Using Business Intelligence to Analyze Road Traffic Accidents. - Mohammed Awad; Aneesa Al Redhaei; Salam Fraihat (CEEeGov, 2022)

Examining the Suitability of NetFlow Features in Detecting IoT Network Intrusions. - Mohammed Awad; Salam Fraihat; Khouloud Salameh; Aneesa Al Redhaei (Sensors, 2022)

Utilizing Optimization Techniques in Feature Selection for Effective Cardiovascular Disease Prediction. - Aneesa Al Redhaei; Wafa' Abu Fares; Mohammed Azmi Al-Betar (ACIT, 2023)

Real-Time Machine Learning-Based Driver Drowsiness Detection Using Visual Features. - Yaman Albadawi; Aneesa Al Redhaei; Maen Takruri (J. Imaging, 2023)

Intrusion detection system for large-scale IoT NetFlow networks using machine learning with modified Arithmetic Optimization Algorithm. - Salam Fraihat; Sharif Naser Makhadmeh; Mohammed Awad; Mohammed Azmi Al-Betar; Aneesa Al Redhaei (Internet Things, 2023)

Machine Learning in Higher Education: Predicting and Mitigating Student Dropout. - Sana Abouelnour; Aneesa Al Redhaei; Mohammed Azmi Al-Betar; Ghazi Al-Naymat (ACIT, 2024)

A self-supervised BEiT model with a novel hierarchical patchReducer for efficient facial deepfake detection. - Aneesa Al Redhaei; Salam Fraihat; Mohammed Azmi Al-Betar (Artif. Intell. Rev., 2025)