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Software Engineering Methods in Systems and Network Systems

Proceedings of 7th Computational Methods in Systems and Software 2023, Vol. 1

  • Conference proceedings
  • © 2024

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 Zlín, Zlin, Czech Republic

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents the latest research on Software Engineering Application in Informatics
  • Gathers the Proceedings of the 7th Computational Methods in Systems and Software 2023 (CoMeSySo2023) conference
  • Written by experts in the field

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 909)

Included in the following conference series:

Conference proceedings info: CoMeSySo 2023.

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Table of contents (43 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. An Artificial Intelligence-Based Concept and Survey for Personalized Learning in Schools in the Republic of Bulgaria

    • Ekaterina Ivanova, Pavel Zlatarov
    Pages 1-13

  3. Correlation Analysis and Predictive Factors for Building a Mathematical Model

    • V. A. Nelyub, V. S. Tynchenko, A. P. Gantimurov, K. V. Degtyareva, O. I. Kukartseva
    Pages 14-25

  4. Orca Predator Algorithm for Feature Selection

    • Camilo Ravelo, Sebastian Medina, Rodrigo Olivares
    Pages 26-34

  5. Skeleton Detection Using MediaPipe as a Tool for Musculoskeletal Disorders Analysis

    • Josef Böhm, Taotao Chen, Karel Štícha, Jan Kohout, Jan Mareš
    Pages 35-50

  6. Model Design Research Plan for Warehouse Barcode Image Recognition in Smart Systems

    • Jan Tyrychtr, Shady Aly, Adéla Hamplová, Tomáš Benda
    Pages 51-57

  7. Robust \(H_{\infty }\) Controller Design for Satellite Systems with Uncertain Inertia Matrix: A Linear Matrix Inequality Approach

    • Ibrahim Shaikh, Samuel Emebu, Radek Matušů
    Pages 58-66

  8. Pipeline Leakage Detection via Extreme Seeking Entropy

    • Jakub Steinbach, Jakub Seiner, Jan Vrba
    Pages 67-74

  9. Holographic Discs-Volumetric Media and Quality Data Storage Media

    • Salahaddin Yusifov, Elnare Firdus, Durdana Rustamova, Veyis Aliyev, Sabina Sharifli, Rauf Mayilov et al.
    Pages 75-81

  10. Ensuring Operational Continuity and Safety in Refineries Through a Robust Emergency Shutdown System Design and Implementation

    • Salahaddin Yusifov, Rauf Mayilov, Abdulaga Gurbanov, Ijabika Sardarova, Kerim Bagirzade, Mehriban Mammadova et al.
    Pages 82-92

  11. Cyber-Physical Fire Detection and Recognition System with Smart Glasses

    • Nikolay Gospodinov, Georgi Krastev
    Pages 93-102

  12. Trends and Challenges in Surveillance - A Systematic Review of Camera Systems Implementing Artificial Intelligence

    • Boyana Ivanova, Kamelia Shoilekova, Rumen Rusev
    Pages 103-112

  13. Usage of the Summary Model DELIS-CH for Starting the Design Process of an Educational Video Game for Cultural Heritage

    • Yavor Dankov, Andjela Dankova
    Pages 113-120

  14. User-Oriented Dashboard Design Process for the DIZU-EVG Instrument for Visualizing Results from Educational Video Games

    • Yavor Dankov
    Pages 121-129

  15. Heuristic Approaches to Delivering Cloud Resources at Minimal Cost in IT Infrastructure Management

    • Georgi Shipkovenski, Oleg Asenov
    Pages 130-140

  16. Vocal Folds Image Segmentation Based on YOLO Network

    • Jakub Steinbach, Zuzana Urbániová, Jan Vrba
    Pages 141-149

  17. Knowledge Discovery Systems: An Overview

    • Serafeim A. Triantafyllou
    Pages 150-159

  18. Novel Radio Scheduling Framework for Optimal Energy Efficiency in Wireless Sensor Network

    • K. Deepa Mathew, T. Anita Jones Mary Pushpa
    Pages 160-171

  19. A Novel Approach of Intrusion Detection System for IoT Against Modern Attacks Using Deep Learning

    • A. Durga Bhavani, Neha Mangla
    Pages 172-182

  20. Predictive Classification Framework for Software Demand Using Ensembled Machine Learning

    • Salma Firdose, Burhan Ul Islam Khan
    Pages 183-195
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Other volumes

  1. Software Engineering Methods in Systems and Network Systems

  2. Data Analytics in System Engineering

  3. Software Engineering Methods in Systems and Network Systems

  4. Data Analytics in System Engineering

Keywords

About this book

This book presents cutting-edge research and methodologies in software engineering, specifically focusing on systems and network systems. It showcases novel development approaches and network system optimizations, highlighting the field's dynamic evolution. The book is designed for experts, scholars, and professionals, offering insights and tools crucial for advancing the software engineering landscape. Its diverse content makes it an invaluable resource for seasoned professionals and those new to the field, inspiring and enriching readers' understanding of software engineering's future directions.

Editors and Affiliations

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

    Radek Silhavy

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

    Petr Silhavy

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