Comparative Performance Assessments of Machine-Learning Methods for Artificial Seismic Sources Discrimination. - Mohamed S. Abdalzaher; Sayed S. R. Moustafa; Mohammed Abd-Elnaby; Mohamed Elwekeil (IEEE Access, 2021)

A Quantitative Site-Specific Classification Approach Based on Affinity Propagation Clustering. - Sayed S. R. Moustafa; Mohamed S. Abdalzaher; Farhan Khan; Mohamed Metwaly; Eslam A. Elawadi; Nassir S. Al-Arifi (IEEE Access, 2021)

Development of an Optimized Regression Model to Predict Blast-Driven Ground Vibrations. - Sayed S. R. Moustafa; Mohamed S. Abdalzaher; Mohamed H. Yassien; Taotao Wang; Mohamed Elwekeil; Hesham E. Abdel Hafiez (IEEE Access, 2021)

Seismic Hazard and Site Suitability Evaluation Based on Multicriteria Decision Analysis. - Sayed S. R. Moustafa; Mohamed S. Abdalzaher; Muhammad Naeem; Mostafa M. Fouda (IEEE Access, 2022)

An Optimized Learning Model Augment Analyst Decisions for Seismic Source Discrimination. - Mohamed S. Abdalzaher; Sayed S. R. Moustafa; Hesham E. Abdel Hafiez; Walid Farid Ahmed (IEEE Trans. Geosci. Remote. Sens., 2022)

Seismo-Lineaments in Egypt: Analysis and Implications for Active Tectonic Structures and Earthquake Magnitudes. - Sayed S. R. Moustafa; Mohamed S. Abdalzaher; H. E. Abdelhafiez (Remote. Sens., 2022)

Using Machine Learning for Earthquakes and Quarry Blasts Discrimination. - Mohamed S. Abdalzaher; Moez Krichen; Sayed S. R. Moustafa; Mohannad A. Alswailim (AICCSA, 2023)