| TÃtulo : |
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. |
| Palabras clave: |
Ciencias de la Computación Inteligencia artificial Informática IngenierÃa Informática Red de computadoras Visión por computador TeorÃa de la Computación Matemáticas de la Computación IngenierÃa Informática y Redes |
| Ãndice Dewey: |
40.151 |
| Resumen: |
El conjunto de seis volúmenes LNCS 12742, 12743, 12744, 12745, 12746 y 12747 constituye las actas de la 21.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2021, celebrada en Cracovia (Polonia) en junio de 2021.* El total de 260 artÃculos completos y 57 artÃculos breves presentados en este conjunto de libros se revisaron y seleccionaron cuidadosamente de 635 presentaciones. Se aceptaron 48 artÃculos completos y 14 artÃculos breves para la vÃa principal de 156 presentaciones; se aceptaron 212 artÃculos completos y 43 artÃculos breves para los talleres/vÃas temáticas de 479 presentaciones. Los artÃculos se organizaron en secciones temáticas denominadas: Parte I: VÃa 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; DesafÃos biomédicos y bioinformáticos para la informática Parte III: Aprendizaje de clasificadores a partir de datos difÃciles; 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; IngenierÃa 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 capÃtulo "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. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part 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.
| Palabras clave: |
Ciencias de la Computación Inteligencia artificial Informática IngenierÃa Informática Red de computadoras Visión por computador TeorÃa de la Computación Matemáticas de la Computación IngenierÃa Informática y Redes |
| Ãndice Dewey: |
40.151 |
| Resumen: |
El conjunto de seis volúmenes LNCS 12742, 12743, 12744, 12745, 12746 y 12747 constituye las actas de la 21.ª Conferencia Internacional sobre Ciencias Computacionales, ICCS 2021, celebrada en Cracovia (Polonia) en junio de 2021.* El total de 260 artÃculos completos y 57 artÃculos breves presentados en este conjunto de libros se revisaron y seleccionaron cuidadosamente de 635 presentaciones. Se aceptaron 48 artÃculos completos y 14 artÃculos breves para la vÃa principal de 156 presentaciones; se aceptaron 212 artÃculos completos y 43 artÃculos breves para los talleres/vÃas temáticas de 479 presentaciones. Los artÃculos se organizaron en secciones temáticas denominadas: Parte I: VÃa 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; DesafÃos biomédicos y bioinformáticos para la informática Parte III: Aprendizaje de clasificadores a partir de datos difÃciles; 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; IngenierÃa 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 capÃtulo "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. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
|  |
21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part II
