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Author

M. Abonazel

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2 papers indexed here

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Open access Sep 2026

Development of Penalized Estimation for Conway-Maxwell-Poisson Regression under Multicollinearity and High Dimensionality

Modern count data applications are increasingly characterized by dispersion, high dimensionality, and strong predictor dependence, conditions under which maximum likelihood estimation for Conway--Maxwell--Poisson (COM-Poisson) regression becomes unstable and prone to severe overfitting. The purpose of this study is to...

I. M. Taha, M. Abonazel, A. Mousa · 0 citations
Open access Jul 2026

A Proposed Hybrid Deep Learning and Ensemble Learning Model for Predicting Student Dropout in Education

A hybrid prediction framework that integrates deep neural representation learning with stacked ensemble architecture provides a robust and effective framework for early student dropout prediction, supporting data-driven educational interventions and informed decision-making in higher education.

Abdulalim M. Ibrahim, M. Abonazel, A. N. Ahmed · 0 citations

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