| MSA R-CNN: A comprehensive approach to remote sensing object detection and scene understanding ASMS Sagar, Y Chen, YK Xie, HS Kim Expert Systems with Applications 241, 122788, 2024 | 19 | 2024 |
| An automatic fine-grained violence detection system for animation based on modified faster R-CNN Y Tang, Y Chen, SASM Sharifuzzaman, T Li Expert Systems with Applications 237, 121691, 2024 | 10 | 2024 |
| Deep learning based underground sewer defect classification using a modified RegNet Y Chen, SASM Sharifuzzaman, H Wang, Y Li, LM Dang, HK Song, ... Comput. Mater. Contin 75, 5455-5473, 2023 | 5 | 2023 |
| BayesNet: Enhancing UAV-Based Remote Sensing Scene Understanding with Quantifiable Uncertainties ASMS Sagar, J Tanveer, Y Chen, LM Dang, A Haider, HK Song, H Moon Remote Sensing 16 (5), 925, 2024 | 3 | 2024 |
| Bayes R-CNN: An Uncertainty-Aware Bayesian Approach to Object Detection in Remote Sensing Imagery for Enhanced Scene Interpretation SASM Sharifuzzaman, J Tanveer, Y Chen, JH Chan, HS Kim, KD Kallu, ... Remote Sensing 16 (13), 2405, 2024 | 2 | 2024 |
| Reinforcement learning-based drone simulators: survey, practice, and challenge JH Chan, K Liu, Y Chen, ASM Sagar, YG Kim Artificial Intelligence Review 57 (10), 1-47, 2024 | | 2024 |
| Jointly optimizing resource and heterogeneity in IoT networks using a Three-Stage Asynchronous Federated Reinforcement Learning ASMS Sagar, Y Chen, MA Rob, HS Kim Internet of Things, 101242, 2024 | | 2024 |
A S M Sharifuzzaman SagarDepartment of Artificial Intelligence and Robotics, Sejong University在 sejong.ac.kr 的电子邮件经过验证
