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 proliferation of multi-cloud architectures has intensified challenges in phishing detection, as security intelligence becomes fragmented across heterogeneous cloud infrastructures governed by stringent privacy regulations and data sovereignty constraints. Conventional centralized threat detection paradigms necessit...
Shakir Khan, Arvind Panwar, Achin Jain et al.· Scientific Reports· 0 citations
Privacy-preserving collaborative medical image analysis across multiple healthcare institutions remains challenging due to data heterogeneity, patient privacy constraints, and incomplete cross-institutional record alignment. To address these limitations, this paper proposes MST-Former, a multiparty shared transformer...
Shakir Khan, Thamer Alshammari, Fahad Omar Alomary et al.· Scientific Reports· 0 citations
Sleep staging and obstructive sleep apnea (OSA) detection are central to sleep medicine, yet remain con-strained by the complexity of full polysomnography (PSG) and the subjectivity of manual scoring. We present SomniTrack, a multimodal framework that integrates EEG and ECG to automate sleep assessment without relyin...
