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. 3 (2026)
View Vol. 5 No. 3 (2026)
Published: 2026-07-05

Articles

  • ConvNeXtV2-FPN Model with Cross-Domain Learning for Load Stability Prediction in Unmanned Forklifts

    Karol Piekarski, Adrian Rosiński, Marcel Łukasz Kubiński, Oskar Wilk
    6d:70-82
    DOI: https://doi.org/10.64972/dea.2026.v5i3.4546d:70-82

  • Collision-Free Cooperative MegaCRN-Enhanced Model for Multi-Manipulator Motion Planning in Shared Workspaces

    Muhammad Rahman, Nur Aisyah, Farid Ismail
    5d:54-69
    DOI: https://doi.org/10.64972/dea.2026.v5i3.4535d:54-69

  • WaveletkAN Pose Refinement for Robot Bin Picking Driven by Cluttered RGB-D Point Clouds

    João Silva, Pedro Costa, Miguel Ferreira
    4d:41-53
    DOI: https://doi.org/10.64972/dea.2026.v5i3.4524d:41-53

  • Improved CoTNet-SE Model for Smart Helmet Positioning Error Correction Under UWB and Inertial Sensor Sequences

    Damian Kaczmarek, Hubert Kasprzyk, Alicja Gruszka
    3d:28-40
    DOI: https://doi.org/10.64972/dea.2026.v5i3.4323d:28-40

  • Physics-Informed Diffusion Policy Transformer Model for DNS Tunnel Traffic Discovery

    Stefan Jovanović, Miloš Stojanović, Zoran Mladenović
    2d:15-27
    DOI: https://doi.org/10.64972/dea.2026.v5i3.3972d:15-27

  • Roadside Acoustic Array Data-Driven S4D-Transformer Model for Performance Evaluation of Noise Barriers

    Sultan Al-Dhaheri, Khamis Al-Zahrani, Hazaa Al-Mansoori
    1d:1-14
    DOI: https://doi.org/10.64972/dea.2026.v5i3.3961d:1-14
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