Human locomotion and localization recognition are of critical importance in the development of intelligent systems with the capability of monitoring, analyzing, and responding to human behavior in the real world. This research proposes a robust yet computationally efficient approach by exploiting the sensors of a smart...
Mohammed Alnusayri, I. Abro, Hadeel Alsolai et al.· PeerJ Computer Science· 0 citations
: The increasing adoption of virtual hospitals and Internet of Medical Things (IoMT)-driven clinical workflows demands service composition mechanisms that can operate reliably under strict privacy constraints and heterogeneous provider ecosystems. Traditional trust-based composition approaches, such as majority voting...
Hédi Hamdi, Zaki Brahmi, Sabeur Lajili et al.· Computer Modeling in Enginee...· 0 citations
Cardiovascular disease diagnosis requires accurate and timely analysis of electrocardiogram (ECG) signals to support reliable clinical decision-making. However, ECG signals are inherently non-stationary, exhibit substantial inter-patient variability, and may share similar morphological patterns across different cardiac...
Mohammed Alnusayri, Sara Mumtaz, Bader Aldughayfiq et al.· Bioengineering· 0 citations
The proposed Adaptive k-Truss-Constrained Agentic AI Framework (ATAC), an AI-based decentralized coordination framework for multi-agent UAV systems, which explicitly factors in graph-theoretic structural considerations during decision-making, is compared to alternative graph-aware coordination approaches.
