Navigating the metaverse: unraveling the impact of artificial intelligence—a comprehensive review and gap analysis

MA Fadhel, AM Duhaim, AS Albahri… - Artificial Intelligence …, 2024 - Springer
In response to the burgeoning interest in the Metaverse—a virtual reality-driven immersive
digital world—this study delves into the pivotal role of AI in sha** its functionalities and …

[HTML][HTML] Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion

L Alzubaidi, ALD Khamael, A Salhi, Z Alammar… - Artificial Intelligence in …, 2024 - Elsevier
Deep learning (DL) in orthopaedics has gained significant attention in recent years.
Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks …

Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook

X Zou, Y Yan, X Hao, Y Hu, H Wen, E Liu, J Zhang… - Information …, 2025 - Elsevier
As cities continue to burgeon, Urban Computing emerges as a pivotal discipline for
sustainable development by harnessing the power of cross-domain data fusion from diverse …

Network and cybersecurity applications of defense in adversarial attacks: A state-of-the-art using machine learning and deep learning methods

YL Khaleel, MA Habeeb, AS Albahri… - Journal of Intelligent …, 2024 - degruyter.com
This study aims to perform a thorough systematic review investigating and synthesizing
existing research on defense strategies and methodologies in adversarial attacks using …

Internet of Things in Smart Cities: Comprehensive Review, Open Issues and Challenges

EH Houssein, MA Othman… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Smart cities rely mainly on the Internet of Things (IoT) to make an urban area smart to offer
its citizens a high quality of life with optimal use of resources and preservation of the …

Dempster–Shafer theory-based information fusion for natural disaster emergency management: A systematic literature review

L Fei, T Li, W Ding - Information Fusion, 2024 - Elsevier
The frequency and unpredictability of natural disasters pose serious challenges to
emergency management in modern society. Effective emergency management requires not …

Mgsfformer: A multi-granularity spatiotemporal fusion transformer for air quality prediction

C Yu, F Wang, Y Wang, Z Shao, T Sun, D Yao, Y Xu - Information Fusion, 2025 - Elsevier
Air quality spatiotemporal prediction can provide technical support for environmental
governance and sustainable city development. As a classic multi-source spatiotemporal …

SSP: self-supervised pertaining technique for classification of shoulder implants in x-ray medical images: a broad experimental study

L Alzubaidi, MA Fadhel, F Hollman, A Salhi… - Artificial Intelligence …, 2024 - Springer
Multiple pathologic conditions can lead to a diseased and symptomatic glenohumeral joint
for which total shoulder arthroplasty (TSA) replacement may be indicated. The long-term …

[HTML][HTML] A Review of Urban Digital Twins Integration, Challenges, and Future Directions in Smart City Development

S Mazzetto - Sustainability, 2024 - mdpi.com
This review paper explores Urban Digital Twins (UDTs) and their crucial role in develo**
smarter cities, focusing on making urban areas more sustainable and well-planned. The …

[HTML][HTML] ATD Learning: A secure, smart, and decentralised learning method for big data environments

L Alzubaidi, SA Jebur, TA Jaber, MA Mohammed… - Information …, 2025 - Elsevier
Big data and its distributed approach to data management have evolved significantly in
recent years, giving rise to a huge volume of data generated from new services, devices (eg …