Smart IoT-Biofloc water management system using Decision regression tree. - Samsil Arefin Mozumder; A. S. M. Sharifuzzaman Sagar (CoRR, 2021)

Low-Latency Haptic Open Glove for Immersive Virtual Reality Interaction. - Donghyun Sim; Yoonchul Baek; Minjeong Cho; Sunghoon Park; A. S. M. Sharifuzzaman Sagar; Hyung Seok Kim (Sensors, 2021)

IRHA: An Intelligent RSSI based Home automation System. - Samsil Arefin Mozumder; A. S. M. Sharifuzzaman Sagar (CoRR, 2022)

Drowsiness detection using combined neuroimaging: Overview and Challenges. - A. S. M. Sharifuzzaman Sagar; Tajken Salehen; Md. Abdur Rob (CoRR, 2022)

Multimodal Daily-Life Emotional Recognition Using Heart Rate and Speech Data From Wearables. - Eesun Moon; A. S. M. Sharifuzzaman Sagar; Hyung Seok Kim (IEEE Access, 2024)

MSA R-CNN: A comprehensive approach to remote sensing object detection and scene understanding. - A. S. M. Sharifuzzaman Sagar; Yu Chen; Yakun Xie; Hyung Seok Kim (Expert Syst. Appl., 2024)

Jointly optimizing resource and heterogeneity in IoT networks using a Three-Stage Asynchronous Federated Reinforcement Learning. - A. S. M. Sharifuzzaman Sagar; Yu Chen; Md. Abdur Rob; Hyung Seok Kim (Internet Things, 2024)

An automatic fine-grained violence detection system for animation based on modified faster R-CNN. - Yixin Tang; Yu Chen; A. S. M. Sharifuzzaman Sagar; Tie Li (Expert Syst. Appl., 2024)

BayesNet: Enhancing UAV-Based Remote Sensing Scene Understanding with Quantifiable Uncertainties. - A. S. M. Sharifuzzaman Sagar; Jawad Tanveer; Yu Chen; L. Minh Dang; Amir Haider; Hyoung-Kyu Song 001; Hyeonjoon Moon (Remote. Sens., 2024)

Bayes R-CNN: An Uncertainty-Aware Bayesian Approach to Object Detection in Remote Sensing Imagery for Enhanced Scene Interpretation. - A. S. M. Sharifuzzaman Sagar; Jawad Tanveer; Yu Chen; Jun Hoong Chan; Hyung Seok Kim; Karam Dad Kallu; Shahzad Ahmed (Remote. Sens., 2024)

Reinforcement learning-based drone simulators: survey, practice, and challenge. - Jun Hoong Chan; Kai Liu; Yu Chen; A. S. M. Sharifuzzaman Sagar; Yong-Guk Kim (Artif. Intell. Rev., 2024)

A hierarchical adaptive federated reinforcement learning for efficient resource allocation and task scheduling in hierarchical IoT network. - A. S. M. Sharifuzzaman Sagar; Amir Haider; Hyung Seok Kim (Comput. Commun., 2025)

Deep learning based radish and leaf segmentation for phenotype trait measurement. - Nur Alam; A. S. M. Sharifuzzaman Sagar; L. Minh Dang; Wenqi Zhang; Hanyong Park; Hyeonjoon Moon (Signal Image Video Process., 2025)

DMPCN: Dynamic Modulated Predictive Coding Network with Hybrid Feedback Representations. - A. S. M. Sharifuzzaman Sagar; Yu Chen; Jun Hoong Chan (CoRR, 2025)

A comprehensive study on enhanced QR extraction techniques with deep learning-based verification. - Nur Alam; A. S. M. Sharifuzzaman Sagar; Wenqi Zhang; Taicheng Jin; Arailym Dosset; L. Minh Dang; Hyeonjoon Moon (Appl. Intell., 2025)