논문명 | Graph-Based Deep Reinforcement Learning in Edge Cloud Virtualized O-RAN for Sharing Collaborative Learning Workloads |
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게재지 | IEEE Transactions on Network Science and Engineering (2024) |
저자 | Tam Prohim, Kim Seokhoon |
교신저자 | Kim Seokhoon |
논문명 | Priority/Demand-Based Resource Management with Intelligent O-RAN for Energy-Aware Industrial Internet of Things |
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게재지 | MDPI-Processes (2024) |
저자 | Seyha Ros, Seungwoo Kang, Inseok Song, Geonho Cha, Prohim Tam, and Seokhoon Kim* |
교신저자 | Kim Seokhoon |
논문명 | Handling Efficient VNF Placement with Graph-Based Reinforcement Learning for SFC Fault Tolerance |
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게재지 | Electronic (2024) |
저자 | Ros Seyha, Tam Prohim, Song Inseok, Kang Seungwoo, Kim Seokhoon |
교신저자 | Kim Seokhoon |
논문명 | Offloading Decision and Resource Allocation in Mobile Edge Computing for Cost and Latency Efficiencies in Real-Time IoT |
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게재지 | Electronic (2024) |
저자 | Eang Chanthol, Ros Seyha, Seungwoo Kang, Song Inseok, Tam Prohim, Math Sa, Kim Seokhoon |
교신저자 | Kim Seokhoon |
논문명 | A Survey of Intelligent End-to-End Networking Solutions: Integrating Graph Neural Networks and Deep Reinforcement Learning Approaches |
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게재지 | Electronic (2024) |
저자 | Tam Prohim, Ros Seyha, Song Inseok, Kang Seungwoo, and Kim Seokhoon |
교신저자 | Kim Seokhoon |
논문명 | A survey on state-of-the-art experimental simulations for privacy-preserving federated learning in intelligent networking |
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게재지 | Electronic Research Archive (2024) |
저자 | Seyha Ros, Prohim Tam, Inseok song, Seungwoo Kang, Seokhoon Kim |
교신저자 | Kim Seokhoon |
논문명 | QoS-Driven Slicing Management for Vehicular Communications |
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게재지 | Electronics (2024) |
저자 | Prohim Tam, Seyha Ros, Inseok song, Seokhoon Kim |
교신저자 | Kim Seokhoon |
논문명 | Graph Neural Networks for Intelligent Modelling in Network Management and Orchestration: A Survey on Communications |
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게재지 | Electronics (2022) |
저자 | Tam Prohim, Inseok Song, Seung Kang Seyha Ros, Seokhoon Kim |
교신저자 | Kim Seokhoon |
논문명 | Real-Time Prediction Algorithm for Intelligent Edge Networks with Federated Learning-Based Modelin |
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게재지 | Computers, materials & Continua (2023) |
저자 | Seungwoo Kang, Seyha Ros, Inseok Song, Prohim Tam, Sa Math, Seokhoon Kim |
교신저자 | Kim Seokhoon |
논문명 | Large-Scale Service Function Chaining Management and Orchestration in Smart City |
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게재지 | Electronics (2023) |
저자 | Tam Prohim, Seung Kang, Seyha Ros, Inseok Song, Kim Seokhoon |
교신저자 | Kim Seokhoon |
논문명 | Enhancing QoS with LSTM-Based Prediction for Congestion-Aware Aggregation Scheduling in Edge Federated Learning |
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게재지 | Electronics (2023) |
저자 | Tam Prohim, Seungwoo Kang, Seyha Ros, Kim Seokhoon |
교신저자 | Kim Seokhoon |
논문명 | DRL-Based Backbone SDN Control Methods in UAV-Assisted Networks for Computational Resource Efficiency |
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게재지 | Electronics (2023) |
저자 | Inseok Song, Prohim Tam, Seungwoo Kang, Seyha Ros, Seokhoon Kim |
교신저자 | Kim Seokhoon |
논문명 | Applicability of Deep Reinforcement Learning for Efficient Federated Learning in Massive IoT Communications |
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게재지 | Applied Sciences (2023) |
저자 | Tam Prohim, Riccardo Corrado, Eang Chanthol, Kim Seokhoon |
교신저자 | Kim Seokhoon |
논문명 | Proactive Network Fault Management for Reliable Subscribed Network Slicing in Software-Defined Mobile Data IoT Services |
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게재지 | Scientific Programming (2022) |
저자 | Sa Math, Prohim Tam, and Seokhoon Kim |
교신저자 | Kim Seokhoon |
논문명 | Optimized Multi-Service Tasks Offloading for Federated Learning in Edge Virtualization |
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게재지 | IEEE Transactions on Network Science and Engineering (2022) |
저자 | Prohim Tam, Sa Math, and Seokhoon Kim |
교신저자 | Kim Seokhoon |
논문명 | Multi-Agent Deep Q-Networks for Efficient Edge Federated Learning Communications in Software-Defined IoT |
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게재지 | CMC-Computers, Materials & Continua (2022) |
저자 | Prohim Tam, Sa Math, Ahyoung Lee, and Seokhoon Kim |
교신저자 | Kim Seokhoon |
논문명 | Adaptive Resource Optimized Edge Federated Learning in Real-Time Image Sensing Classifications |
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게재지 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) |
저자 | Prohim Tam, Sa Math, Chaebeen Nam, and Seokhoon Kim |
교신저자 | Kim Seokhoon |
논문명 | Reliable Federated Learning Systems Based on Intelligent Resource Sharing Scheme for Big Data Internet of Things |
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게재지 | IEEE Access (2021) |
저자 | Sa Math, Prohim Tam, and Seokhoon Kim |
교신저자 | Kim Seokhoon |
논문명 | Intelligent Massive Traffic Handling Scheme in 5G Bottleneck Backhaul Networks |
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게재지 | KSII Transactions on Internet and Information Systems (2021) |
저자 | Prohim Tam, Sa Math, and Seokhoon Kim |
교신저자 | Seokhoon Kim |
논문명 | Intelligent Real-Time IoT Traffic Steering in 5G Edge Networks |
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게재지 | Computers, Materials & Continua (2021) |
저자 | Sa Math, Prohim Tam, and Seokhoon Kim |
교신저자 | Seokhoon Kim |
논문명 | An Efficient Software Defined Data Transmission Scheme based on Mobile Edge Computing for the Massive IoT Environment |
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게재지 | KSII Transactions on Internet and Information Systems (2018) |
저자 | EunGyeong Kim and Seokhoon Kim |
교신저자 | Seokhoon Kim |
논문명 | An Intelligent Real-Time Traffic Control Based on Mobile Edge Computing for Individual Private Environment |
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게재지 | Security and Communication Networks (2020) |
저자 | Math Sa, Lejun Zhang, Kim Seokhoon, and Intae Ryoo |
교신저자 | Kim Seokhoon |
논문명 | A NB-IoT data transmission scheme based on dynamic resource sharing of MEC for effective convergence computing |
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게재지 | Personal and Ubiquitous Computing (2020) |
저자 | Math Sa, Prohim Tam, Ahyoung Lee, and Kim Seokhoon |
교신저자 | Kim Seokhoon |