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Author

Azath Mubarakali

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Open access Sep 2026

Machine learning-assisted optimization of a BK7/Ag/As₂S₃/graphene surface plasmon resonance biosensor for high-sensitivity urine glucose detection.

Blood glucose monitoring remains challenging due to the invasiveness of finger-prick methods, enzyme instability in electrochemical sensors, and the limitations of laboratory-based techniques for continuous real-time detection. This study presents a theoretically optimized multilayer surface plasmon resonance (SPR) bio...

U. Kumar, A. Basha, Hashim Elshafie et al. · 0 citations
Open access Aug 2026

5G-Based Low-Latency Control Framework for Autonomous Security Robots in Smart Cities

Experimental results show that there was reduction of end-to-end latency among areas to 310 ms as compared to 80200 ms in conventional networks, which facilitates faster communication and decision making and makes it fit the next-generation smart city security systems.

Rajmohan Madasamy, Suman Mishra, Azath Mubarakali · 0 citations
Sep 2026

Utilize deep learning classification of multi-sensor time series data to promote coastal environmental monitoring

The experimental findings indicate that the integrated GNN-GRU-MLP framework is effective in learning general Temporal relational representations, which show an overall classification accuracy of 97.25%, being balanced in the precision, recall, and F1-scores across all classes.

Azath Mubarakali, A. Alqahtani, Hashim Elshafie et al. · 0 citations

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