Space-air-ground integrated network: A survey J Liu, Y Shi, ZM Fadlullah, N Kato IEEE Communications Surveys & Tutorials 20 (4), 2714-2741, 2018 | 906 | 2018 |
State-of-the-art deep learning: Evolving machine intelligence toward tomorrow’s intelligent network traffic control systems ZM Fadlullah, F Tang, B Mao, N Kato, O Akashi, T Inoue, K Mizutani IEEE Communications Surveys & Tutorials 19 (4), 2432-2455, 2017 | 897 | 2017 |
A survey of routing attacks in mobile ad hoc networks B Kannhavong, H Nakayama, Y Nemoto, N Kato, A Jamalipour IEEE Wireless communications 14 (5), 85-91, 2007 | 758 | 2007 |
Device-to-device communication in LTE-advanced networks: A survey J Liu, N Kato, J Ma, N Kadowaki IEEE Communications Surveys & Tutorials 17 (4), 1923-1940, 2014 | 739 | 2014 |
Toward intelligent machine-to-machine communications in smart grid ZM Fadlullah, MM Fouda, N Kato, A Takeuchi, N Iwasaki, Y Nozaki IEEE Communications Magazine 49 (4), 60-65, 2011 | 703 | 2011 |
Detecting blackhole attack on AODV-based mobile ad hoc networks by dynamic learning method. S Kurosawa, H Nakayama, N Kato, A Jamalipour, Y Nemoto Int. J. Netw. Secur. 5 (3), 338-346, 2007 | 651 | 2007 |
6G: Opening new horizons for integration of comfort, security, and intelligence G Gui, M Liu, F Tang, N Kato, F Adachi IEEE Wireless Communications 27 (5), 126-132, 2020 | 601 | 2020 |
A stable routing protocol to support ITS services in VANET networks T Taleb, E Sakhaee, A Jamalipour, K Hashimoto, N Kato, Y Nemoto IEEE Transactions on Vehicular technology 56 (6), 3337-3347, 2007 | 568 | 2007 |
Future intelligent and secure vehicular network toward 6G: Machine-learning approaches F Tang, Y Kawamoto, N Kato, J Liu Proceedings of the IEEE 108 (2), 292-307, 2019 | 547 | 2019 |
A lightweight message authentication scheme for smart grid communications MM Fouda, ZM Fadlullah, N Kato, R Lu, XS Shen IEEE Transactions on Smart grid 2 (4), 675-685, 2011 | 529 | 2011 |
Relay-by-smartphone: realizing multihop device-to-device communications H Nishiyama, M Ito, N Kato IEEE Communications Magazine 52 (4), 56-65, 2014 | 463 | 2014 |
Networking and communications in autonomous driving: A survey J Wang, J Liu, N Kato IEEE Communications Surveys & Tutorials 21 (2), 1243-1274, 2018 | 461 | 2018 |
The deep learning vision for heterogeneous network traffic control: Proposal, challenges, and future perspective N Kato, ZM Fadlullah, B Mao, F Tang, O Akashi, T Inoue, K Mizutani IEEE wireless communications 24 (3), 146-153, 2016 | 444 | 2016 |
A survey on network methodologies for real-time analytics of massive IoT data and open research issues S Verma, Y Kawamoto, ZM Fadlullah, H Nishiyama, N Kato IEEE Communications Surveys & Tutorials 19 (3), 1457-1477, 2017 | 441 | 2017 |
Smart resource allocation for mobile edge computing: A deep reinforcement learning approach J Wang, L Zhao, J Liu, N Kato IEEE Transactions on emerging topics in computing 9 (3), 1529-1541, 2019 | 408 | 2019 |
Hybrid method for minimizing service delay in edge cloud computing through VM migration and transmission power control TG Rodrigues, K Suto, H Nishiyama, N Kato IEEE Transactions on Computers 66 (5), 810-819, 2016 | 391 | 2016 |
Routing or computing? The paradigm shift towards intelligent computer network packet transmission based on deep learning B Mao, ZM Fadlullah, F Tang, N Kato, O Akashi, T Inoue, K Mizutani IEEE Transactions on Computers 66 (11), 1946-1960, 2017 | 366 | 2017 |
Optimizing space-air-ground integrated networks by artificial intelligence N Kato, ZM Fadlullah, F Tang, B Mao, S Tani, A Okamura, J Liu IEEE Wireless Communications 26 (4), 140-147, 2019 | 362 | 2019 |
Ten challenges in advancing machine learning technologies toward 6G N Kato, B Mao, F Tang, Y Kawamoto, J Liu IEEE Wireless Communications 27 (3), 96-103, 2020 | 360 | 2020 |
A handwritten character recognition system using directional element feature and asymmetric Mahalanobis distance N Kato, M Suzuki, S Omachi, H Aso, Y Nemoto IEEE transactions on pattern analysis and machine intelligence 21 (3), 258-262, 1999 | 351 | 1999 |