The Roadmap of Communication and Networking in 6G for the Metaverse von Tang, Fengxiao, Chen, Xuehan, Zhao, Ming, Kato, Nei

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6G: Opening New Horizons for Integration of Comfort, Security, and Intelligence von Gui, Guan, Liu, Miao, Tang, Fengxiao, Kato, Nei, Adachi, Fumiyuki

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Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches von Tang, Fengxiao, Kawamoto, Yuichi, Kato, Nei, Liu, Jiajia

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Deep Reinforcement Learning for Dynamic Uplink/Downlink Resource Allocation in High Mobility 5G HetNet von Tang, Fengxiao, Zhou, Yibo, Kato, Nei

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Optimizing Computation Offloading in Satellite-UAV-Served 6G IoT: A Deep Learning Approach von Mao, Bomin, Tang, Fengxiao, Kawamoto, Yuichi, Kato, Nei

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Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence von Kato, Nei, Fadlullah, Zubair Md, Tang, Fengxiao, Mao, Bomin, Tani, Shigenori, Okamura, Atsushi, Liu, Jiajia

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The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective von Kato, Nei, Fadlullah, Zubair Md, Mao, Bomin, Tang, Fengxiao, Akashi, Osamu, Inoue, Takeru, Mizutani, Kimihiro

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A Deep Reinforcement Learning-Based Dynamic Traffic Offloading in Space-Air-Ground Integrated Networks (SAGIN) von Tang, Fengxiao, Hofner, Hans, Kato, Nei, Kaneko, Kazuma, Yamashita, Yasutaka, Hangai, Masatake

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Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning von Bomin Mao, Fadlullah, Zubair Md, Fengxiao Tang, Kato, Nei, Akashi, Osamu, Inoue, Takeru, Mizutani, Kimihiro

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On Removing Routing Protocol from Future Wireless Networks: A Real-time Deep Learning Approach for Intelligent Traffic Control von Fengxiao Tang, Bomin Mao, Fadlullah, Zubair Md, Kato, Nei, Akashi, Osamu, Inoue, Takeru, Mizutani, Kimihiro

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A deep learning-based framework for detecting COVID-19 patients using chest X-rays von Asif, Sohaib, Zhao, Ming, Tang, Fengxiao, Zhu, Yusen

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An Intelligent Traffic Load Prediction-Based Adaptive Channel Assignment Algorithm in SDN-IoT: A Deep Learning Approach von Tang, Fengxiao, Fadlullah, Zubair Md, Mao, Bomin, Kato, Nei

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Reinforcement Learning-Based Radio Resource Control in 5G Vehicular Network von Zhou, Yibo, Tang, Fengxiao, Kawamoto, Yuichi, Kato, Nei

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Survey on Digital Twin Edge Networks (DITEN) Toward 6G von Tang, Fengxiao, Chen, Xuehan, Rodrigues, Tiago Koketsu, Zhao, Ming, Kato, Nei

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Value Iteration Architecture Based Deep Learning for Intelligent Routing Exploiting Heterogeneous Computing Platforms von Fadlullah, Zubair Md, Mao, Bomin, Tang, Fengxiao, Kato, Nei

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On Intelligent Traffic Control for Large-Scale Heterogeneous Networks: A Value Matrix-Based Deep Learning Approach von Md. Fadlullah, Zubair, Tang, Fengxiao, Mao, Bomin, Liu, Jiajia, Kato, Nei

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AI-Based Approaches for the Diagnosis of Mpox: Challenges and Future Prospects von Asif, Sohaib, Zhao, Ming, Li, Yangfan, Tang, Fengxiao, Ur Rehman Khan, Saif, Zhu, Yusen

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Ten Challenges in Advancing Machine Learning Technologies toward 6G von Kato, Nei, Mao, Bomin, Tang, Fengxiao, Kawamoto, Yuichi, Liu, Jiajia

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ST-DeLTA: A Novel Spatial-Temporal Value Network Aided Deep Learning Based Intelligent Network Traffic Control System von Tang, Fengxiao, Mao, Bomin, Fadlullah, Zubair Md, Liu, Jiajia, Kato, Nei

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Federated Reinforcement Learning-Based Resource Allocation for D2D-Aided Digital Twin Edge Networks in 6G Industrial IoT von Guo, Qi, Tang, Fengxiao, Kato, Nei

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