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Computing&AI Connect

ISSN: 3104-4719

Moussa Ayyash
Editor-in-Chief

Moussa Ayyash
Editor-in-Chief

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Computing&AI Connect is a global, peer-reviewed, open-access journal committed to fostering advancements and innovation in computing sciences and technologies, and artificial intelligence (AI). The journal plans to publish the research biannually, in the field of computing and AI, in both online and print formats. The journal encompasses a wide spectrum of topics including Computing Paradigms, Artificial Intelligence, Interdisciplinary Applications, Human-Computer Interaction, Data Science and Analytics, Emerging Technologies, Cloud Computing and Virtualization, Intelligent and Smart Systems, Educational Initiatives, Industry Trends, Open Challenges, and Future Directions.

Volumes 2
Articles 23
Volume: 2, 2025
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Open Access Policy:
All articles published in the journal Computing&AI Connect are made accessible through an open-access model, released under the CC BY license. This license facilitates the unrestricted dissemination of articles, encouraging widespread sharing and utilization of valuable research contributions.

Publication Charges:
No publication fee will be charged for articles published by December 2025, and all articles will be available as Open Access.

Subject Categories:
Artificial Intelligence, Computer Science

Article Template:
You are encouraged to use the template to format your article according to our guidelines. However, this is not mandatory, as our layout team will ensure all necessary adjustments are made after acceptance and prior to final publication.

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Target Audience:
This journal is designed for researchers, academics, practitioners, and industry leaders actively involved in the ever-evolving landscape of computing and artificial intelligence.

Ethics Statement:
All articles published by Computing&AI Connect adhere strictly to the ethical guidelines suggested by the Committee on Publication Ethics (COPE).  We execute a stringent peer-review procedure that meticulously assesses the originality, quality, and precision of the research we disseminate. We employ advanced tools to scrutinize the legitimacy of submitted content and maintain a firm zero-tolerance stance toward instances of plagiarism, data manipulation, or inappropriate authorship.
For further details, please review our comprehensive Publication Ethics and Integrity Guidelines.

Insights

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37 Days

Time to First Peer Review Decision

65 Days

Time to Final Acceptance

9 Days

Acceptance to First Online

Recent Updates

All Updates
Published Articles in Computing&AI Connect Now Indexed in Scilit
2024-08-27
Published Articles in Computing&AI Connect Now Indexed in J-Gate
2024-07-19
Published Articles in Computing&AI Connect Now Indexed in Dimensions
2024-07-09

Recent Articles

All Articles
Editorial

Available Online: 02 Sep 2025

Revolutionizing Cardio-Oncology: Utilizing Artificial Intelligence to Build a Cutting-Edge Cancer Registry in Pakistan

Volume 2

Cardio-oncology is a specialized field dedicated to providing effective cancer treatment with minimal cardiotoxicity. This field also encompasses ways to ensure timely identification and appropriate treatment of cardiovascular disease caused by cancer treatment. Cancer patients experience the highest mortality from cardiovascular disease [1], thus signifying the importance of this field. Currently, the data on the outcomes of specialized cardio-oncology services..

https://doi.org/Registering DOI
Research Article

Available Online: 01 Sep 2025

Rewiring Education for a Super-Smart Society: Cognitive Integrity, AI Ethics, and the Future of Knowledge

Volume 2

https://doi.org/Registering DOI
Review Article

Available Online: 25 Aug 2025

Secure and Privacy-Preserving Data Management in Train Coupling/Decoupling Scenarios: A Comprehensive Review and Future Perspectives

Volume 2

https://doi.org/Registering DOI
Research Article

Published: 08 Aug 2025

An Enhanced Puma Optimized Reinforcement Learning Model for Detection of Results Anomalies in Higher Education

Volume 2

https://doi.org/10.69709/CAIC.2025.190984
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