| Graph neural networks for intelligent modelling in network management and orchestration: a survey on communications P Tam, I Song, S Kang, S Ros, S Kim Electronics 11 (20), 3371, 2022 | 22 | 2022 |
| DRL-Based Backbone SDN Control Methods in UAV-Assisted Networks for Computational Resource Efficiency I Song, P Tam, S Kang, S Ros, S Kim Electronics 12 (13), 2984, 2023 | 8 | 2023 |
| Modified deep reinforcement learning agent for dynamic resource placement in IoT network slicing S Ros, P Tam, S Kim Journal of Internet Computing and Services 23 (5), 17-23, 2022 | 6 | 2022 |
| A Survey of Intelligent End-to-End Networking Solutions: Integrating Graph Neural Networks and Deep Reinforcement Learning Approaches P Tam, S Ros, I Song, S Kang, S Kim Electronics 13 (5), 994, 2024 | 3 | 2024 |
| Large-scale service function chaining management and orchestration in smart city P Tam, S Kang, S Ros, I Song, S Kim Electronics 12 (19), 4018, 2023 | 3 | 2023 |
| Enhancing QoS with LSTM-Based Prediction for Congestion-Aware Aggregation Scheduling in Edge Federated Learning P Tam, S Kang, S Ros, S Kim Electronics 12 (17), 3615, 2023 | 3 | 2023 |
| 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 | 3 | 2022 |
| 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 | 2 | 2024 |
| A survey on state-of-the-art experimental simulations for privacy-preserving federated learning in intelligent networking S Ros, P Tam, I Song, S Kang, S Kim Electronic Research Archive 32 (2), 1333-1364, 2024 | 2 | 2024 |
| Real-Time Prediction Algorithm for Intelligent Edge Networks with Federated Learning-Based Modeling S Kang, S Ros, I Song, P Tam, S Math, S Kim framework 77 (2), 2023 | 2* | 2023 |
| QoS-Driven Slicing Management for Vehicular Communications P Tam, S Ros, I Song, S Kim Electronics 13 (2), 314, 2024 | 1 | 2024 |
| Handling Efficient VNF Placement with Graph-Based Reinforcement Learning for SFC Fault Tolerance S Ros, P Tam, I Song, S Kang, S Kim Electronics 13 (13), 2552, 2024 | | 2024 |
| Adaptive Model Update Policies for Federated Learning-Assisted Edge Applications in Industrial IoT Networks S Ros, G Cha, P Tam, S Kim | | 2022 |
| Implementation of Deep Learning for Smart City Applications: Lessons Learned S Kang, S Ros, C Eang, P Tam, S Kim | | 2022 |
| Intelligent Control in SDN/NFV-Empowered IoT Systems for Smart City Applications S Ros, P Tam, S Kang, I Song, S Kim | | 2022 |
Prohim TamSoftware Convergence, Soonchunhyang University在 sch.ac.kr 的电子邮件经过验证
