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Computing&AI Connect

Moussa Ayyash
Editor-in-Chief

Moussa Ayyash
Editor-in-Chief

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Computing&AI Connect is a peer-reviewed, open-access journal committed to fostering advancements and innovation in computing sciences and technologies, and artificial intelligence (AI). 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. This open-access journal follows a continuous publication model and is licensed under Creative Commons Attribution 4.0 (CC BY 4.0).

Volumes 3
Articles 30
Volume: 3, 2026

Insights

45 Days

Time to First Peer Review Decision

87 Days

Time to Final Acceptance

2 Days

Acceptance to First Online


Recent Articles

Perspective

Available Online: 28 Jan 2026

Fine-tuning vs RAG: A Position Paper from the Perspective of LLM-based Cybersecurity Modeling

Volume 3

Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP) tasks, enabling critical capabilities in fields such as business and finance with their cybersecurity analysis. In particular, LLMs are becoming vital in cybersecurity in providing more accurate solutions to different types of threats, vulnerabilities, and security challenges through pattern recognition, intelligent response generation, and automating threat detection. Although LLMs are..

Research Article

Available Online: 31 Dec 2025

The ‘human intelligence’ linguistic variable is a potential fuzzy computational model for the natural languish expression ‘human intelligence’

Volume 2

This paper, present a fuzzy, computational model for the natural languish world ‘human intelligence’. This is a mathematical  model, which takes into account on different kind of understanding of the word ‘intelligent’ and make possible the comparison between different kind of understanding of the word ‘intelligent’ in case of a given IQ index. The model is a linguistic variable mathematical..

Research Article

Available Online: 23 Dec 2025

Sheaf cohomology for fragment-sequencing in hierarchical block rectangular matrices with spectral gaps in the presence of random effects and white noise: the chain

Volume 2

The sheaf cohomology of topological shift for the block-rectangular matrixrepresentation of the hierarchical Markov Model is endowed with the analytical codification of white noise and of random effects. New analytical techniques for fragment sequencing are developed. The fragment sequencing is obtained after the topological Markov chain of the adjacency matrix of the corresponding undirected graph; the presence of white noise..

Review Article

Available Online: 23 Dec 2025

Computing and AI in Genomics-Driven Precision Oncology: Methods, Trials, and Translation

Volume 2