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Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23)

Volume 2

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Sergey Kovalev

    1. Rostov State Transport University, Rostov-on-Don, Russia

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    You can also search for this editor in PubMed   Google Scholar

  2. Igor Kotenko

    1. St. Petersburg Federal Research Center of the Russian Academy of Sciences, St. Petersburg, Russia

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    You can also search for this editor in PubMed   Google Scholar

  3. Andrey Sukhanov

    1. Rostov State Transport University, Rostov-on-Don, Russia

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    You can also search for this editor in PubMed   Google Scholar

  • Presents key advances in Intelligent Information Technologies for Industry
  • Provides Proceedings of the 7th IITI 2023 conference “Intelligent Information Technologies for Industry”
  • Written by experts in the field

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 777)

Included in the following conference series:

Conference proceedings info: IITI 2023.

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About this book

This book contains the works connected with the key advances in Industrial Artificial Intelligence presented at IITI 2023, the Seventh International Scientific Conference on Intelligent Information Technologies for Industry held on September 25-30, 2023 in St. Petersburg, Russia. The works were written by the experts in the field of applied artificial intelligence including topics such as Machine Learning, Explainable AI, Decision-Making, Fuzzy Logic, Multi-Agent and Bioinspired Systems. The following industrial application domains were touched: railway automation, cyber security, intelligent medical systems, navigation and energetic systems. The editors believe that this book will be helpful for all scientists and engineers interested in the modern state of applied artificial intelligence.

Keywords

Table of contents (32 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Bayesian Networks

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Bayesian Belief Network for Association Between Clusters of Social Media Users with Similar Personality Traits Profiles and Color Characteristics of Their Avatar Images

      • V. Stoliarova, F. Bushmelev, M. Abramov
      Pages 3-12

    3. Algebraic Bayesian Networks: The Generation of the Network Canonical Representation

      • Nikita Kharitonov, Artyom Vyatkin, Alexander Tulupyev
      Pages 13-22

    4. Quantification of Localization Uncertainty in One-Stage Object Detection

      • Yalin Liang, Jie Ning, Yao Li, Junrui Wu, Ruizi Sun, Qi Pan et al.
      Pages 23-36

  3. Cyber Security in Industry 4.0

    1. Front Matter

      Pages 37-37
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    2. Security Evaluation Method for Perspective Types of Human-Computer Interfaces

      • Ksenia Zhernova, Andrey Chechulin
      Pages 39-48

    3. Attacks Against Machine Learning Systems: Analysis and GAN-based Approach to Protection

      • Igor Kotenko, Igor Saenko, Oleg Lauta, Nikita Vasiliev, Dmitry Iatsenko
      Pages 49-59

    4. Comparative Analysis of Machine Learning Methods in Vulnerability Metrics Transformation

      • Dmitry Levshun
      Pages 60-70

    5. An Approach to Early Computer Network Intrusion Detection Based on the Wavelet Transform Energy Spectra Analysis

      • Igor Saenko, Peter Bortniker, Oleg Lauta, Inna Zhdanova, Nikita Vasiliev
      Pages 71-80

    6. Train Without Label: A Self-supervised One-Class Classification Approach for IoT Anomaly Detection

      • Huiyao Dong, Igor Kotenko
      Pages 81-89

    7. Decision-Making Module to Improve the Stability of the UAV Flight

      • Elena S. Basan, Anton B. Mogilny, Alexander A. Lesnikov, Alexander S. Basan
      Pages 90-99

    8. On the Formation of Approximate Descriptions of Cause-and-Effect Relationships During the Analysis of Empirical Data

      • A. Grusho, N. Grusho, M. Zabezhailo, E. Timonina
      Pages 100-105

    9. About Explainable Machine Learning Models for Anomaly Detection in Cyber-Physical Systems

      • Yury Chernyshov
      Pages 106-114

    10. Intelligent Graph-Based Correlation of Security Events in Cyber-Physical Systems

      • Diana Levshun, Igor Kotenko
      Pages 115-124

  4. Intelligent Medical Systems

    1. Front Matter

      Pages 125-125
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    2. Classifier-Based Combined Measure of Syllable Pronunciation Similarity in Speech Rehabilitation

      • Dariya Novokhrestova, Evgeny Kostyuchenko, Aleksey Borovskoy
      Pages 127-136

    3. Application of Computer Vision Technologies to Reduce Injuries in the Athletes’ Training

      • V. V. Borisov, A. E. Misnik, A. A. Velkov, M. A. Shalukhova
      Pages 137-145

    4. Architecture of a Hybrid Clinical Decision Support System

      • Karina I. Shakhgeldyan, Boris I. Geltser, Bogdan V. Potapenko
      Pages 146-156

  5. Automation and Intellectualization for Industrial, Transport and Energetic Systems

    1. Front Matter

      Pages 157-157
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Other volumes

  1. Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23)

  2. Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23)

Editors and Affiliations

  • Rostov State Transport University, Rostov-on-Don, Russia

    Sergey Kovalev, Andrey Sukhanov

  • St. Petersburg Federal Research Center of the Russian Academy of Sciences, St. Petersburg, Russia

    Igor Kotenko

Bibliographic Information

  • Book Title: Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23)

  • Book Subtitle: Volume 2

  • Editors: Sergey Kovalev, Igor Kotenko, Andrey Sukhanov

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-031-43792-2

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-43791-5Published: 18 September 2023

  • eBook ISBN: 978-3-031-43792-2Published: 17 September 2023

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XIV, 348

  • Number of Illustrations: 41 b/w illustrations, 93 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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