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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The Roadmap of Communication and Networking in 6G for the Metaverse von Tang, Fengxiao, Chen, Xuehan, Zhao, Ming, 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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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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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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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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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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Reinforcement Learning-Based Radio Resource Control in 5G Vehicular Network von Zhou, Yibo, Tang, Fengxiao, Kawamoto, Yuichi, 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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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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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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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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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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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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Ten Challenges in Advancing Machine Learning Technologies toward 6G von Kato, Nei, Mao, Bomin, Tang, Fengxiao, Kawamoto, Yuichi, Liu, Jiajia

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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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Federated Reinforcement Learning-Based Resource Allocation in D2D-Enabled 6G von Guo, Qi, Tang, Fengxiao, Kato, Nei

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