About the Journal

The Journal of Computer Science and Cybernetics (J. Comput. Sci. Cybern.), created and published by Vietnam Academy of Science and Technology, is Vietnam’s national journal in Computer Science and Cybernetics. The Journal is granted license by the Ministry of Information and Communications of Vietnam.

The Journal of Computer Science and Cybernetics provides a forum for the dissemination of new research results in the fields of Computer Science and Cybernetics. The Journal presents high-quality, original contributions to the science and engineering of the fields Computer Science and Cybernetics, of authors inside and outside Vietnam. 

Currently, the J. Comput. Sci. Cybern. publishes in both forms: print and electronic. The journal starts publishing all articles in English since 2014.

Current Issue

Vol. 41 No. 3 (2025)
Published: 06-06-2025

Articles

  • Attribute reduction based on rough set theory and its extensions: A review
    Nguyen Long Giang, Pham Viet Anh, Janos Demetrovics, Vu Duc Thi
    225--243

    • pdf
      • Abstract View : 60 / PDF Downloaded : 7
    DOI: https://doi.org/10.15625/1813-9663/22487

  • Mamba-MHAR: An efficient multimodal framework for human action recognition
    Trung-Hieu Le, Khanh-Nguyen Thai, Tuan-Anh Le, Mathieu Delalandre, Trung-Kien Tran, Thanh-Hai Tran, Cuong-Pham
    245--264

    • pdf
      • Abstract View : 79 / PDF Downloaded : 14
    DOI: https://doi.org/10.15625/1813-9663/22770

  • ViTC-UReID: Enhancing unsupervised person ReID with vision transformer image encoder and camera-aware proxy learning
    Hai Dang Pham, Ngoc Tu Nguyen, Ngoc Hoa Nguyen
    265--284

    • pdf
      • Abstract View : 26 / PDF Downloaded : 10
    DOI: https://doi.org/10.15625/1813-9663/23018

  • ViBidirectionMT - Eval: Machine translation for Vietnamese-Chinese and Vietnamese-Lao language pair
    Tran Hong Viet, Nguyen Minh Quy, Nguyen Van Vinh
    285--304

    • pdf
      • Abstract View : 36 / PDF Downloaded : 9
    DOI: https://doi.org/10.15625/1813-9663/21055

  • Pre-trained language models fine-tuned with SVM for legal textual entailment recognition
    Quan Van Nguyen, Anh Trong Nguyen, Huy Quang Pham, Kiet Van Nguyen
    305--321

    • pdf
      • Abstract View : 28 / PDF Downloaded : 11
    DOI: https://doi.org/10.15625/1813-9663/20618

  • Integrating features and harnessing pre-trained visual-language models for enhancing VQA reading comprehension
    Xuan Linh Truong
    323--336

    • pdf
      • Abstract View : 95 / PDF Downloaded : 7
    DOI: https://doi.org/10.15625/1813-9663/20525
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