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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 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 1
Articles 8
Volume: 1, 2024

Recent Articles

Review

Published: 06 Dec 2024

Distributed Reinforcement Learning for IoT Security in Heterogeneous and Distributed Networks

Volume 1

The explosive growth of the Internet of Things (IoT) has significantly increased networked devices within distributed and heterogeneous networks. Due to these networks’ inherent vulnerabilities and diversity, the proliferation of IoT devices presents substantial security challenges. Traditional security solutions face challenges in keeping up with the constantly changing threats in dynamic situations. This article reviews the application of distributed Reinforcement Learning approaches to enhance IoT security in dispersed and heterogeneous..

Review

Published: 28 Nov 2024

Integrating Artificial Intelligence for Enhanced Fault Detection in Power Transmission Systems: A Smart Grid Approach

Volume 1

Modern electrical systems rely heavily on sensors and relays for fault detection in three-phase transmission lines and distribution transformers. However, these devices often need more time complexity and are prone to false alarms (erroneous signals). The study was guided by the PRISMA guidelines and methodology. The study's objective was to compare the levels of accuracy of fault detection presented by different models studied between 2023 and 2024. The general objective..

Article

Published: 15 Nov 2024

Social Media and Artificial Intelligence for Sustainable Cities and Societies: A Water Quality Analysis Use-case

Volume 1

Crowd-sourcing has been widely explored for monitoring and feedback on infrastructure and services, such as air and water quality analysis. However, the traditional methods of crowd-sourcing for feedback and analysis of water quality, such as offline and online surveys, have several limitations, such as the limited number of participants and low frequency due to the labor involved in conducting such surveys. Social media analytics could overcome these challenges by providing..

Article

Published: 24 Oct 2024

Refining the Scrum Paradigm: A Comprehensive Study of Software Development Practices (2020-2023)

Volume 1

This article presents a complex vision on software production practices aimed at enhancing the Scrum methodology within software project management. The recommended best practices are closely aligned with contemporary trends in the IT sector, including the total digitalization and virtualization of production processes, the transition to fully remote software development models, the incorporation of artificial intelligence technologies, and the implementation of cost-effective models in team organization. The modifications to software..