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Computational Statistics and Mathematical Modeling Methods in Intelligent Systems

Proceedings of 3rd Computational Methods in Systems and Software 2019, Vol. 2

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Radek Silhavy

    1. Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

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    You can also search for this editor in PubMed   Google Scholar

  2. Petr Silhavy

    1. Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

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    You can also search for this editor in PubMed   Google Scholar

  3. Zdenka Prokopova

    1. Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

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    You can also search for this editor in PubMed   Google Scholar

  • Presents the latest research on computational statistics and mathematical modeling methods in intelligent systems
  • Gathers the proceedings of the Computational Methods in Systems and Software 2019 (CoMeSySo 2019) conference, which was held online in 2019
  • Written by respected experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1047)

Included in the following conference series:

Conference proceedings info: CoMeSySo 2019 2019.

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Table of contents (40 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Static Compensator for Decentralized Control of Nonsquare Systems

    • FrantiÅ¡ek DuÅ¡ek, Daniel Honc, Jan Merta
    Pages 1-6

  3. The Distributed Ledger-Based Technique of the Neuronet Training Set Forming

    • E. V. Melnik, A. B. Klimenko, D. Y. Ivanov
    Pages 7-15

  4. Decision Support Systems for the Oil Fields with Cloud Multiagent Service

    • Donat Ivanov, Sergey Kapustyan, Anatoly Kalyaev, Iakov Korovin
    Pages 16-23

  5. Floating Data Window Movement Influence to Genetic Programming Algorithm Efficiency

    • Tomas Brandejsky
    Pages 24-30

  6. Performance Analysis of Collaborative Data Mining vs Context Aware Data Mining in a Practical Scenario for Predicting Air Humidity

    • Carmen Ana Anton, Anca Avram, Adrian Petrovan, Oliviu Matei
    Pages 31-40

  7. Structuring a Multicriteria Model to Optimize the Profitability of a Clinical Laboratory

    • João Ricardo Capistrano, Plácido Rogerio Pinheiro, Jorcelan Gonçalves da Silva Júnior, Plínio de Sousa Nogueira
    Pages 41-51

  8. Discharge of Lithium–Oxygen Power Source: Effect of Active Layer Thickness and Current Density on Overall Characteristics of Positive Electrode

    • Yurii G. Chirkov, Oleg V. Korchagin, Vladimir N. Andreev, Vera A. Bogdanovskaya, Viktor I. Rostokin
    Pages 52-69

  9. Comprehensive Framework for Classification of Abnormalities in Brain MRI Using Neural Network

    • S. Harish, G. F. Ali Ahammed
    Pages 70-80

  10. Application of Value Set Concept to Ellipsoidal Polynomial Families with Multilinear Uncertainty Structure

    • Radek Matušů, Bilal Åženol
    Pages 81-89

  11. Comparison of Methods for Time Series Data Analysis for Further Use of Machine Learning Algorithms

    • Andrea Nemethova, Dmitrii Borkin, German Michalconok
    Pages 90-99

  12. Missing Data in Collaborative Data Mining

    • Carmen Ana Anton, Oliviu Matei, Anca Avram
    Pages 100-109

  13. A Survey on Program Analysis and Transformation

    • Ahmed Maghawry, Mohamed Kholief, Yasser Omar, Rania Hodhod
    Pages 110-124

  14. An Improved Location Model for the Collection of Sorted Solid Waste in Densely Populated Urban Centres

    • Olawale J. Adeleke, David O. Olukanni, Micheal O. Olusanya
    Pages 125-135

  15. Atrial Fibrillation for Stroke Detection

    • Oi-Mean Foong, Suziah Sulaiman, Aimi Amirah Khairuddin
    Pages 136-143

  16. A Self-adapting Immigrational Genetic Algorithm for Solving a Real-Life Application of Vehicle Routing Problem

    • Adrian Petrovan, Rudolf Erdei, Petrica Pop-Sitar, Oliviu Matei
    Pages 144-156

  17. Scalable Hypothesis Tests for Detection of Epileptic Seizures

    • Dorin Moldovan
    Pages 157-166

  18. The Exact Frequency Domain Solution for the Periodic Synchronous Averaging Performed in Discrete-Time

    • Oksana Guschina, Timofey Shevgunov, Evgeniy Efimov, Vladimir Kirdyashkin
    Pages 167-175

  19. An Adaptive Cognitive Temporal-Causal Model for Extreme Emotion Extinction Using Psilocybin

    • Seyed Sahand Mohammadi Ziabari, Jan Treur
    Pages 176-186

  20. The Simulation Study of Recursive ABC Method for Warehouse Management

    • Milan Jemelka, Bronislav Chramcov
    Pages 187-196
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Other volumes

  1. Intelligent Systems Applications in Software Engineering

  2. Computational Statistics and Mathematical Modeling Methods in Intelligent Systems

  3. Software Engineering Perspectives in Intelligent Systems

  4. Software Engineering Perspectives in Intelligent Systems

Keywords

About this book

This book presents real-world problems and exploratory research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of the intelligent systems.

This book constitutes the refereed proceedings of the 3rd Computational Methods in Systems and Software 2019 (CoMeSySo 2019), a groundbreaking online conference that provides an international forum for discussing the latest high-quality research results.

Editors and Affiliations

  • Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

    Radek Silhavy, Petr Silhavy, Zdenka Prokopova

Bibliographic Information

  • Book Title: Computational Statistics and Mathematical Modeling Methods in Intelligent Systems

  • Book Subtitle: Proceedings of 3rd Computational Methods in Systems and Software 2019, Vol. 2

  • Editors: Radek Silhavy, Petr Silhavy, Zdenka Prokopova

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-030-31362-3

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2019

  • Softcover ISBN: 978-3-030-31361-6Published: 20 September 2019

  • eBook ISBN: 978-3-030-31362-3Published: 19 September 2019

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XIV, 424

  • Number of Illustrations: 58 b/w illustrations, 100 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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