About the Journal

Aims and Scope

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.

IJCEDS aims to provide global visibility to scientific work through its open access model and to ensure academic excellence by selecting manuscripts through a rigorous double-blind peer review process. All published papers are evaluated based on originality, scientific relevance, timeliness, and clarity.

Scope of the Journal

The journal welcomes submissions in the form of research articles, review papers, and survey studies covering (but not limited to) the following areas:

  • 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, and Deep Learning

  • Theoretical Computer Science and Algorithms

  • Telecommunications Systems and Technologies

  • Database Systems

  • Cybersecurity and Privacy

  • Emerging Topics in Computer Engineering and Applied Data Science

IJCEDS also encourages interdisciplinary submissions that connect computer science with engineering, health, education, or social sciences, where computational methods play a significant role.

Benefits of Publishing with IJCEDS

High Visibility
As an open access journal, all articles published in IJCEDS are freely accessible to readers worldwide. This ensures maximum exposure, promotes academic exchange, and increases citation potential for authors.

Rapid and Rigorous Peer Review
IJCEDS offers a fast and transparent publication process while maintaining strict quality control. Submissions are handled through an online system, and the peer review is managed electronically. Once accepted, articles are promptly published online with final citations in both web and PDF formats.

Academic Recognition
The journal maintains high editorial standards and a selective peer review process, providing authors with academic recognition and the opportunity to contribute to the global advancement of computer science.

Authors publishing in the International Journal of Computer Engineering and Data Science (IJCEDS) retain full copyright of their work. The journal is granted the right of first publication, but no transfer of copyright is required.

Authors are free to:

  • Reuse their work in other publications (e.g., books, theses),

  • Deposit the preprint or postprint in institutional or disciplinary repositories,

  • Share the published version, with clear attribution to IJCEDS as the original publisher.

Licensing Policy

All articles published in IJCEDS are licensed under the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) license.

This license allows:

  • Sharing, copying, and redistribution in any medium or format,

  • Adaptation and remixing for non-commercial purposes,

Provided that:

  • Appropriate credit is given to the author(s) and the journal,

  • A link to the license is included,

  • Any changes made are clearly indicated,

  • The use remains strictly non-commercial.

Learn more about this license: https://creativecommons.org/licenses/by-nc/4.0/

Open Access Policy

All articles published in IJCEDS are made freely and permanently accessible online immediately upon publication. The journal does not impose any subscription fees or registration barriers, in accordance with its open access policy.

By choosing IJCEDS, authors ensure that their work reaches a global audience without restrictions, while retaining full rights under the CC BY-NC 4.0 license. This open model supports equitable access to scientific knowledge and encourages responsible use, sharing, and citation of published work.

Plagiarism and AI-Generated Content Policy

IJCEDS enforces a strict zero-tolerance policy toward plagiarism and unethical manuscript practices. All submissions are automatically screened using advanced plagiarism detection tools such as Turnitin, iThenticate, and AI-assisted similarity checkers.

The acceptable similarity threshold is set at a maximum of 15%, excluding references, bibliography, and standard methodological phrases. Manuscripts exceeding this threshold, or containing improperly cited content, will be rejected without review.

In addition, IJCEDS monitors the use of AI-generated content (e.g., from tools such as ChatGPT, Bard, or Copilot). Authors must ensure that such tools are only used to assist language clarity or formatting and not to generate scientific content, data analysis, or interpretations. Any suspected misuse of generative AI will result in desk rejection or retraction, depending on the stage of detection.

Authors are fully responsible for the originality, authenticity, and academic integrity of their manuscripts.

Archiving Policy

The International Journal of Computer Engineering and Data Science (IJCEDS) ensures the long-term preservation of its published content through the PKP Preservation Network (PKP PN).

  • Preservation service: PKP PLN – Public Knowledge Project, Simon Fraser University

  • URL: https://pkp.sfu.ca/pkp-pn

  • Access type: Dark archive (no direct online access)

  • Preservation status: Active since 2021

In case the journal ceases operations or content becomes otherwise unavailable, the preserved content will be made accessible by the PKP PN to ensure the scholarly record remains intact.

Repository Policy

Authors are permitted and encouraged to deposit any version of their manuscript (preprint, accepted manuscript, or published version) in institutional or disciplinary repositories of their choice, without embargo. All deposited versions must include a citation of the published version in IJCEDS and indicate the Creative Commons license (CC BY-NC 4.0).

This policy supports the visibility, accessibility, and long-term preservation of scholarly research.