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Author

I. Mahmoud

2 papers indexed here

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Open access Oct 2026

Physics Informed Machine Learning for Electrical Sensing and Prediction of Heavy Metal Contamination in Water

Access to safe drinking water remains a global challenge, with approximately 2.1 billion people lacking safely managed water services. Continuous, low-cost monitoring of heavy metal contamination is limited because conventional techniques such as atomic absorption spectroscopy (AAS) and inductively coupled plasma mass...

H. M. Umar, I. Mahmoud, Neha Shrivas et al. · 0 citations
Open access Sep 2026

Reliability-Validated Explainable Machine Learning for Alum Dosage Prediction in Surface-Water Treatment

Optimizing alum dosage remains a major operational challenge in surface-water treatment because coagulant demand is governed by nonlinear physicochemical interactions, episodic source-water disturbances, and non-Gaussian variability. This study developed a reliability-validated and explainable machine-learning framewor...

I. Mahmoud, Musa Abdullahi, L. Garba · 0 citations

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