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

Volume 1

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Sergey Kovalev

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

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  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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  • 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 776)

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 (39 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Invited Papers

    1. Front Matter

      Pages 1-1
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    2. Intelligent Interfaces and Systems for Human-Computer Interaction

      • Alexey Karpov, Anastasia Dvoynikova, Elena Ryumina
      Pages 3-13

    3. Three Knowledge Sources and Three Constituents of Artificial Intelligence Foundation

      • Vladimir Gorodetsky
      Pages 14-32

  3. Machine Learning and Its Applications

    1. Front Matter

      Pages 33-33
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    2. Comparative Analysis of Data Synthesis Methods for Prognostic Models Development in Cardiology

      • Vladimir V. Kosterin, Karina I. Shakhgeldyan, Boris I. Geltser, Vladislav Yu. Rublev
      Pages 35-44

    3. Artificial Intelligence Approach to Palladium Nanocatalysts Diagnostics Automation

      • Oleg O. Kartashov, Dmitry S. Polyanichenko, Ilias K. Savvas, Grigory I. Beliavsky, Maria A. Butakova
      Pages 45-54

    4. Methodology for Detecting and Feature Selection of an Information Attack in the Process of Mediatization

      • Ksenia Namytova, Dmitry Gavra, Lidia Vitkova
      Pages 55-64

    5. Planning Maneuvers for Autonomous Driving Based on Offline Reinforcement Learning: Comparative Study

      • Mikhail Melkumov, Aleksandr I. Panov
      Pages 65-74

    6. Big Five: What User Posts Say?

      • Valerii D. Oliseenko, Shamil R. Hastiev, Tatiana V. Tulupyeva
      Pages 75-85

    7. Gated Recurrent Unit Autoencoder for Fault Detection in Penicillin Fermentation Process

      • Andrei Petrovski, Murshedul Arifeen, Sergei Petrovski
      Pages 86-95

    8. Resume Recommendation using RNN Classification and Cosine Similarity

      • Ilham Huseyinov, Issa Diallo, Mhd Wasim Raed
      Pages 96-107

    9. Machine Learning for Adaptive Analysis and Evaluation of Soil Slopes

      • Andrew A. Shulzhenko, Alexander A. Alexandrov, Grigory Belyavsky, Anton Mezhenkov, Maria A. Butakova
      Pages 108-119

    10. Research on Video Pedestrian Tracking Based on the Combination of Optical Flow Method and Target Tracking Network

      • Enzhe Zhao, Dazhi Zhang, Yao Li, Yuying Guo, Boying Wu, Zhichang Guo et al.
      Pages 120-135

    11. Development and Testing Intelligent Video Surveillance Systems Based on the CNN Algorithm

      • Vladimir Polyakov, Igor Dolgiy, Aleksandr Mezhenin
      Pages 136-146

    12. Impact of Loss Functions on the Training of LiDAR-based Place Recognition Models

      • Alexander Melekhin, Dmitry Yudin
      Pages 147-157

    13. Neural Attention Forests: Transformer-Based Forest Improvement

      • Andrei V. Konstantinov, Lev V. Utkin, Alexey A. Lukashin, Vladimir A. Muliukha
      Pages 158-167

    14. Audio-Visual Multi-modal Meeting Recording System

      • Wenfeng Yang, Pengyi Li, Wei Yang, Yuxing Liu, Ovanes Petrosian, Yin Li
      Pages 168-178

  4. Evolutional Modeling

    1. Front Matter

      Pages 179-179
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    2. Studying the Efficiency of Parameter Scaling in Optimal Control Problems with Parallel Memetic Algorithm

      • Maxim Sakharov, Kamila Koledina
      Pages 181-190
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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 1

  • Editors: Sergey Kovalev, Igor Kotenko, Andrey Sukhanov

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-031-43789-2

  • 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: 978-3-031-43788-5Published: 21 September 2023

  • eBook ISBN: 978-3-031-43789-2Published: 20 September 2023

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XIV, 436

  • Number of Illustrations: 42 b/w illustrations, 82 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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