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Computational Science – ICCS 2019

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

  • 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 11540)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11540)

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning

    1. Front Matter
      Pages 1-1
    2. Ningning Cai, Can Ma, Weiping Wang, Dan Meng
      Pages 3-14
    3. Fernando Enríquez, Luis Miguel Soria, Juan Antonio Álvarez-García, Fernando Sancho Caparrini, Francisco Velasco, Oscar Deniz et al.
      Pages 15-26
    4. Svetlana Chuprina, Igor Postanogov
      Pages 27-40
    5. Jingzi Gu, JinChao Zhang, Zheng Lin, Bo Li, Weiping Wang, Dan Meng
      Pages 41-54
    6. Pedro M. M. Guerreiro, Pedro J. S. Cardoso, Hortênsio C. L. Fernandes
      Pages 55-69
    7. Amanda Vieira, Iolanda Rosa, Ivo Santos, Tiago Paulo, Nuno Costa, Marisa Maximiano et al.
      Pages 70-83
    8. Marta Chinnici, Vincenzo Fioriti, Andrea Arbore
      Pages 84-96
    9. Javier Sevilla, Cristina Portalés, Jesús Gimeno, Jorge Sebastián
      Pages 97-109
    10. Konstantin Ryabinin, Svetlana Chuprina, Konstantin Belousov
      Pages 110-124
    11. Amir Ghahremani, Yitian Kong, Egor Bondarev, Peter H. N. de With
      Pages 125-136
    12. Oualid Araar, Saadi Bouhired, Sami Moussiou, Ali Laggoune
      Pages 137-148
    13. Saowanee Iamsiri, Nuttha Sanevas, Chakrit Watcharopas, Pakaket Wattuya
      Pages 149-163
    14. Tobias Bolten, Regina Pohle-Fröhlich, Klaus D. Tönnies
      Pages 164-176
    15. Robert Krupiński, Piotr Lech, Mateusz Tecław, Krzysztof Okarma
      Pages 177-190
    16. Lin Zhao, Liangjun Zang, Longtao Huang, Jizhong Han, Songlin Hu
      Pages 207-220
  3. Track of Solving Problems with Uncertainties

    1. Front Matter
      Pages 221-221
    2. Salvatore F. Pileggi, Fabian C. Peña, Maria Del Pilar Villamil, Ghassan Beydoun
      Pages 237-250
    3. Małgorzata J. Zimoń, Samuel Antão, Robert Sawko, Alex Skillen, Vadim Elisseev
      Pages 269-281
    4. Nataliya Kalashnykova, Viktor V. Avramenko, Viacheslav Kalashnikov
      Pages 293-302
    5. Nataliya Kalashnykova, Mariel A. Leal-Coronado, Arturo García-Martínez, Viacheslav Kalashnikov
      Pages 303-314
    6. A. K. Alekseev, A. E. Bondarev, A. E. Kuvshinnikov
      Pages 315-324
    7. Görkem Paçacı, David Johnson, Steve McKeever, Andreas Hamfelt
      Pages 334-345
    8. Raul Ramirez-Velarde, Laura Hervert-Escobar, Neil Hernandez-Gress
      Pages 346-359
  4. Track of Teaching Computational Science

    1. Front Matter
      Pages 361-361
    2. William B. Crum Jr., Aaron Angello, Xinlian Liu, Corey Campion
      Pages 389-400
    3. Miguel-Angel Sicilia, Elena García-Barriocanal, Salvador Sánchez-Alonso, Marçal Mora-Cantallops
      Pages 408-420
  5. Poster Track

    1. Front Matter
      Pages 435-435
    2. Mohamed F. El-Amin, Jisheng Kou, Shuyu Sun, Jingfa Li
      Pages 437-444
    3. Roberto Gatta, Mauro Vallati, Jacopo Lenkowicz, Carlotta Masciocchi, Francesco Cellini, Luca Boldrini et al.
      Pages 445-452
    4. Mauro Vallati, Lukáš Chrpa, Diane Kitchin
      Pages 453-460
    5. Vyacheslav Reshetnikov, Egor Golubchikov, Andrey Pyatlin, Alexey Kuzin, Vladislav Kiev, Nikolay Shabrov et al.
      Pages 461-467
    6. Masashi Yamakawa, Norihito Mizuno, Yongmann M. Chung
      Pages 468-475
    7. Ruben Laso, Francisco F. Rivera, José Carlos Cabaleiro
      Pages 483-490
    8. Santiago Franco, Mauro Vallati, Alan Lindsay, Thomas Lee McCluskey
      Pages 491-498
    9. Ektor Arzoglou, Tommi Elo, Pekka Nikander
      Pages 499-506
    10. Jiacheng Li, Wei Zhou, Jizhong Han, Songlin Hu
      Pages 507-513

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. 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part IV
  5. Computational Science – ICCS 2019
    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

  • DOI https://doi.org/10.1007/978-3-030-22750-0
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-22749-4
  • Online ISBN 978-3-030-22750-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site