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© 2021

Computational Science – ICCS 2021

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

  • Maciej Paszynski
  • Dieter Kranzlmüller
  • Valeria V. Krzhizhanovskaya
  • Jack J. Dongarra
  • Peter M. A. Sloot
Conference proceedings ICCS 2021
  • 20k Downloads

Part of the Lecture Notes in Computer Science book series (LNCS, volume 12742)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 12742)

Table of contents

  1. Front Matter
    Pages i-xx
  2. ICCS 2021 Main Track

    1. Front Matter
      Pages 1-1
    2. José Monreal Bailey, Hadi Tabatabaee Malazi, Siobhán Clarke
      Pages 3-16
    3. Tomasz Antczak, Bartosz Skorupa, Mikołaj Szurlej, Rafał Weron, Jacek Zabawa
      Pages 26-33
    4. Zixian Tang, Qiang Wang, Wenhao Li, Huaifeng Bao, Feng Liu, Wen Wang
      Pages 41-54
    5. Daniel Kostrzewa, Piotr Kaminski, Robert Brzeski
      Pages 55-67
    6. Pedro Cárdenas, Boguslaw Obara, Ioannis Ivrissimtzis, Ibad Kureshi, Georgios Theodoropoulos
      Pages 68-82
    7. Diogo Telmo Neves, Marcel Ganesh Naik, Alberto Proença
      Pages 98-113
    8. Maciej Paszyński, Rafał Grzeszczuk, David Pardo, Leszek Demkowicz
      Pages 114-121 Open Access
    9. Aleksandra Knapińska, Piotr Lechowicz, Krzysztof Walkowiak
      Pages 122-136
    10. Jan Idziak, Artjoms Šeļa, Michał Woźniak, Albert Leśniak, Joanna Byszuk, Maciej Eder
      Pages 137-150
    11. Grzegorz Bocewicz, Izabela Nielsen, Czeslaw Smutnicki, Zbigniew Banaszak
      Pages 151-167
    12. Matteo Cardellini, Marco Maratea, Mauro Vallati, Gianluca Boleto, Luca Oneto
      Pages 168-182
    13. Tainã Coleman, Henri Casanova, Ty Gwartney, Rafael Ferreira da Silva
      Pages 183-197
    14. Wojciech Bożejko, Paweł Rajba, Mariusz Uchroński, Mieczysław Wodecki
      Pages 198-205
    15. Dominik Żurek, Kamil Piętak, Marcin Pietroń, Marek Kisiel-Dorohinicki
      Pages 206-212

Other volumes

  1. Computational Science – ICCS 2021
    21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part I
  2. 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 “Deep Learning Driven Self-adaptive hp Finite Element Method” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.


Keywords

artificial intelligence computer networks computer vision databases image processing machine learning network protocols numerical methods parallel processing systems processors signal processing telecommunication networks telecommunication systems telecommunication traffic

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