Md. Abdul Aziz

According to our database, Md. Abdul Aziz authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

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

Remote. Sens., March, 2024

Powerful graph neural network for node classification of the IoT network.

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

Internet Things, 2024

Deep Learning Based One Bit-ADCs Efficient Channel Estimation Using Fewer Pilots Overhead for Massive MIMO System.

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

IEEE Access, 2024

Bidirectional Deep Learning Decoder for Polar Codes in Flat Fading Channels.

Md. Abdul Aziz, Md. Habibur Rahman, Mohammad Abrar Shakil Sejan, Rana Tabassum, Duckdong Hwang, Hyoung-Kyu Song

IEEE Access, 2024

Deep Recurrent Neural Network Based Detector for OFDM With Index Modulation.

Md. Abdul Aziz, Md. Habibur Rahman, Mohammad Abrar Shakil Sejan, Rana Tabassum, Duckdong Hwang, Hyoung-Kyu Song

IEEE Access, 2024

Adapting Graph Structure for IoT Network: A Performance Analysis.

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

Proceedings of the 21st International Joint Conference on Computer Science and Software Engineering, 2024

Graph Neural Network Performance Analysis in the Cell-Free Massive MIMO Wireless Systems.

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

Proceedings of the 21st International Joint Conference on Computer Science and Software Engineering, 2024

2023

Deep Learning-Based Improved Cascaded Channel Estimation and Signal Detection for Reconfigurable Intelligent Surfaces-Assisted MU-MISO Systems.

Md. Habibur Rahman, Mohammad Abrar Shakil Sejan, Md. Abdul Aziz, Jung-In Baik, Dong-Sun Kim, Hyoung-Kyu Song

IEEE Trans. Green Commun. Netw., September, 2023

Spectral Efficiency Improvement Using Bi-Deep Learning Model for IRS-Assisted MU-MISO Communication System.

Md. Abdul Aziz, Md. Habibur Rahman, Mohammad Abrar Shakil Sejan, Jung-In Baik, Dong-Sun Kim, Hyoung-Kyu Song

Sensors, September, 2023

Temporal Neural Network Framework Adaptation in Reconfigurable Intelligent Surface-Assisted Wireless Communication.

Mohammad Abrar Shakil Sejan, Md. Habibur Rahman, Md. Abdul Aziz, Young-Hwan You, Hyoung-Kyu Song

Sensors, March, 2023

A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends.

Mohammad Abrar Shakil Sejan, Md. Habibur Rahman, Md. Abdul Aziz, Dong-Sun Kim, Young-Hwan You, Hyoung-Kyu Song

Sensors, January, 2023

HyDNN: A Hybrid Deep Learning Framework Based Multiuser Uplink Channel Estimation and Signal Detection for NOMA-OFDM System.

Md. Habibur Rahman, Mohammad Abrar Shakil Sejan, Md. Abdul Aziz, Young-Hwan You, Hyoung-Kyu Song

IEEE Access, 2023

2020

Frontiers and Challenges in Electrochemical Corrosion Monitoring; Surface and Downhole Applications.

Abuzar Khan, Ahsanulhaq Qurashi, Wael Badeghaish, Mohamed Noui-Mehidi, Md. Abdul Aziz

Sensors, 2020

A Hybrid Framework for Security in Cloud Computing Based on Different Algorithms.

Jannatul Ferdous, Md. Fuad Newaz Khan, Karim Mohammed Rezaul, Maruf Ahmed Tamal, Md. Abdul Aziz, Pabel Miah

Int. J. Netw. Secur., 2020