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© 2021

Computational Science – ICCS 2021

21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part II

  • Maciej Paszynski
  • Dieter Kranzlmüller
  • Valeria V. Krzhizhanovskaya
  • Jack J. Dongarra
  • Peter M. A. Sloot
Conference proceedings ICCS 2021
  • 13k Downloads

Part of the Lecture Notes in Computer Science book series (LNCS, volume 12743)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 12743)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Advances in High-Performance Computational Earth Sciences: Applications and Frameworks

    1. Front Matter
      Pages 1-1
    2. Ryota Kusakabe, Tsuyoshi Ichimura, Kohei Fujita, Muneo Hori, Lalith Wijerathne
      Pages 3-15
  3. Applications of Computational Methods in Artificial Intelligence and Machine Learning

    1. Front Matter
      Pages 31-31
    2. Szymon Łukasik, Andrzej Michałowski, Piotr A. Kowalski, Amir H. Gandomi
      Pages 92-103
    3. Wanhui Qian, Jinzhu Yang, Fuqing Zhu, Yipeng Su, Songlin Hu
      Pages 104-117
    4. Miaojin Li, Peng Fu, Zheng Lin, Weiping Wang, Wenyu Zang
      Pages 118-132
    5. Rafał Grzeszczuk, Marcin Kurdziel
      Pages 133-139
    6. Zijian Jia, Yepeng Yao, Qiuyun Wang, Xuren Wang, Baoxu Liu, Zhengwei Jiang
      Pages 167-180
    7. Mengtian Gu, Biyu Zhou, Fengyang Du, Xuehai Tang, Wang Wang, Liangjun Zang et al.
      Pages 181-194
    8. Juncheng Guo, Yafei Sang, Peng Chang, Xiaolin Xu, Yongzheng Zhang
      Pages 195-208
    9. Weixia Dang, Biyu Zhou, Lingwei Wei, Weigang Zhang, Ziang Yang, Songlin Hu
      Pages 209-223

Other volumes

  1. 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part I
  2. Computational Science – ICCS 2021
    21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part II
  3. 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part III
  4. 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part IV
  5. 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part V
  6. 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part VI

About these proceedings

Introduction

The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.*

The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named:

Part I: ICCS Main Track

Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science

Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health

Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems

Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation

Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models

*The conference was held virtually.

Chapter “Effective Solution of Ill-posed Inverse Problems with Stabilized Forward Solver” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.


Keywords

artificial intelligence computer networks computer vision data security image processing machine learning network protocols neural networks numerical methods parallel processing systems processors semantics signal processing telecommunication networks

Editors and affiliations

  1. 1.AGH University of Science and TechnologyKrakowPoland
  2. 2.Ludwig-Maximilians-Universität MünchenMunichGermany
  3. 3.University of AmsterdamAmsterdamThe Netherlands
  4. 4.University of Tennessee at KnoxvilleKnoxvilleUSA
  5. 5.University of AmsterdamAmsterdamThe Netherlands

Bibliographic information