About the Journal

Journal of Computing and Data Analytics (JCDA) is a leading international, peer-reviewed, open-access journal dedicated to advancing research in computing, data science, artificial intelligence, and data analytics. Published in one volume per year comprising three issues by Vertex Academic Publishing, JCDA employs a rigorous double-blind peer-review process to ensure the highest standards of scholarly excellence, originality, and scientific integrity. The journal publishes cutting-edge methodological, theoretical, and application-oriented research in computing and data-driven technologies, covering a broad range of topics including artificial intelligence, machine learning, deep learning, big data analytics, statistical computing, computational intelligence, cloud and edge computing, computer vision, optimization, cybersecurity, the Internet of Things, software engineering, and intelligent systems. By fostering the dissemination of high-quality interdisciplinary research, JCDA serves as a global platform for researchers, academics, engineers, and practitioners, promoting innovation, collaboration, and the development of next-generation computing and data analytics technologies.

Copyright Policy

Authors publishing in Journal of Computing and Data Analytics (JCDA) retain the copyright of their work. All published articles are distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, which permits unrestricted use, distribution, reproduction, adaptation, and commercial use in any medium, provided that appropriate credit is given to the original author(s) and the source. This licensing policy promotes the widest possible dissemination and impact of published research while ensuring proper attribution to the authors.

Open Access Policy

Journal of Computing and Data Analytics (JCDA) is a fully open-access journal. All articles are freely and permanently accessible online immediately upon publication without subscription or registration barriers. Readers are permitted to read, download, copy, distribute, print, search, link to, and reuse the full text of published articles in accordance with the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

For more information about the license, please visit:

https://creativecommons.org/licenses/by/4.0/

For more information: