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  • © 2021

Computational Science – ICCS 2021

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

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12745)

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 2021.

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  • ISBN: 978-3-030-77970-2
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Table of contents (51 papers)

  1. Front Matter

    Pages i-xix
  2. Computational Methods for Emerging Problems in (dis-)Information Analysis

    1. Front Matter

      Pages 1-1
    2. The Methods and Approaches of Explainable Artificial Intelligence

      • Mateusz Szczepański, Michał Choraś, Marek Pawlicki, Aleksandra Pawlicka
      Pages 3-17
    3. Fake or Real? The Novel Approach to Detecting Online Disinformation Based on Multi ML Classifiers

      • Martyna Tarczewska, Anna Marciniak, Agata Giełczyk
      Pages 18-27
    4. Transformer Based Models in Fake News Detection

      • Sebastian Kula, Rafał Kozik, Michał Choraś, Michał Woźniak
      Pages 28-38
    5. Towards Model-Agnostic Ensemble Explanations

      • Szymon Bobek, Paweł Bałaga, Grzegorz J. Nalepa
      Pages 39-51
  3. Computational Methods in Smart Agriculture

    1. Front Matter

      Pages 53-53
    2. Monitoring the Uniformity of Fish Feeding Based on Image Feature Analysis

      • Piotr Lech, Krzysztof Okarma, Agata Korzelecka-Orkisz, Adam Tański, Krzysztof Formicki
      Pages 68-74
    3. A New Multi-objective Approach to Optimize Irrigation Using a Crop Simulation Model and Weather History

      • Mikhail Gasanov, Daniil Merkulov, Artyom Nikitin, Sergey Matveev, Nikita Stasenko, Anna Petrovskaia et al.
      Pages 75-88
  4. Computational Optimization, Modelling and Simulation

    1. Front Matter

      Pages 89-89
    2. Expedited Trust-Region-Based Design Closure of Antennas by Variable-Resolution EM Simulations

      • Slawomir Koziel, Anna Pietrenko-Dabrowska, Leifur Leifsson
      Pages 91-104
    3. Optimum Design of Tuned Mass Dampers for Adjacent Structures via Flower Pollination Algorithm

      • Sinan Melih Nigdeli, Gebrail Bekdaş, Xin-She Yang
      Pages 105-115
    4. Optimizations of a Generic Holographic Projection Model for GPU’s

      • Mark Voschezang, Martin Fransen
      Pages 131-144
    5. Similarity and Conformity Graphs in Lighting Optimization and Assessment

      • Artur Basiura, Adam Sędziwy, Konrad Komnata
      Pages 145-157
    6. Pruned Simulation-Based Optimal Sailboat Path Search Using Micro HPC Systems

      • Roman Dębski, Bartlomiej Sniezynski
      Pages 158-172
    7. Two Stage Approach to Optimize Electricity Contract Capacity Problem for Commercial Customers

      • Rafik Nafkha, Tomasz Ząbkowski, Krzysztof Gajowniczek
      Pages 173-184
    8. Improved Design Closure of Compact Microwave Circuits by Means of Performance Requirement Adaptation

      • Slawomir Koziel, Anna Pietrenko-Dabrowska, Leifur Leifsson
      Pages 185-199
    9. Graph-Grammar Based Longest-Edge Refinement Algorithm for Three-Dimensional Optimally p Refined Meshes with Tetrahedral Elements

      • Albert Mosiałek, Andrzej Szaflarski, Rafał Pych, Marek Kisiel-Dorohinicki, Maciej Paszyński, Anna Paszyńska
      Pages 200-213

Other Volumes

  1. Computational Science – ICCS 2021

    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. Computational Science – ICCS 2021

    21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part III
  4. Computational Science – ICCS 2021

    21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part IV
  5. Computational Science – ICCS 2021

    21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part V
  6. Computational Science – ICCS 2021

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

About this book

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 “Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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 “Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Chapter: Modelling and Forecasting Based on Recurrent Pseudoinverse Matrices” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Keywords

  • artificial intelligence
  • computer networks
  • correlation analysis
  • genetic algorithms
  • image processing
  • network protocols
  • numerical methods
  • optimization
  • sensors
  • signal processing
  • software design
  • software engineering
  • telecommunication networks
  • telecommunication systems
  • telecommunication traffic
  • wireless telecommunication systems

Editors and Affiliations

  • AGH University of Science and Technology, Krakow, Poland

    Maciej Paszynski

  • Ludwig-Maximilians-Universität München, Munich, Germany

    Dieter Kranzlmüller

  • University of Amsterdam, Amsterdam, The Netherlands

    Valeria V. Krzhizhanovskaya, Peter M.A. Sloot

  • University of Tennessee at Knoxville, Knoxville, USA

    Jack J. Dongarra

Bibliographic Information

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • ISBN: 978-3-030-77970-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 109.99
Price excludes VAT (USA)