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S. Mohammad

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Open access 2026

Deep ANN feature fusion with multi-stage data processing and visualization for enhanced breast cancer detection in ultrasound images

This paper proposes a new dynamic feature fusion technique called adaptive gated cross attention fusion (AGCAF), which utilizes a learnable gating function and two-way cross attention to dynamically weight each contribution of features from the DeIT and ViT backbones.

S. Abuowaida, H. Owida, H. Mashagba et al. · 0 citations
Open access 2026

Circular economy models in biotechnology: waste-to-resource pathways for biodiversity enhancement

Abstract The transitional shift from a linear production-consumption-disposal model towards a circular economy model leads to ecosystem pressure reduction while maintaining biodiversity protection. This study develops and assesses waste-to-resource biotechnology systems to determine their impact on biodiversity conserv...

S. Mohammad, A. Vasudevan, M. I. Al-Maaitah et al. · 0 citations
Open access 2026

The mediating role of green innovation capability between AI-driven green project management and sustainable project performance including MADANI sustainability in Malaysian green projects

Artificial intelligence has become a core enabling factor for raising the standard of sustainable project management, and it can effectively strengthen organizational capacity, innovation levels, and the quality of environmental decision-making. Against this backdrop, this study is an original empirical study focused o...

S. Mohammad, Attallah Hassan Mohamed Al-Taani, A. Vasudevan et al. · 0 citations
Review Sep 2026

Extracellular Vesicles in Neurodegenerative Diseases: A New Frontier in Diagnosis and Therapy.

The biogenesis, classification, isolation methods, and molecular content of EVs are reviewed, and their role in the pathogenesis, diagnosis, and treatment of the most important neurodegenerative diseases is analyzed.

S. Mohammad, A. Vasudevan, G. Oriquat et al. · 0 citations
Open access Jul 2026

Condition-based maintenance threshold determination for gearbox fault progression using vibration envelope features and accelerated life testing

Gearbox failures represent a critical problem faced by industrial machines, considering the impacts of such failures on machine reliability, efficiency, and maintenance cost. Despite the well-established use of vibration-based condition monitoring techniques for diagnosing the presence of faults, few attempts have been...

A. Vasudevan, S. Mohammad, M. Hunitie et al. · 0 citations
Review Open access Jul 2026

Net sustainability assessment of AI-driven data centers in the GCC: an MCDA approach framework

A Multi-Criteria Decision Analysis framework is proposed and applies to assess carbon emissions, water use, energy consumption, social impacts and governance structures across three scenarios (business-as-usual), suggesting that under the BAU high-growth scenario, modelled emissions increase substantially by 2035, whil...

Abdelrehim Awad, Bshair Alharthi, Hiyam Abdulrahim et al. · 2 citations
Review

AI-Powered Assessment in Physical Education: Rethinking Student Engagement through Social Sciences Perspectives First position

This study demonstrated that AI-powered assessment captures more dimensions of engagement and applies more equity and transparency in evaluation practices, although success in these areas hinges on the delicate balance between technological bias and student trust.

S. Mohammad, Badrea Al Oraini, Hanan Jadallah et al. · 0 citations

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