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Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making

2022 International Scientific Conference "Intellectual Systems of Decision-Making and Problems of Computational Intelligence”, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Sergii Babichev

    1. Jan Evangelista Purkyně University in Ústi nad Labem, Ústi nad Labem, Czech Republic

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    You can also search for this editor in PubMed   Google Scholar

  2. Volodymyr Lytvynenko

    1. Kherson National Technical University, Kherson, Ukraine

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents recent research on Decision Making and Computational Intelligence
  • Covers the proceedings of the 16th Conference
  • Written by experts in the field

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 149)

Included in the following conference series:

Conference proceedings info: ISDMCI 2022.

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Table of contents (40 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Analysis and Modeling of Hybrid Systems and Processes

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Application of Convolutional Neural Network for Gene Expression Data Classification

      • Lyudmyla Yasinska-Damri, Sergii Babichev, Bohdan Durnyak, Tatiana Goncharenko
      Pages 3-24

    3. Formation of Subsets of Co-expressed Gene Expression Profiles Based on Joint Use of Fuzzy Inference System, Statistical Criteria and Shannon Entropy

      • Igor Liakh, Sergii Babichev, Bohdan Durnyak, Iryna Gado
      Pages 25-41

    4. Mathematical Model of Preparing Process of Bulk Cargo for Transportation by Vessel

      • Oksana Polyvoda, Vladyslav Polyvoda
      Pages 42-60

    5. Computer Simulation of Joule-Thomson Effect Based on the Use of Real Gases

      • Vasiliy Nadraga, Anatolii Balanda, Mariana Polodiuk, Yuliia Bobyr, Tetiana Kochura
      Pages 61-73

    6. Simulating Soil Organic Carbon Turnover with a Layered Model and Improved Moisture and Temperature Impacts

      • Olha Stepanchenko, Liubov Shostak, Viktor Moshynskyi, Olena Kozhushko, Petro Martyniuk
      Pages 74-91

    7. Optimization of Coagulant Dosing Process for Water Purification Based on Artificial Neural Networks

      • Andrii Safonyk, Myroslav Matviichuk
      Pages 92-104

    8. Methodology for Solving Forecasting Problems Based on Machine Learning Methods

      • Irina Kalinina, Aleksandr Gozhyj
      Pages 105-125

    9. The Comprehensive Model of Using In-Depth Consolidated Multimodal Learning to Study Trading Strategies in the Securities Market

      • Nataliya Boyko
      Pages 126-147

    10. Mathematical and Computer Model of the Tree Crown Ignition Process from a Mobile Grassroots Fire

      • Oksana Karabyn, Olga Smotr, Andrij Kuzyk, Igor Malets, Vasy Karabyn
      Pages 148-159

    11. Features of Complex Application of the Formal Method of EVENT-B for Development of Environmental Management Systems

      • Oleh Mashkov, Oleh Ilyin, Viktor Mashkov, Oleh Boskin, Oksana Ohnieva
      Pages 160-176

    12. Ecology Objects Recognition by Optimized Inverse Filtration of Textured Background

      • Roman Kvyetnyy, Olga Sofina, Yuriy Bunyak
      Pages 177-193

  3. Theoretical and Applied Aspects of Decision-Making Systems

    1. Front Matter

      Pages 195-195
      Download chapter PDF

    2. Information Technology to Assess the Enterprises’ Readiness for Innovative Transformations Using Markov Chains

      • Marharyta Sharko, Olha Liubchuk, Galina Krapivina, Natalia Petrushenko, Olga Gonchar, Kateryna Vorobyova et al.
      Pages 197-213

    3. Method to Find the Original Source of COVID-19 by Genome Sequence and Probability of Electron Capture

      • Yoshio Matsuki, Aleksandr Gozhyj, Irina Kalinina, Peter Bidyuk
      Pages 214-230

    4. Leader-Follower Strategy of Fixed-Wing Unmanned Aerial Vehicles via Split Rejoin Maneuvers

      • Roneel Chand, Krishna Raghuwaiya, Jito Vanualailai
      Pages 231-245

    5. Prognostic Assessment of COVID-19 Vaccination Levels

      • Iryna Pikh, Vsevolod Senkivskyy, Alona Kudriashova, Nataliia Senkivska
      Pages 246-265

    6. Application of the Theory of Functional Stability in the Problems of Covering Territories by Sensory Networks

      • Oleh Mashkov, Alexey Bychkov, Ganna Kalahnik, Victor Shevchenko, Svitlana Vyshemyrska
      Pages 266-285

    7. Adaptive Decision-Making Strategies in the Game with Environment

      • Petro Kravets, Victoria Vysotska, Vasyl Lytvyn, Lyubomyr Chyrun
      Pages 286-301
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Other volumes

  1. Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making

Keywords

About this book

This book contains of 39 scientific papers which include the results of research regarding the current directions in the fields of data mining, machine learning and decision-making. This book is devoted to current problems of artificial and computational intelligence including decision-making systems. Collecting, analysis and processing information are the current directions of modern computer science. Development of new modern information and computer technologies for data analysis and processing in various fields of data mining and machine learning create the conditions for increasing effectiveness of the information processing by both the decrease of time and the increase of accuracy of the data processing.

The papers are divided in terms of their topic into three sections. The first section "Analysis and Modeling of Hybrid Systems and Processes" contains of 11 papers, and the second section "Theoretical and Applied Aspects of Decision-Making Systems" contains of 11 ones too. There are 17 papers in the third section "Data Engineering, Computational Intelligence and Inductive Modeling".

The book is focused to scientists and developers in the fields of data mining, machine learning and decision-making systems.

Editors and Affiliations

  • Jan Evangelista Purkyně University in Ústi nad Labem, Ústi nad Labem, Czech Republic

    Sergii Babichev

  • Kherson National Technical University, Kherson, Ukraine

    Volodymyr Lytvynenko

Bibliographic Information

  • Book Title: Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making

  • Book Subtitle: 2022 International Scientific Conference "Intellectual Systems of Decision-Making and Problems of Computational Intelligence”, Proceedings

  • Editors: Sergii Babichev, Volodymyr Lytvynenko

  • Series Title: Lecture Notes on Data Engineering and Communications Technologies

  • DOI: https://doi.org/10.1007/978-3-031-16203-9

  • 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: 978-3-031-16202-2Published: 14 September 2022

  • eBook ISBN: 978-3-031-16203-9Published: 13 September 2022

  • Series ISSN: 2367-4512

  • Series E-ISSN: 2367-4520

  • Edition Number: 1

  • Number of Pages: XVII, 721

  • Number of Illustrations: 129 b/w illustrations, 200 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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