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Journal Photo for International Journal of Computer Engineering and Data Science
Peer reviewed only Open Access

International Journal of Computer Engineering and Data Science (IJCEDS)

Publisher : Africa Journals Online
software papers describing novel tools libraries datasets
e-ISSN 2737-8543
Issue Frequency Monthly
Est. Year 2020
Mobile 270212072868
Language English
APC YES
Email m.lachgar@uca.ac.ma

Journal Descriptions

The International Journal of Computer Engineering and Data Science (IJCEDS) is a peer-reviewed academic journal dedicated to publishing high-quality research in the field of computer science. Its mission is to serve as a platform for disseminating innovative and impactful research to a global audience. IJCEDS is committed to academic excellence, with all submissions undergoing a rigorous double-blind peer review process to ensure originality, relevance, timeliness, and clarity. The journal welcomes contributions that advance knowledge across all domains of computer science and data-driven technologies. In addition to research articles and reviews, IJCEDS also welcomes original software publications (e.g., software papers describing novel tools, libraries, datasets, or reproducible research artefacts) provided that submissions include sufficient technical detail and evidence of utility.The International Journal of Computer Engineering and Data Science (IJCEDS) is a peer-reviewed academic journal committed to advancing research and innovation in computer science and data-driven technologies. The journal serves as a platform for high-quality, original contributions that address contemporary challenges and opportunities in the field.

International Journal of Computer Engineering and Data Science (IJCEDS) is :-

  • International, Peer-Reviewed, Open Access, Refereed, software papers describing novel tools, libraries, datasets, or reproducible research artefacts, Computer Architecture and Systems, Distributed Computing and Computer Networks, Software Engineering and Software Systems, Computer Graphics and Multimedia, Data Management and Data Mining, Internet of Things (IoT), Big Data, and Cloud Computing, Artificial Intelligence, Machine Learning, Deep Learning, Theoretical Computer Science and Algorithms, Telecommunications Systems and Technologies , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2737-8543, Established: 2020,
  • Does Not Provide Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing