| A bandwidth efficient hybrid multilevel pulse width modulation for visible light communication system: experimental and theoretical evaluation MAS Sejan, RP Naik, BG Lee, WY Chung IEEE Open Journal of the Communications Society 3, 1991-2004, 2022 | 6 | 2022 |
| A Comprehensive Survey of Unmanned Aerial Vehicles Detection and Classification Using Machine Learning Approach: Challenges, Solutions, and Future Directions MH Rahman, MAS Sejan, MA Aziz, R Tabassum, JI Baik, HK Song Remote Sensing 16 (5), 879, 2024 | 1 | 2024 |
| A comprehensive survey on MIMO visible light communication: current research, machine learning and future trends MAS Sejan, MH Rahman, MA Aziz, DS Kim, YH You, HK Song Sensors 23 (2), 739, 2023 | 16 | 2023 |
| A Novel Approach for Indoor Wide Area Monitoring Network Based on Visible Light Communication SMA SHAKIL 부경대학교, 2022 | | 2022 |
| An Integrated Deep Learning Approach for Joint channel Estimation and Signal Detection in NOMA-OFDM System MA Aziz, MH Rahman, MAS Sejan, R Tabassum, HK Song 한국통신학회 학술대회논문집, 844-845, 2023 | | 2023 |
| Bidirectional Visible Light Communication for Indoor Fine Particulate Matter Data Monitoring MAS Sejan, JJ Kim, WY Chung KICSP, 2019 | | 2019 |
| Convolutional Neural Network-Based UAV Classification Using RF Fingerprints MH Rahman, MAS Sejan, JI Baik, MA Aziz, R Tabassum, HK Song 한국통신학회 학술대회논문집, 485-486, 2024 | | 2024 |
| Deep Bidirectional Learning Based Enhanced Outage Probability for Aerial Reconfigurable Intelligent Surface Assisted Communication Systems MH Rahman, MAS Sejan, MA Aziz, R Tabassum, HK Song Mathematics 12 (11), 1615, 2024 | | 2024 |
| Deep Convolutional and Recurrent Neural-Network-Based Optimal Decoding for RIS-Assisted MIMO Communication MH Rahman, MAS Sejan, MA Aziz, DS Kim, YH You, HK Song Mathematics 11 (15), 3397, 2023 | 6 | 2023 |
| Deep learning based improved cascaded channel estimation and signal detection for reconfigurable intelligent surfaces-assisted MU-MISO systems MH Rahman, MAS Sejan, MA Aziz, JI Baik, DS Kim, HK Song IEEE Transactions on Green Communications and Networking, 2023 | 16 | 2023 |
| Deep Learning Based One Bit-ADCs Efficient Channel Estimation Using Fewer Pilots Overhead for Massive MIMO System MH Rahman, MAS Sejan, MA Aziz, R Tabassum, JI Baik, HK Song IEEE Access, 2024 | 1 | 2024 |
| Deep Learning Model Based Spectral Efficiency Measurement Under Wiener Filter in Multi-user IRS-Assisted Communication System MA Aziz, MH Rahman, MAS Sejan, HK Song 한국통신학회 학술대회논문집, 1345-1346, 2023 | | 2023 |
| Demod-CNN: A Robust Deep Learning Approach for Intelligent Reflecting Surface-Assisted Multiuser MIMO Communication MAS Sejan, MH Rahman, HK Song Sensors 22 (16), 5971, 2022 | 7 | 2022 |
| Fine particulate matter monitoring via a visible light communication in DCT-based optical OFDM J An, MAS Sejan, WY Chung Optics express 27 (10), 15062-15078, 2019 | 10 | 2019 |
| Graph Convolutional Network Design for Node Classification Accuracy Improvement MAS Sejan, MH Rahman, MA Aziz, JI Baik, YH You, HK Song Mathematics 11 (17), 3680, 2023 | 1 | 2023 |
| Graph Neural Network Based Node Classification in Internet of Things Network MAS Sejan, MH Rahman, MA Aziz, JI Baik, HK Song 한국통신학회 학술대회논문집, 1343-1344, 2023 | | 2023 |
| HyDNN: A Hybrid Deep Learning Framework Based Multiuser Uplink Channel Estimation and Signal Detection for NOMA-OFDM System MH Rahman, MAS Sejan, MA Aziz, YH You, HK Song IEEE Access, 2023 | 8 | 2023 |
| Indoor fine particulate matter monitoring in a large area using bidirectional multihop VLC MAS Sejan, WY Chung IEEE Internet of Things Journal 8 (9), 7214-7228, 2020 | 18 | 2020 |
| Intelligent Reflective Surface Assisted Wireless Communication BER Estimation LSTM vs BiLSTM MAS Sejan, MH Rahman, MA Aziz, R Tabassum, HK Song 한국통신학회 학술대회논문집, 487-488, 2024 | | 2024 |
| Intelligent Reflective Surface Assisted Wireless Communication Performance Measurement Using Bi-LSTM R Tabassum, MAS Sejan, MH Rahman, MA Aziz, HK Song 한국통신학회 학술대회논문집, 846-847, 2023 | | 2023 |
Md Habibur RahmanDepartment of Electronic Engineering, Pukyong National University, South Korea在 pukyong.ac.kr 的电子邮件经过验证
