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Advances in Intelligent Systems and Computing V

Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2020, September 23-26, 2020, Zbarazh, Ukraine

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Natalya Shakhovska

    1. Department of Artificial Intelligence, Lviv Polytechnic National University, Lviv, Ukraine

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  2. Mykola O. Medykovskyy

    1. Institute of Computer Science and Information Technologies, Lviv Polytechnic National University, Lviv, Ukraine

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    You can also search for this editor in PubMed   Google Scholar

  • Reports on innovative intelligent systems and computational methods
  • Describes advanced mathematical, numerical and hybrid models
  • Covers a wide range of applications

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1293)

Included in the following conference series:

Conference proceedings info: CSIT 2020.

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Table of contents (78 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Applied Linguistics

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Experimental Investigation of Significant Keywords Search in Ukrainian Content

      • Oleg Bisikalo, Victoria Vysotska, Vasyl Lytvyn, Oksana Brodyak, Svitlana Vyshemyrska, Yuriy Rozov
      Pages 3-29

    3. Linguistic Analysis of Results of Variable Courses Selection by HEI’s Students

      • Pavlo Zhezhnych, Anna Shilinh
      Pages 30-40

    4. Poetic Discourse Processing Applying Graph Theoretic Rules

      • Olena Flys, Maria Bekhta-Hamanchuk
      Pages 41-52

    5. Textual Features and Semantic Analysis of the Reddit News Posts

      • Solomiia Albota
      Pages 53-70

    6. A Model of the Information System of the Associative Verbal Network Presentation

      • Olena Levchenko, Oleh Tyshchenko, Marianna Dilai, Lukas Gajarsky
      Pages 71-83

  3. Artificial Intelilgence

    1. Front Matter

      Pages 85-85
      Download chapter PDF

    2. Intelligent Neural Network Sensory System for the Analysis of Volatile Compounds in Beverages

      • Taras Chaikivskyi, Bohdan Sus, Oleksandr Bauzha, Sergiy Zagorodnyuk
      Pages 87-101

    3. AI System in Monitoring of Emotional State of a Student with Autism

      • Vasyl Andrunyk, Olesia Yaloveha
      Pages 102-115

    4. Neural-like Real-Time Data Protection and Transmission System

      • Ivan Tsmots, Vasyl Rabyk, Oleksa Skorokhoda, Yurii Tsymbal
      Pages 116-129

    5. An Analysis of Gene Regulatory Network Topology Using Results of DNA Microchip Experiments

      • Sergii Babichev, Orest Khamula, Iryna Perova, Bohdan Durnyak
      Pages 130-144

    6. Dynamic Bayesian Network Model of a Country’s Economic Extension

      • Mariia Voronenko, Dmytro Nikytenko, Jan Krejci, Nataliia Krugla, Oleksandr Naumov, Nataliia Savina et al.
      Pages 145-159

    7. Classification of Objects Based on a Tree-Shaped Artificial Immune Network Model

      • Mykola Korablyov, Oleksandr Fomichov, Natalia Axak
      Pages 160-172

    8. Cytological Images Clustering

      • Oleh Berezsky, Oleh Pitsun, Lesia Dubchak, Kateryna Berezka, Taras Dolynyuk, Bohdan Derish
      Pages 173-187

    9. Metric Methods in Computer Vision and Pattern Recognition

      • Oleh Berezsky, Mykhailo Zarichnyi
      Pages 188-209

    10. Dynamic Bayesian Networks Application for Economy Competitiveness Situational Modelling

      • Mariia Voronenko, Dmytro Nikytenko, Jan Krejci, Nataliia Krugla, Oleksandr Naumov, Nataliia Savina et al.
      Pages 210-224

    11. Synthesis of the Centered Bithreshold Neural Network Classifier

      • Vladyslav Kotsovsky, Fedir Geche, Anatoliy Batyuk
      Pages 225-239

    12. The Novel Approach to Modeling the Spread of Viral Infections

      • Nataliya Shakhovska, Nataliia Melnykova, Volodymyr Melnykov, Vitaly Mahlovanyj, Nataliya Hrabovska
      Pages 240-250

    13. Hybrid Power Plant Control System Based on Machine Learning Methods

      • Aleksandr Gozhyj, Peter Bidyuk, Yoshio Matsuki, Vladyslav Nechakhin, Irina Kalinina, Oleg Shchesiuk
      Pages 251-262
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Other volumes

  1. Advances in Intelligent Systems and Computing V

Keywords

About this book

This book reports on new theories and applications in the field of intelligent systems and computing. It covers cutting-edge computational and artificial intelligence methods, advances in computer vision, big data, cloud computing, and computation linguistics, as well as cyber-physical and intelligent information management systems. The respective chapters are based on selected papers presented at the workshop on intelligent systems and computing, held during the International Conference on Computer Science and Information Technologies, CSIT 2020, which was  jointly organized on September 23-26, 2020, by the Lviv Polytechnic National University, Ukraine, the Kharkiv National University of Radio Electronics, Ukraine, and the Technical University of Lodz, Poland, under patronage of Ministry of Education and Science of Ukraine.

Given its breadth of coverage, the book provides academics and professionals with extensive information and a timely snapshot of the fieldof intelligent systems, and is sure to foster new discussions and collaborations among different groups.

Editors and Affiliations

  • Department of Artificial Intelligence, Lviv Polytechnic National University, Lviv, Ukraine

    Natalya Shakhovska

  • Institute of Computer Science and Information Technologies, Lviv Polytechnic National University, Lviv, Ukraine

    Mykola O. Medykovskyy

Bibliographic Information

  • Book Title: Advances in Intelligent Systems and Computing V

  • Book Subtitle: Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2020, September 23-26, 2020, Zbarazh, Ukraine

  • Editors: Natalya Shakhovska, Mykola O. Medykovskyy

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-030-63270-0

  • 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 2021

  • Softcover ISBN: 978-3-030-63269-4Published: 23 December 2020

  • eBook ISBN: 978-3-030-63270-0Published: 22 December 2020

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XIV, 1186

  • Number of Illustrations: 301 b/w illustrations, 284 illustrations in colour

  • Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Machine Learning

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