About the Journal

Data Engineering and Applications (DEA) eISSN 3107-099X is an open-access, peer-reviewed international journal committed to publishing high-quality research across the full spectrum of data-related disciplines. The journal serves as an interdisciplinary platform that bridges data theory, technology, and application across diverse sectors including but not limited to engineering, computer science, business, healthcare, social sciences, agriculture, and the arts.

We invite submissions that explore innovative methods, systems, case studies, and applications involving data generation, processing, analysis, visualization, security, governance, and utilization. The journal emphasizes both theoretical contributions and real-world implementations, aiming to support data-driven innovation and digital transformation across industries.

Current Issue

Vol. 5 No. 2 (2026)
View Vol. 5 No. 2 (2026)
Published: 2026-04-04

Articles

  • UNITER-Based Multimodal Extraction Framework for Structured Information Mining in Scientific Literature

    Renata Kopeć, Julia Lidia Rakowska, Ewelina Jastrzębska
    6d:73-86
    DOI: https://doi.org/10.64972/dea.2026.v5i2.1896d:73-86

  • Robust UNet-Based Steganalysis for Secure Image Communication in IoT Camera Systems

    Weronika Czarnecki, Agnieszka Szymanski
    5d:58-72
    DOI: https://doi.org/10.64972/dea.2026.v5i2.1755d:58-72

  • Coordinated Optimization of Multi-Robot Automated Assembly Lines Based on Deep Q-Learning

    Julia Duda, Tomasz Wiśniewski
    4d:44-57
    DOI: https://doi.org/10.64972/dea.2026.v5i2.1734d:44-57

  • Data-Driven Prediction of Tool Wear in Additive Manufacturing Using XGBoost and Multi-Sensor Fusion

    Barbara Szymańska, Małgorzata Kaczmarek, Elżbieta Woźniak
    3d:30-43
    DOI: https://doi.org/10.64972/dea.2026.v5i2.1743d:30-43

  • Hybrid VGG16-GRU Network for Robust and Real-Time Hand Gesture Recognition

    Lucie Hájková
    2d:15-29
    DOI: https://doi.org/10.64972/dea.2026.v5i2.1722d:15-29

  • Bidirectional GRU-Attention Network for Intelligent Industrial Fault Report Classification

    Ghanim Al Kuwaiti, Fahad Al Dosari, Khalid Al Shammari
    1d:1-14
    DOI: https://doi.org/10.64972/dea.2026.v5i2.1711d:1-14
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