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© 2019

Computational Science – ICCS 2019

19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part IV

  • João M. F. Rodrigues
  • Pedro J. S. Cardoso
  • Jânio Monteiro
  • Roberto Lam
  • Valeria V. Krzhizhanovskaya
  • Michael H. Lees
  • Jack J. Dongarra
  • Peter M.A. Sloot
Conference proceedings ICCS 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11539)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11539)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Track of Data-Driven Computational Sciences

    1. Front Matter
      Pages 1-1
    2. Junteng Hou, Shupeng Wang, Guangjun Wu, Ge Fu, Siyu Jia, Yong Wang et al.
      Pages 16-30
    3. Michel Pires, Nicollas Silva, Leonardo Rocha, Wagner Meira, Renato Ferreira
      Pages 31-44
    4. Sreelekha Guggilam, Syed Mohammed Arshad Zaidi, Varun Chandola, Abani K. Patra
      Pages 45-59
    5. Xing Wu, Shangwen Lv, Liangjun Zang, Jizhong Han, Songlin Hu
      Pages 84-95
    6. Ricardo Martins, Alberto Azevedo, André B. Fortunato, Elsa Alves, Anabela Oliveira, Alexandra Carvalho
      Pages 96-108
  3. Track of Machine Learning and Data Assimilation for Dynamical Systems

    1. Front Matter
      Pages 109-109
    2. Rossella Arcucci, Douglas McIlwraith, Yi-Ke Guo
      Pages 111-125
    3. Manuel Pulido, Peter Jan vanLeeuwen, Derek J. Posselt
      Pages 141-155
    4. Boumediene Hamzi, Fritz Colonius
      Pages 178-191
    5. Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
      Pages 192-198
    6. Azam Moosavi, Ahmed Attia, Adrian Sandu
      Pages 199-212
  4. Track of Marine Computing in the Interconnected World for the Benefit of the Society

    1. Front Matter
      Pages 213-213

Other volumes

  1. 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part I
  2. 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part II
  3. 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part III
  4. Computational Science – ICCS 2019
    19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part IV
  5. 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part V

About these proceedings

Introduction

The five-volume set LNCS 11536, 11537, 11538, 11539 and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019.

The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named:

Part I: ICCS Main Track

Part II: ICCS Main Track; 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 Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems

Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems

Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation

Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019

Chapter “Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Keywords

artificial intelligence complex systems computational methods computational science computer networks data security genetic algorithms image processing learning algorithms neural networks numerical methods parallel processing systems parallel programming processors semantics support vector machines svm telecommunication networks telecommunication traffic World Wide Web

Editors and affiliations

  1. 1.University of AlgarveFaroPortugal
  2. 2.University of AlgarveFaroPortugal
  3. 3.University of AlgarveFaroPortugal
  4. 4.University of AlgarveFaroPortugal
  5. 5.University of AmsterdamAmsterdamThe Netherlands
  6. 6.University of AmsterdamAmsterdamThe Netherlands
  7. 7.University of Tennessee at KnoxvilleKnoxvilleUSA
  8. 8.University of AmsterdamAmsterdamThe Netherlands

Bibliographic information