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  • © 2019

Computational Science – ICCS 2019

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

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

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Conference series link(s): ICCS: International Conference on Computational Science

Conference proceedings info: ICCS 2019.

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Table of contents (49 papers)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
    2. Parallel Strongly Connected Components Detection with Multi-partition on GPUs

      • Junteng Hou, Shupeng Wang, Guangjun Wu, Ge Fu, Siyu Jia, Yong Wang et al.
      Pages 16-30
    3. Efficient Parallel Associative Classification Based on Rules Memoization

      • Michel Pires, Nicollas Silva, Leonardo Rocha, Wagner Meira, Renato Ferreira
      Pages 31-44
    4. Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data

      • Sreelekha Guggilam, Syed Mohammed Arshad Zaidi, Varun Chandola, Abani K. Patra
      Pages 45-59
    5. Conditional BERT Contextual Augmentation

      • Xing Wu, Shangwen Lv, Liangjun Zang, Jizhong Han, Songlin Hu
      Pages 84-95
    6. An Innovative and Reliable Water Leak Detection Service Supported by Data-Intensive Remote Sensing Processing

      • 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. Scalable Weak Constraint Gaussian Processes

      • Rossella Arcucci, Douglas McIlwraith, Yi-Ke Guo
      Pages 111-125
    3. Kernel Embedded Nonlinear Observational Mappings in the Variational Mapping Particle Filter

      • Manuel Pulido, Peter Jan vanLeeuwen, Derek J. Posselt
      Pages 141-155
    4. Kernel Methods for Discrete-Time Linear Equations

      • Boumediene Hamzi, Fritz Colonius
      Pages 178-191
    5. Physics-Informed Echo State Networks for Chaotic Systems Forecasting

      • Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
      Pages 192-198
    6. Tuning Covariance Localization Using Machine Learning

      • 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

About this book

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.

Editors and Affiliations

  • University of Algarve, Faro, Portugal

    João M. F. Rodrigues, Pedro J. S. Cardoso, Jânio Monteiro, Roberto Lam

  • University of Amsterdam, Amsterdam, The Netherlands

    Valeria V. Krzhizhanovskaya, Michael H. Lees, Peter M.A. Sloot

  • University of Tennessee at Knoxville, Knoxville, USA

    Jack J. Dongarra

Bibliographic Information

Buy it now

Buying options

eBook USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access