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Computing&AI Connect

ISSN: 3006-4163

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 14
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:
Please download the template for preparing your article according to our formatting standards. Using the template is recommended but not mandatory, our layout team will make any necessary adjustments after the manuscript has been accepted.

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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.

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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
Review Article

Available Online: 23 Apr 2025

Artificial Intelligence at the Crossroads of Engineering and Innovation

Volume 2

The field of Artificial Intelligence (AI) is progressively transforming various advanced engineering disciplines, including mechanical, civil, electrical, aerospace, environmental, and biomedical engineering, through improved design, manufacturing, maintenance, and optimization methodologies. Yet, the disjointed and specialized state of the art too frequently prevents the cross-disciplinary application of AI solutions due to disparate performance measures, which result in reduced knowledge transfer and..

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

Available Online: 18 Apr 2025

Comprehensive Classification of Web Tracking Systems : Technological Insights and Analysis

Volume 2

Web tracking (WT) systems are advanced technologies used to monitor and analyze online user behavior. Initially focused on HTML and static webpages, these systems have evolved with the proliferation of IoT, edge computing, and Big Data, encompassing a broad array of interconnected devices with APIs, interfaces and computing nodes for interaction. WT systems are pivotal in technological innovation and business..

https://doi.org/10.69709/CAIC.2025.159980
Research Article

Available Online: 04 Apr 2025

A Novel Transformer Reinforcement Learning-based NFV Service Placement in MEC Networks

Volume 2

The advent of 5G networks has facilitated various Industry 4.0 applications requiring stringent Quality-of-Service (QoS) demands, notably Ultra-Reliable Low-Latency Communication (URLLC). Multi-Access Edge Computing (MEC) has emerged as a key technology to support these URLLC applications by bringing computational resources closer to the user, thus reducing latency. Meanwhile, Network Function Virtualization (NFV) plays a broader role in supporting 5G networks..

https://doi.org/10.69709/CAIC.2025.181989
Review Article

Published: 04 Mar 2025

Security and Privacy in the IIoT: Threats, Possible Security Countermeasures, and Future Challenges

Volume 2

https://doi.org/10.69709/CAIC.2025.139199
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