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Author

M. Salah

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Open access Sep 2026

Explainable Machine Learning for Predicting Student Depression Risk

An explainable machine learning framework for predicting student depression risk using non-clinical demographic, academic, lifestyle, and psychosocial factors was developed and explainability analysis identified Suicidal Thoughts, Academic Pressure, and Financial Stress as the most influential predictors.

Reynalyn Cernechez, S. Hosseini, Muhammad Nadeem et al. · 0 citations
Conference Jul 2026

Stabilization and Tracking Control of Magnetic Levitation Systems Using Backstepping Technique

Magnetic levitation systems represent a class of inherently unstable and highly nonlinear electromechanical systems, making them a compelling benchmark for advanced control strategies. This paper presents a nonlinear control approach for the stabilization and trajectory tracking of a magnetic levitation system using th...

A. Al-Tamimi, M. Salah, A. Al-Jarrah et al. · 0 citations

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