About the Journal

Journal of Computer Science and Digital  Technology(JCSDT) is a peer-reviewed academic journal dedicated to advancing knowledge in the fields of computer science and engineering. The journal is interested in research on Software Engineering, Computer Hardware & Architecture, Cybernetics, Automation & Control Systems, Robotics, Information Science & Library Science, Artificial Intelligence, Computer Science Theory & Methods, Logic, Information Systems, and Interdisciplinary Applications of Computer Science.

Each manuscript submitted to JCSDT undergoes a rigorous double-blind peer review process to ensure academic integrity, fairness, and the highest standards of scientific quality. Our editorial and review board comprises specialists in computer science and engineering, which helps maintain the journal’s high quality and relevance.

Journal of Computer Science and Digital  Technology provides an international platform to focus on pressing challenges and emerging questions in computer science and engineering. We encourage research that explores fundamental and applied topics, such as the development of innovative software and hardware systems, the advancement of artificial intelligence and machine learning, the design of automation and robotics solutions, and the application of computer science to solve real-world problems. The journal welcomes high-quality original empirical and theoretical articles that offer significant theoretical and practical contributions to the fields of computer science and engineering.

The journal recognizes the interdisciplinary nature of computer science and engineering and encourages relevant research from related fields, such as mathematics, electrical engineering, cognitive science, data science, and information technologyComputer Science and Engineering supports methodological diversity, including quantitative studies, qualitative research, computational modeling, meta-analyses, systematic reviews, case studies, and experimental research, to foster a comprehensive understanding of computer science and engineering phenomena.

By bridging the gap between fundamental research and practical applications, JCSDT aims to inspire innovative solutions to global challenges in technology, automation, artificial intelligence, and beyond. We invite researchers, educators, and practitioners to contribute to this dynamic and evolving field, shaping the future of computer science and engineering for the benefit of society.

Current Issue

Vol. 1 No. 1 (2025): Journal of Computer Science and Ditigal Technology
JCSDT2025V01N01 Cover

Journal of Computer Science and Digital  Technology(JCSDT) is a peer-reviewed academic journal dedicated to advancing knowledge in the fields of computer science and engineering. The journal is interested in research on Software Engineering, Computer Hardware & Architecture, Cybernetics, Automation & Control Systems, Robotics, Information Science & Library Science, Artificial Intelligence, Computer Science Theory & Methods, Logic, Information Systems, and Interdisciplinary Applications of Computer Science.

Each manuscript submitted to JCSDT undergoes a rigorous double-blind peer review process to ensure academic integrity, fairness, and the highest standards of scientific quality. Our editorial and review board comprises specialists in computer science and engineering, which helps maintain the journal’s high quality and relevance.

Published: 2025-04-23

Articles

  • Flood Probability Prediction Based on xLSTM

    Fujiang Yuan, Rongmu Chai, Guanglei Qiang (Author)
    1000056
    DOI: https://doi.org/10.71204/z0zqcs12
  • Dairy Product Production Prediction Based on BiLSTM-Attention model

    Xiangyuan Qi, Guanglei Qiang, Fujiang Yuan (Author)
    1000057
    DOI: https://doi.org/10.71204/by8g5g40
  • Theoretical Analysis of the Impact of Generative Artificial Intelligence on Computer Science Education

    Munger Sun (Author)
    1000064
    DOI: https://doi.org/10.71204/wfyysg31
  • Wind Farm Forecasting Based on MLSTM

    Peng Zhao, Junye Yang, Senhao Zhang (Author)
    1000073
    DOI: https://doi.org/10.71204/rpvp8658
  • Current Application Status, Challenges, and Future Prospects of Artificial Intelligence in the Accounting Field

    Junli Wang (Author)
    1000078
    DOI: https://doi.org/10.71204/wwhw9q61
  • The Effects of Mobile and Server-Side Automated Testing on DevOps Performance Efficiency

    Jun Cui (Author)
    1000080
    DOI: https://doi.org/10.71204/c3f9r559
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