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. 4 (2026)
View Vol. 4 (2026)
Published: 2026-01-02

Articles

  • Context-Aware Cascade RCNN for Robust Pedestrian Detection in Complex Urban Environments

    Hana Hájek, Adéla Svoboda
    1-13
    DOI: https://doi.org/10.64972/jaat.2026v4.106

  • Real-Time Semantic Segmentation for Autonomous Driving Based on Swin Transformer

    Sophia Koch, Jakob Bauer, Jonas Fischer
    14-27
    DOI: https://doi.org/10.64972/jaat.2026v4.107

  • Automatic Scientific Literature Text Summarization Based on GPT-4

    Rajesh Joshi, Manoj Iyer, Rakesh Verma, Chunbo Lin
    28-41
    DOI: https://doi.org/10.64972/jaat.2026v4.108

  • Parallax-Aware Urban Road Scene Segmentation Based on DeepLabv3+

    Izabela Rutkowski
    42-56
    DOI: https://doi.org/10.64972/jaat.2026v4.109

  • Adaptive Nonlinear Model Predictive Control for Soft Robotics Applications

    Andrzej Zielinski, Dorota Urban
    57-70
    DOI: https://doi.org/10.64972/jaat.2026v4.111

  • Integration and Application of 5G Ultra-Reliable and Low-Latency Communications in Networked Control Systems for Intelligent Factories

    Jakub Grzegorz Zieliński, Damian Piotr Dąbrowski
    71-84
    DOI: https://doi.org/10.64972/jaat.2026v4.112

  • Automated Classification and Fiber Recovery Process Redesign for Waste Textiles Based on Computer Vision Sorting Algorithms

    Bartosz Dabrowski
    85-98
    DOI: https://doi.org/10.64972/jaat.2026v4.113

  • Application of a Q-Improved Kalman Filter in Non-Gaussian Noise Sensor Signal Acquisition

    Panagiotis Christodoulou, Anastasios Ioannidis, Stavros Tsiolis
    99-111
    DOI: https://doi.org/10.64972/jaat.2026v4.114

  • RoBERTa-Based Sentiment Mining for Engineering Technical Reports

    Piotr Aleksander Kamiński, Natalia Joanna Dąbrowska, Anna Maria Nowicka, Natalia Woźniak
    112-124
    DOI: https://doi.org/10.64972/jaat.2026v4.115

  • Defect Recognition Method for Automated Optical Inspection Systems Based on Generative Adversarial Networks

    Michał Tomasz Dąbrowski, Magdalena Król
    125-138
    DOI: https://doi.org/10.64972/jaat.2026v4.117

  • Neural Radiance Fields (NeRF) for Dynamic Lighting Effects and Real-Time Rendering Optimization in Virtual Fashion Show Garment Design

    Agnieszka Julia Jankowska, Monika Elżbieta Chmielewska
    139-151
    DOI: https://doi.org/10.64972/jaat.2026v4.120p139-151

  • Multi-Source Environmental Data Flood Forecasting System Based on ConvLSTM Networks

    Adéla Svoboda
    152-165
    DOI: https://doi.org/10.64972/jaat.2026v4.121p152-165
View All Issues