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Computational Science – ICCS 2023

23rd International Conference, Prague, Czech Republic, July 3–5, 2023, Proceedings, Part IV

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Jiří Mikyška

    1. Czech Technical University in Prague, Prague, Czech Republic

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  2. Clélia de Mulatier

    1. University of Amsterdam, Amsterdam, The Netherlands

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  3. Maciej Paszynski

    1. AGH University of Science and Technology, Krakow, Poland

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  4. Valeria V. Krzhizhanovskaya

    1. University of Amsterdam, Amsterdam, The Netherlands

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  5. Jack J. Dongarra

    1. University of Tennessee at Knoxville, Knoxville, USA

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  6. 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 10476)

Included in the following conference series:

Conference proceedings info: ICCS 2023.

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About this book

The five-volume set LNCS 14073-14077 constitutes the proceedings of the 23rd International Conference on Computational Science, ICCS 2023, held in Prague, Czech Republic, during July 3-5, 2023.

The total of 188 full papers and 94 short papers presented in this book set were carefully reviewed and selected from 530 submissions. 54 full and 37 short papers were accepted to the main track; 134 full and 57 short papers were accepted to the workshops/thematic tracks.

The theme for 2023, "Computation at the Cutting Edge of Science", highlights the role of Computational Science in assisting multidisciplinary research. This conference was a unique event focusing on recent developments in scalable scientific algorithms, advanced software tools; computational grids; advanced numerical methods; and novel application areas. These innovative novel models, algorithms, and tools drive new science through efficient application in physical systems, computational andsystems biology, environmental systems, finance, and others.

Keywords

Table of contents (52 papers)

  1. Front Matter

    Pages i-xxii
    Download chapter PDF

  2. Computational Social Complexity

    1. Front Matter

      Pages 1-1
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    2. The Social Graph Based on Real Data

      • Tomasz M. Gwizdałła, Aleksandra Piecuch
      Pages 3-9

    3. Longitudinal Analysis of the Topology of Criminal Networks Using a Simple Cost-Benefit Agent-Based Model

      • Louis Félix Weyland, Ana Isabel Barros, Koen van der Zwet
      Pages 10-24

    4. Manifold Analysis for High-Dimensional Socio-Environmental Surveys

      • Charles Dupont, Debraj Roy
      Pages 25-39

    5. Toxicity in Evolving Twitter Topics

      • Marcel Geller, Vítor V. Vasconcelos, Flávio L. Pinheiro
      Pages 40-54

    6. Structural Validation of Synthetic Power Distribution Networks Using the Multiscale Flat Norm

      • Rounak Meyur, Kostiantyn Lyman, Bala Krishnamoorthy, Mahantesh Halappanavar
      Pages 55-69

    7. OptICS-EV: A Data-Driven Model for Optimal Installation of Charging Stations for Electric Vehicles

      • Kazi Ashik Islam, Rounak Meyur, Aparna Kishore, Swapna Thorve, Da Qi Chen, Madhav Marathe
      Pages 70-85

  3. Computer Graphics, Image Processing and Artificial Intelligence

    1. Front Matter

      Pages 87-87
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    2. Radial Basis Function Neural Network with a Centers Training Stage for Prediction Based on Dispersed Image Data

      • Kwabena Frimpong Marfo, Małgorzata Przybyła-Kasperek
      Pages 89-103

    3. Database of Fragments of Medieval Codices of the 11th–12th Centuries – The Uniqueness of Requirements and Data

      • Jakub Leszek Pach
      Pages 104-112

    4. Global Optimisation for Improved Volume Tracking of Time-Varying Meshes

      • Jan Dvořák, Filip Hácha, Libor Váša
      Pages 113-127

    5. Detection of Objects Dangerous for the Operation of Mining Machines

      • Jakub Szymkowiak, Marek Bazan, Krzysztof Halawa, Tomasz Janiczek
      Pages 128-139

    6. A Novel DAAM-DCNNs Hybrid Approach to Facial Expression Recognition to Enhance Learning Experience

      • Rayner Alfred, Rayner Henry Pailus, Joe Henry Obit, Yuto Lim, Haviluddin Sukirno
      Pages 140-154

    7. Champion Recommendation in League of Legends Using Machine Learning

      • Kinga Wiktoria Błaszczyk, Dominik Szajerman
      Pages 155-170

    8. Classification Performance of Extreme Learning Machine Radial Basis Function with K-means, K-medoids and Mean Shift Clustering Algorithms

      • Aleksandra Konopka, Karol Struniawski, Ryszard Kozera
      Pages 171-186

    9. Impact of Text Pre-processing on Classification Accuracy in Polish

      • Urszula Gumińska, Aneta Poniszewska-Marańda, Joanna Ochelska-Mierzejewska
      Pages 187-201

    10. A Method of Social Context Enhanced User Preferences for Conversational Recommender Systems

      • Zhanchao Gao, Lingwei Wei, Wei Zhou, Meng Lin, Songlin Hu
      Pages 202-216

    11. Forest Image Classification Based on Deep Learning and XGBoost Algorithm

      • Clopas Kwenda, Mandlenkosi Victor Gwetu, Jean Vincent Fonou-Dombeu
      Pages 217-229

    12. Radius Estimation in Angiograms Using Multiscale Vesselness Function

      • Piotr M. Szczypiński
      Pages 230-244
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Other volumes

  1. Computational Science – ICCS 2023

  2. Computational Science – ICCS 2023

  3. Computational Science – ICCS 2023

  4. Computational Science – ICCS 2023

  5. Computational Science – ICCS 2023

Editors and Affiliations

  • Czech Technical University in Prague, Prague, Czech Republic

    Jiří Mikyška

  • University of Amsterdam, Amsterdam, The Netherlands

    Clélia de Mulatier, Valeria V. Krzhizhanovskaya, Peter M.A. Sloot

  • AGH University of Science and Technology, Krakow, Poland

    Maciej Paszynski

  • University of Tennessee at Knoxville, Knoxville, USA

    Jack J. Dongarra

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