing Workers for Reducing Cost of Redundancy -- Are n-gram Categories Helpful in Text Classification? -- Calculating Reactive Power Compensation for Large-scale Street Lighting -- Developing a Decision Support App for Computational Agriculture -- Optimal Location of Sensors for Early Detection of Tsunami Waves -- A Novel Formulation for Inverse Distance Weighting from Weighted Linear Regression -- Addressing the Robustness of Resource Allocation in the Presence of Application and System Irregularities via PEPA Based Modeling -- An Adaptive Computational Network Model for Strange Loops in Political Evolution in Society -- Joint Entity Linking for Web Tables with Hybrid Semantic Matching -- A new coefficient of rankings similarity in decision-making problems -- Innovativeness Analysis of Scholarly Publications by Age Prediction using Ordinal Regression -- Advantage of Using Spherical over Cartesian Coordinates in the Chromosome Territories 3D Modeling -- Adaptive and Efficient Transfer for Online Remote Visualization of Critical Weather Applications. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
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