Computational Science - ICCS 2021 [E-Book] : 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part II / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot.
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...
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Personal Name(s): | Dongarra, Jack J., editor |
Kranzlmüller, Dieter, editor / Krzhizhanovskaya, Valeria V., editor / Paszynski, Maciej, editor / Sloot, Peter M. A., editor | |
Edition: |
1st edition 2021. |
Imprint: |
Cham :
Springer,
2021
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Physical Description: |
XIX, 596 pages 34 illustrations (online resource) |
Note: |
englisch |
ISBN: |
9783030779641 |
DOI: |
10.1007/978-3-030-77964-1 |
Series Title: |
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Theoretical Computer Science and General Issues ; ;
12743 /* Depending on the record driver, $field may either be an array with "name" and "number" keys or a flat string containing only the series name. We should account for both cases to maximize compatibility. */?> Lecture Notes in Computer Science |
Subject (LOC): |
- 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.