Mohammad Abrar Shakil Sejan

Joint deep learning - Empowered efficient automatic modulation recognition for fifth-generation-and-beyond wireless systems

Md Habibur Rahman, Md Abdul Aziz, M. Piran, I. Hameed, Muhammad Usman, Mohammad Abrar Shakil Sejan, et al.

AI- and Deep Learning-Powered Driver Drowsiness Detection Method Using Facial Analysis

Tahesin Samira Delwar, Mangal Singh, Sayak Mukhopadhyay, Akshay Kumar, Deepak Parashar, Yangwon Lee, et al.

The significant number of road traffic accidents caused by fatigued drivers presents substantial risks to the public’s overall safety. In recent years, there has been a notable convergence of intelligent cameras and artificial intelligence (AI), leading to significant advancement…Read more

A Comprehensive Survey of Unmanned Aerial Vehicles Detection and Classification Using Machine Learning Approach: Challenges, Solutions, and Future Directions

Md Habibur Rahman, Mohammad Abrar Shakil Sejan, Md Abdul Aziz, Rana Tabassum, Jung-In Baik, Hyoung-Kyu Song

Autonomous unmanned aerial vehicles (UAVs) have several advantages in various fields, including disaster relief, aerial photography and videography, mapping and surveying, farming, as well as defense and public usage. However, there is a growing probability that UAVs could be mis…Read more

Machine Learning for Intelligent-Reflecting-Surface-Based Wireless Communication towards 6G: A Review

Mohammad Abrar Shakil Sejan, Md Habibur Rahman, Beom-Sik Shin, Ji-Hye Oh, Young-Hwan You, Hyoung-Kyu Song

An intelligent reflecting surface (IRS) is a programmable device that can be used to control electromagnetic waves propagation by changing the electric and magnetic properties of its surface. Therefore, IRS is considered a smart technology for the sixth generation (6G) of communi…Read more