About the Journal

The Journal of Applied Automation Technologies (JAAT) eISSN:3105-5524 is an international, peer-reviewed journal dedicated to publishing high-quality research and application-focused studies in the field of automation and intelligent systems. The journal aims to bridge the gap between theoretical innovation and practical implementation in industrial automation, smart manufacturing, and cyber-physical systems.

JAAT welcomes original research articles, review papers, case studies, and technical reports that address cutting-edge developments and real-world challenges in the design, integration, and deployment of automation technologies. The journal serves as a platform for academic researchers, engineers, and industry professionals to share advances that drive automation-enabled productivity, flexibility, and intelligence.

Current Issue

Vol. 3 (2025)
View Vol. 3 (2025)
Published: 2025-09-27

Articles

Review Articles

  • Network Intrusion Detection Model Based on Data-Driven Algorithm: A Reivew

    Ferenc Fekete, Andrea Lakatos, Anna Varga
    52-62
    DOI: https://doi.org/10.64972/jaat.2025v3.5

  • Intelligent Methods for Feature Extraction and Diagnosis of Rolling Bearing Composite Faults Based on Machine Learning: A Review

    Bartosz Dabrowski, Rafa Walczak
    39-51
    DOI: https://doi.org/10.64972/jaat.2025v3.4

  • A Review of Wind Power Prediction Methods Based on Deep Learning Algorithms

    Wojciech Krol, Filip Tomaszewski, Anna Walczak
    25-38
    DOI: https://doi.org/10.64972/jaat.2025v3.3

  • Intelligent Optimization Algorithm for Solving D2D Communication Resource Allocation in Cellular Networks: A Review

    Jakub Tomaszewski, Alicja Wisniewski, Zofia Urban, Anna Nowak
    13-24
    DOI: https://doi.org/10.64972/jaat.2025v3.2

  • Machine Learning Algorithms in Predicting College Students' Grades: A Review

    Bartlomiej Brzozka
    1-12
    DOI: https://doi.org/10.64972/jaat.2025v3.1
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