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Artificial Intelligence and Soft Computing

23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16–20, 2024, Proceedings, Part II

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Leszek Rutkowski

    1. Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland

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  2. Rafał Scherer

    1. Częstochowa University of Technology, Częstochowa, Poland

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  3. Marcin Korytkowski

    1. Częstochowa University of Technology, Częstochowa, Poland

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  4. Witold Pedrycz

    1. University of Alberta, Edmonton, Canada

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  5. Ryszard Tadeusiewicz

    1. AGH University of Krakow, Kraków, Poland

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  6. Jacek M. Zurada

    1. University of Louisville, Louisville, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15165)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ICAISC 2024.

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About this book

The two-volume set ICAISC 2024 15164, 15165 and 15166 constitutes the refereed proceedings of the 23rd International Conference on Artificial Intelligence and Soft Computing, ICAISC 2024, held in Zakopane, Poland, during June 16–20, 2024.

The 96 full papers included in this book were carefully reviewed and selected from 179 submissions. They are organized in topical sections as follows:

Part I - neural networks and their applications; pattern classification.

Part II - evolutionary algorithms and their applications; artificial intelligence in modeling and simulation; computer vision, image and speech analysis.

Part III - various problems of artificial intelligence; bioinformatics, biometrics and medical applications.

Keywords

Table of contents (31 papers)

  1. Front Matter

    Pages i-xiv
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  2. Evolutionary Algorithms and Their Applications

    1. Front Matter

      Pages 1-1
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    2. MI-DAUKF for Co-estimation of SOC and SOH in Lithium-Ion Batteries

      • Jing An, Jiang Xiong, Jiacheng Wu, Jinkui Liu, Wei Zhang
      Pages 3-15

    3. Hybridising Genetic Programming Variants for Regression

      • Cry Kuranga, Nelishia Pillay
      Pages 16-27

    4. Evolving Velocity Equations for Particle Swarm Optimisation for Function Approximation

      • Michael du Plessis, Nelishia Pillay
      Pages 28-39

    5. A Comparison of Genetic Programming and Grammatical Evolution for the Generation of Fuzzy ART Choice Functions

      • Mia Gerber, Nelishia Pillay
      Pages 40-52

    6. Cartesian Genetic Programming with a Modified Selection Operator for Combinational Circuit Design: Arithmetic Multipliers and Adders

      • Tomas Hulka, Radomil Matousek, Ladislav Dobrovsky, Jakub Kudela, Ondrej Hojny
      Pages 53-65

    7. Automated Design of Multilevel Thresholding Using Differential Evolution

      • Thambo Nyathi
      Pages 66-78

  3. Artificial Intelligence in Modeling and Simulation

    1. Front Matter

      Pages 79-79
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    2. AI-Based IoT System for Energy Forecasting and Load Management in Smart Grid

      • Pavlo Beshley, Natalia Kryvinska, Mykola Beshley
      Pages 81-92

    3. Learning Optimal Bidding Strategies in All-Pay Auctions

      • Luis Eduardo Craizer, Moacyr Silva, Dario Augusto Borges Oliveira, Marcelo Sant’Anna
      Pages 93-105

    4. On Handling AI Tasks in CPU with Low Latency and High Performance

      • Noman Hossain, Shakib Mahmud Dipto, Sovon Chakraborty, Sahal Bin Saad, Zareen Tasneem, Abu Kowsar et al.
      Pages 106-117

    5. Utilizing Evolutionary Algorithms for the Synthesis of Cryptographic Substitution Patterns

      • Oleksandr Kuznetsov, Nikolay Poluyanenko, Emanuele Frontoni, Sergey Kandiy, Michal Gregus
      Pages 118-129

    6. Advanced Steganography in 3D Models: An AI-Powered Approach

      • Oleksandr Kuznetsov, Emanuele Frontoni, Kateryna Kuznetsova, Natalia Kryvinska, Christian Napoli
      Pages 130-141

    7. A Novel Approach to Cancelable Biometrics Through Deep Learning Distortion Metrics

      • Oleksandr Kuznetsov, Dmytro Zakharov, Emanuele Frontoni, Christian Napoli, Iryna Ivanochko
      Pages 142-152

    8. More Individualized Survival Function Estimation Using Training Data Clustering

      • Wojciech Rafajłowicz, Ewaryst Rafajłowicz, Ewa Skubalska-Rafajłowicz, Magda Skoczeń, Sławomir Zmonarski
      Pages 153-164

    9. Automated Typographic Font Generation Using Artificial Intelligence

      • Nataliya Shakhovska, Oleksandr Petrovskyi, Solomiia Fedusko, Michal Greguš Jr.
      Pages 165-176

    10. Model of Generative Adversarial Neural Network for Font Style Generation Within the Original Style

      • Nataliya Shakhovska, Oleksandr Petrovskyi, Solomiia Fedusko, Aneta Poniszewska-Maranda
      Pages 177-188

    11. Eigenmaps - Modified PCA-Based Approach for Dimensionality Reduction of Multivariate Time Series of Geospatial Data

      • Ewa Skubalska-Rafajłowicz, Adam Krzyżak, Michał Piórek
      Pages 189-200

    12. Evaluation of Dermatological Asymmetry Measure of Shape by Expectation-Maximization

      • Łukasz Wąs, Sławomir Wiak, Piotr Milczarski, Łukasz Szymański
      Pages 201-211
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Other volumes

  1. Artificial Intelligence and Soft Computing

  2. Artificial Intelligence and Soft Computing

  3. Artificial Intelligence and Soft Computing

Editors and Affiliations

  • Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland

    Leszek Rutkowski

  • Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer, Marcin Korytkowski

  • University of Alberta, Edmonton, Canada

    Witold Pedrycz

  • AGH University of Krakow, Kraków, Poland

    Ryszard Tadeusiewicz

  • University of Louisville, Louisville, USA

    Jacek M. Zurada

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