HCP: Heterogeneous Computing Platform for Federated Learning Based Collaborative Content Caching Towards 6G Networks von Md. Fadlullah, Zubair, 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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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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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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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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DL-CRC: Deep Learning-Based Chest Radiograph Classification for COVID-19 Detection: A Novel Approach von Sakib, Sadman, Tazrin, Tahrat, Fouda, Mostafa M., Fadlullah, Zubair Md, Guizani, Mohsen

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Cross-Layer Data Delivery in Satellite-Aerial-Terrestrial Communication von Shi, Yongpeng, Liu, Jiajia, Fadlullah, Zubair Md, 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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GT-QoSec: A Game-Theoretic Joint Optimization of QoS and Security for Differentiated Services in Next Generation Heterogeneous Networks von Fadlullah, Zubair Md, Chao Wei, Zhiguo Shi, Kato, Nei

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A Deep Learning Method for Predictive Channel Assignment in Beyond 5G Networks von Sakib, Sadman, Tazrin, Tahrat, Fouda, Mostafa M., Fadlullah, Zubair Md, Nasser, Nidal

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On the Partially Overlapped Channel Assignment on Wireless Mesh Network Backbone: A Game Theoretic Approach von Duarte, P. B. F., Fadlullah, Z. M., Vasilakos, A. V., Kato, N.

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Energy-Aware Hybrid RF-VLC Multiband Selection in D2D Communication: A Stochastic Multiarmed Bandit Approach von Hashima, Sherief, Fouda, Mostafa M., Sakib, Sadman, Fadlullah, Zubair Md, Hatano, Kohei, Mohamed, Ehab Mahmoud, Shen, Xuemin

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Advancing Malaria Identification from Microscopic Blood Smears Using Hybrid Deep Learning Frameworks von Dev, Antora, Fouda, Mostafa M., Kerby, Leslie, Fadlullah, Zubair Md

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An Efficient and Lightweight Predictive Channel Assignment Scheme for Multiband B5G-Enabled Massive IoT: A Deep Learning Approach von Sakib, Sadman, Tazrin, Tahrat, Fouda, Mostafa M., Fadlullah, Zubair Md, Nasser, Nidal

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A Proof-of-Concept of Ultra-Edge Smart IoT Sensor: A Continuous and Lightweight Arrhythmia Monitoring Approach von Sakib, Sadman, Fouda, Mostafa M., Fadlullah, Zubair Md, Nasser, Nidal, Alasmary, Waleed

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Internet of Things for smart living von Pathan, Al-Sakib Khan, Fadlullah, Zubair Md, Choudhury, Salimur, Guerroumi, Mohamed

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Survival-Based Treatment Planning Using Stage-Specific Machine Learning Models von Farrag, Aya, Fadlullah, Zubair Md, Fouda, Mostafa M., Almalki, Nabil Sharaf

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An Explainable AI System for Medical Image Segmentation With Preserved Local Resolution: Mammogram Tumor Segmentation von Farrag, Aya, Gad, Gad, Fadlullah, Zubair Md, Fouda, Mostafa M., Alsabaan, Maazen

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A Deep-Learning-Based Radio Resource Assignment Technique for 5G Ultra Dense Networks von Zhou, Yibo, Fadlullah, Zubair Md, Mao, Bomin, Kato, Nei

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Toward Fair Maximization of Energy Efficiency in Multiple UAS-Aided Networks: A Game-Theoretic Methodology von Abdulla, Ahmed E. A. A., Md Fadlullah, Zubair, Nishiyama, Hiroki, Kato, Nei, Ono, Fumie, Miura, Ryu

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