An Intelligent Real-Time Traffic Control Based on Mobile Edge Computing for Individual Private Environment. - Sa Math; Lejun Zhang; Seokhoon Kim; Intae Ryoo (Secur. Commun. Networks, 2020)

Reliable Federated Learning Systems Based on Intelligent Resource Sharing Scheme for Big Data Internet of Things. - Sa Math; Prohim Tam; Seokhoon Kim (IEEE Access, 2021)

Intelligent Massive Traffic Handling Scheme in 5G Bottleneck Backhaul Networks. - Prohim Tam; Sa Math; Seokhoon Kim (KSII Trans. Internet Inf. Syst., 2021)

Intelligent Media Forensics and Traffic Handling Scheme in 5G Edge Networks. - Sa Math; Prohim Tam; Seokhoon Kim (Secur. Commun. Networks, 2021)

Adaptive Resource Optimized Edge Federated Learning in Real-Time Image Sensing Classifications. - Prohim Tam; Sa Math; Chaebeen Nam; Seokhoon Kim (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Optimized Multi-Service Tasks Offloading for Federated Learning in Edge Virtualization. - Prohim Tam; Sa Math; Seokhoon Kim (IEEE Trans. Netw. Sci. Eng., 2022)

Adaptive Partial Task Offloading and Virtual Resource Placement in SDN/NFV-Based Network Softwarization. - Prohim Tam; Sa Math; Seokhoon Kim (Comput. Syst. Sci. Eng., 2023)

A NB-IoT data transmission scheme based on dynamic resource sharing of MEC for effective convergence computing. - Sa Math; Prohim Tam; Ahyoung Lee; Seokhoon Kim (Pers. Ubiquitous Comput., 2023)