Mohammad Abrar

According to our database, Mohammad Abrar authored at least 10 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, August, 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

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

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

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

Integration of a Gripper-Equipped Humanoid Social Robot for EEG-Monitored Action Observation Paradigms.

Anh T. Nguyen, Hao Zhang, Tian Tan, Mohammad Abrar, Yuxin Zhang, Michelle J. Johnson

Proceedings of the International Conference On Rehabilitation Robotics, 2025

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

Hybrid Sentiment Analysis Model for Outlier Opinion Mining in Cross-Domain Applications.

Mohammad Abrar, Laila Abd-Ellatif Abd-Elmegid, Alaa A. K. Ismaeel

Proceedings of the 30th International Conference on Mechatronics and Machine Vision in Practice, 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

Proceedings of the IEEE Global Conference on Artificial Intelligence and Internet of Things, 2024

Enhanced Support Vectors based Oversampling Method.

Thabit Sabbah, Mahmoud Ashraf, Mohammad Abrar

Proceedings of the 25th International Arab Conference on Information Technology, 2024