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Computational Science – ICCS 2019

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

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. João M. F. Rodrigues

    1. University of Algarve, Faro, Portugal

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  2. Pedro J. S. Cardoso

    1. University of Algarve, Faro, Portugal

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  3. Jânio Monteiro

    1. University of Algarve, Faro, Portugal

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  4. Roberto Lam

    1. University of Algarve, Faro, Portugal

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  5. Valeria V. Krzhizhanovskaya

    1. University of Amsterdam, Amsterdam, The Netherlands

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  6. Michael H. Lees

    1. University of Amsterdam, Amsterdam, The Netherlands

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  7. Jack J. Dongarra

    1. University of Tennessee at Knoxville, Knoxville, USA

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  8. Peter M.A. Sloot

    1. University of Amsterdam, Amsterdam, The Netherlands

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11537)

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

Included in the following conference series:

Conference proceedings info: ICCS 2019.

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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.

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Keywords

Table of contents (47 papers)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. ICCS Main Track

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Synthesizing Quantum Circuits via Numerical Optimization

      • Timothée Goubault de Brugière, Marc Baboulin, Benoît Valiron, Cyril Allouche
      Pages 3-16

    3. Application of Continuous Time Quantum Walks to Image Segmentation

      • Michał Krok, Katarzyna Rycerz, Marian Bubak
      Pages 17-30

    4. Synchronized Detection and Recovery of Steganographic Messages with Adversarial Learning

      • Haichao Shi, Xiao-Yu Zhang, Shupeng Wang, Ge Fu, Jianqi Tang
      Pages 31-43

    5. Multi-source Manifold Outlier Detection

      • Lei Zhang, Shupeng Wang, Ge Fu, Zhenyu Wang, Lei Cui, Junteng Hou
      Pages 44-58

    6. A Fast kNN-Based Approach for Time Sensitive Anomaly Detection over Data Streams

      • Guangjun Wu, Zhihui Zhao, Ge Fu, Haiping Wang, Yong Wang, Zhenyu Wang et al.
      Pages 59-74

    7. n-gram Cache Performance in Statistical Extraction of Relevant Terms in Large Corpora

      • Carlos Goncalves, Joaquim F. Silva, Jose C. Cunha
      Pages 75-88

    8. Lung Nodule Diagnosis via Deep Learning and Swarm Intelligence

      • Cesar Affonso de Pinho Pinheiro, Nadia Nedjah, Luiza de Macedo Mourelle
      Pages 89-101

    9. Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection

      • Yepeng Yao, Liya Su, Chen Zhang, Zhigang Lu, Baoxu Liu
      Pages 102-115

    10. Machine Learning for Performance Enhancement of Molecular Dynamics Simulations

      • JCS Kadupitiya, Geoffrey C. Fox, Vikram Jadhao
      Pages 116-130

    11. 2D-Convolution Based Feature Fusion for Cross-Modal Correlation Learning

      • Jingjing Guo, Jing Yu, Yuhang Lu, Yue Hu, Yanbing Liu
      Pages 131-144

    12. DunDi: Improving Robustness of Neural Networks Using Distance Metric Learning

      • Lei Cui, Rongrong Xi, Zhiyu Hao, Xuehao Yu, Lei Zhang
      Pages 145-159

    13. Autism Screening Using Deep Embedding Representation

      • Haishuai Wang, Li Li, Lianhua Chi, Ziping Zhao
      Pages 160-173

    14. Function and Pattern Extrapolation with Product-Unit Networks

      • Babette Dellen, Uwe Jaekel, Marcell Wolnitza
      Pages 174-188

    15. Fast and Scalable Outlier Detection with Metric Access Methods

      • Altamir Gomes Bispo Junior, Robson Leonardo Ferreira Cordeiro
      Pages 189-203

    16. Deep Learning Based LSTM and SeqToSeq Models to Detect Monsoon Spells of India

      • Saicharan Viswanath, Moumita Saha, Pabitra Mitra, Ravi S. Nanjundiah
      Pages 204-218

    17. Data Analysis for Atomic Shapes in Nuclear Science

      • Mehmet Cagri Kaymak, Hasan Metin Aktulga, Ron Fox, Sean N. Liddick
      Pages 219-233

    18. A Novel Partition Method for Busy Urban Area Based on Spatial-Temporal Information

      • Zhengyang Ai, Kai Zhang, Shupeng Wang, Chao Li, Xiao-yu Zhang, Shicong Li
      Pages 234-246

    19. Mention Recommendation with Context-Aware Probabilistic Matrix Factorization

      • Bo Jiang, Zhigang Lu, Ning Li, Zelin Cui
      Pages 247-261
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Other volumes

  1. Computational Science – ICCS 2019

  2. Computational Science – ICCS 2019

  3. Computational Science – ICCS 2019

  4. Computational Science – ICCS 2019

  5. Computational Science – ICCS 2019

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

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