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Computational Science – ICCS 2019

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

  • 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 11538)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11538)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Track of Biomedical and Bioinformatics Challenges for Computer Science

    1. Front Matter
      Pages 1-1
    2. Victor M. Garcia-Molla, Addisson Salazar, Gonzalo Safont, Antonio M. Vidal, Luis Vergara
      Pages 3-16
    3. Leandro Lima, Said Sadique Adi
      Pages 17-30
    4. Valentina Giansanti, Mauro Castelli, Stefano Beretta, Ivan Merelli
      Pages 31-44
    5. Iliyan Mihaylov, Maria Nisheva-Pavlova, Dimitar Vassilev
      Pages 60-73
    6. Lucas Arantes Berg, Rodrigo Weber dos Santos, Elizabeth M. Cherry
      Pages 74-86
    7. Leonardo de Lima Corrêa, Márcio Dorn
      Pages 101-115
    8. Gustavo Montes Novaes, Joventino Oliveira Campos, Enrique Alvarez-Lacalle, Sergio Alonso Muñoz, Bernardo Martins Rocha, Rodrigo Weber dos Santos
      Pages 116-129
    9. Sergio López-Huguet, Fabio García-Castro, Angel Alberich-Bayarri, Ignacio Blanquer
      Pages 130-144
    10. Pablo Felipe Leonhart, Pedro Henrique Narloch, Márcio Dorn
      Pages 145-159
    11. Mónica Chillarón, Vicente Vidal, Gumersindo Verdú
      Pages 160-169
  3. Track of Classifier Learning from Difficult Data

    1. Front Matter
      Pages 171-171
    2. Bartosz Krawczyk, Michal Wozniak
      Pages 180-191
    3. Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin
      Pages 192-206
    4. Magda Friedjungová, Marcel Jiřina, Daniel Vašata
      Pages 207-220
    5. Fang Li, Chao Yan, Ziyuan Zhu, Dan Meng
      Pages 221-235
    6. Michał Choraś, Marek Pawlicki, Rafał Kozik
      Pages 263-272
  4. Track of Computational Finance and Business Intelligence

    1. Front Matter
      Pages 273-273
    2. Jia-lin Wang, Xiao-lu Li, Li Wang, Xi Zhang, Peng Zhang, Guang-yu Zhu
      Pages 275-285
    3. Zhichen Lu, Wen Long, Jiashuai Zhang, Yingjie Tian
      Pages 286-292
    4. Yong Shi, Yang Xiao, Lingfeng Niu
      Pages 293-303
    5. Tianlin Zhang, Ying Liu, Zhenyu Cui, Jiaxu Leng, Weihong Xie, Liang Zhang
      Pages 304-314
    6. Andrés Arévalo, Diego León, German Hernandez
      Pages 315-325
    7. Manisha, S. Chandra Sekhara Rao
      Pages 326-339
    8. Douglas Castilho, João Gama, Leandro R. Mundim, André C. P. L. F. de Carvalho
      Pages 340-353
  5. Track of Computational Optimization, Modelling and Simulation

    1. Front Matter
      Pages 355-355
    2. Xing-Shi He, Qin-Wei Fan, Mehmet Karamanoglu, Xin-She Yang
      Pages 357-366
    3. Eneko Osaba, Miren Nekane Bilbao, Andres Iglesias, Javier Del Ser, Akemi Galvez, Iztok Fister Jr. et al.
      Pages 367-380
    4. Akemi Gálvez, Eneko Osaba, Javier Del Ser, Andrés Iglesias
      Pages 381-394
    5. Alberto De Marchi, Matthias Gerdts
      Pages 409-420
    6. Bruno R. C. Magalhães, Thomas Sterling, Michael Hines, Felix Schürmann
      Pages 421-434
    7. Thomas Kovac, Tom Haber, Frank Van Reeth, Niel Hens
      Pages 450-456
    8. Michael Retzlaff, Todd Munson, Zichao (Wendy) Di
      Pages 457-470
    9. Carlos Minutti, Walter A. Illman, Susana Gomez
      Pages 471-486
    10. Xiaosong Du, Leifur Leifsson, Slawomir Koziel
      Pages 487-494
    11. Slawomir Koziel, Anna Pietrenko-Dabrowska, Leifur Leifsson
      Pages 508-522
    12. Victor Azizi Tarksalooyeh, Gábor Závodszky, Alfons G. Hoekstra
      Pages 537-547
    13. Eduardo González-Gorbeña, André Pacheco, Theocharis A. Plomaritis, Óscar Ferreira, Cláudia Sequeira, Theo Moura
      Pages 548-561
    14. Genaro Peque Jr., Hiro Harada, Takamasa Iryo
      Pages 562-576

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. Computational Science – ICCS 2019
    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. 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/10.1007/978-3-030-22744-9
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-22743-2
  • Online ISBN 978-3-030-22744-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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