| Applicability of deep reinforcement learning for efficient federated learning in massive IoT communications P Tam, R Corrado, C Eang, S Kim Applied Sciences 13 (5), 3083, 2023 | 35 | 2023 |
| Offloading Decision and Resource Allocation in Mobile Edge Computing for Cost and Latency Efficiencies in Real-Time IoT C Eang, S Ros, S Kang, I Song, P Tam, S Math, S Kim Electronics 13 (7), 1218, 2024 | 5 | 2024 |
| ML/SDN-Based MEC Resource Management for QoS Assurances S Ros, C Eang, P Tam, S Kim International Conference on Computer Science and its Applications and the …, 2022 | 5 | 2022 |
| Improving the Accuracy and Effectiveness of Text Classification Based on the Integration of the Bert Model and a Recurrent Neural Network (RNN_Bert_Based) C Eang, S Lee Applied Sciences 14 (18), 8388, 2024 | 3 | 2024 |
| Predictive Maintenance and Fault Detection for Motor Drive Control Systems in Industrial Robots Using CNN-RNN-Based Observers C Eang, S Lee Sensors 25 (1), 25, 2024 | 2 | 2024 |
| An Integration of Deep Neural Network-Based Extended Kalman Filter (DNN-EKF) Method in Ultra-Wideband (UWB) Localization for Distance Loss Optimization C Eang, S Lee Sensors 24 (23), 7643, 2024 | | 2024 |
| Implementation of Deep Learning for Smart City Applications: Lessons Learned S Kang, S Ros, C Eang, P Tam, S Kim | | |