Computational science -- ICCS 2020 : 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings. Part V / Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael H. Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira (eds.).
International Conference on Computational Science (20th : 2020 : Amsterdam, Netherlands); Krzhizhanovskaya, Valeria V.; Závodszky, Gábor.; Lees, Michael H.; Dongarra, J. J.; Sloot, Peter, 1956-; Brissos, Sérgio.; Teixeira, João.
2020
QA75.5 .I23 2020eb
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Title Computational science -- ICCS 2020 : 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings. Part V / Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael H. Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira (eds.).
Meeting Name International Conference on Computational Science (20th : 2020 : Amsterdam, Netherlands)
ISBN 9783030504267 (electronic book)
3030504263 (electronic book)
9783030504250
Published Cham : Springer, 2020.
Language English
Description 1 online resource (xix, 618 pages) : illustrations.
Item Number 10.1007/978-3-030-50
Call Number QA75.5 .I23 2020eb
Dewey Decimal Classification 004.0151
Summary The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Computational Methods in Artificial Intelligence and Machine Learning; Track of Biomedical and Bioinformatics Challenges for Computer Science Part IV: Track of Classifier Learning from Difficult Data; Track of Complex Social Systems through the Lens of Computational Science; Track of Computational Health; Track of Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems; Track of Computer Graphics, Image Processing and Artificial Intelligence Part VI: Track of Data Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Meshfree Methods in Computational Sciences; Track of Multiscale Modelling and Simulation; Track of Quantum Computing Workshop Part VII: Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation; Track of Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Track of Software Engineering for Computational Science; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Track of UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic.
Note International conference proceedings.
Includes author index.
Access Note Access limited to authorized users.
Added Author Krzhizhanovskaya, Valeria V.
Závodszky, Gábor.
Lees, Michael H.
Dongarra, J. J.
Sloot, Peter, 1956-
Brissos, Sérgio.
Teixeira, João.
Series Lecture notes in computer science ; 12141.
LNCS sublibrary. SL 1, Theoretical computer science and general issues.
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Optimization
Swarm Intelligence Approach for Rational Global Approximation of Characteristic Curves for the Van Der Waals Equation of State rescuers
Fuzzy Intelligence in Monitoring Older Adults with Wearables
Deep Analytics for Management and Cybersecurity of the National Energy Grid
Regression methods for detecting anomalies in flue gas desulphurization installations in coal-fired power plants based on sensor data
Autonomous Guided Vehicles for Smart Industries the state of the art and research challenges
IoT-based cow health monitoring system
Visual Self-Healing Modelling for Reliable Internet-of-Things Systems
Comparative Analysis of Time Series Databases in the Context of Edge Computing for Low Power Sensor Networks
Conversational Interface for Managing Non-Trivial Internet-of-Things Systems
Improving Coverage Area in Sensor Deployment using Genetic Algorithm
Object-Oriented Internet Reactive Interoperability
Impact of long-range dependent traffic in IoT local wireless networks on backhaul link performance
Track of Computer Graphics, Image Processing and Artificial Intelligence
OpenGraphGym: A Parallel Reinforcement Learning Framework for Graph Optimization Problems
Weighted Clustering for Bees Detection on Video Images
Improved Two-Step Binarization of Degraded Document Images Based on Gaussian Mixture Model
Cast Shadow Generation using Generative Adversarial Networks
Medical Image Enhancement using Super Resolution Methods
Plane Space Representation in Context of Mode-based Symmetry Plane Detection
Impression Curve as a New Tool in the study of Visual Diversity of Computer Game Levels for Individual Phases of the Design Process
Visual analysis of computer game output video stream for gameplay metrics
Depth map estimation with consistent normals from stereo images
Parametric Learning of Associative Functional Networks Through a Modified Memetic Self-Adaptive Firefly Algorithm
Dual formulation of the TV-Stokes denoising model for multidimensional vectorial images
Minimizing material consumption of 3D printing with stress-guided.

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