Computational Science – ICCS 2020

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20th International Conference, Amsterdam, The Netherlands, June 3-5,2020, Proceedings, Part VII, Lecture Notes in Computer Science 12143 – Theoretical Computer Science and General Issues

ISBN: 3030504352
ISBN 13: 9783030504359
Herausgeber: Valeria V Krzhizhanovskaya/Gábor Závodszky/Michael H Lees et al
Verlag: Springer Verlag GmbH
Umfang: xx, 775 S., 151 s/w Illustr., 254 farbige Illustr., 775 p. 405 illus., 254 illus. in color.
Erscheinungsdatum: 20.06.2020
Auflage: 1/2020
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 9226076 Kategorie:

Beschreibung

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 TrackPart II: ICCS Main TrackPart III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer SciencePart IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis-)Information AnalysisPart V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial IntelligencePart VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs*The conference was canceled due to the COVID-19 pandemic. Chapter APE: A Command-Line Tool and API for Automated Workflow Composition is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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E-Mail: juergen.hartmann@springer.com

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