Enhanced Support Vectors based Oversampling Method. - Thabit Sabbah; Mahmoud Ashraf; Mohammad Abrar (ACIT, 2024)

Enhancing IoT Security Through Sentiment Analysis: A Framework for Improved Threat Detection and Adaptive Response. - Laila Abdellatif Abdclmegid; Mohammad Abrar; Alaa A. K. Ismaeel (GCAIoT, 2024)

Hybrid Sentiment Analysis Model for Outlier Opinion Mining in Cross-Domain Applications. - Mohammad Abrar; Laila Abd-Ellatif Abd-Elmegid; Alaa A. K. Ismaeel (M2VIP, 2024)

Reliable Breast Cancer Diagnosis with Deep Learning: DCGAN-Driven Mammogram Synthesis and Validity Assessment. - Dilawar Shah; Mohammad Asmat Ullah Khan; Mohammad Abrar (Appl. Comput. Intell. Soft Comput., 2024)

Integration of a Gripper-Equipped Humanoid Social Robot for EEG-Monitored Action Observation Paradigms. - Anh T. Nguyen; Hao Zhang; Tian Tan 027; Mohammad Abrar; Yuxin Zhang; Michelle J. Johnson (ICORR, 2025)

ATAD-Net: An Adaptive Deep Learning Framework for Real-Time Financial Fraud Detection. - Laila Abd-Ellatif; Mohammad Abrar; Alaa A. K. Ismaeel (Adv. Artif. Intell. Mach. Learn., 2025)

Advanced intrusion detection in the industrial Internet of Things using federated learning and LSTM models. - Raja Waseem Anwer; Mohammad Abrar; Mehar Ullah; Abdu Salam; Faizan Ullah (Ad Hoc Networks, 2025)

Dual-View Deep Learning Model for Accurate Breast Cancer Detection in Mammograms. - Dilawar Shah; Mohammad Asmat Ullah Khan; Mohammad Abrar; Muhammad Tahir (Int. J. Intell. Syst., 2025)

Federated learning with LSTM for intrusion detection in IoT-based wireless sensor networks: a multi-dataset analysis. - Raja Waseem Anwar; Mohammad Abrar; Abdu Salam; Faizan Ullah (PeerJ Comput. Sci., 2025)

TEAD: trust-enhanced anomaly detection framework for intrusion detection in IoT-enabled wireless sensor networks (WSNs). - Raja Waseem Anwer; Mohammad Abrar; Abdu Salam; Faizan Ullah (Wirel. Networks, 2025)