Nei Kato(IEEE Fellow, IEICE Fellow)
Nei Kato(IEEE Fellow, IEICE Fellow)
Professor and Dean, Graduate School of Information Sciences, Tohoku University, Japan
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Citat de
Citat de
Space-air-ground integrated network: A survey
J Liu, Y Shi, ZM Fadlullah, N Kato
IEEE Communications Surveys & Tutorials 20 (4), 2714-2741, 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
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
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
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
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
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
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
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
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
Networking and communications in autonomous driving: A survey
J Wang, J Liu, N Kato
IEEE Communications Surveys & Tutorials 21 (2), 1243-1274, 2018
Relay-by-smartphone: realizing multihop device-to-device communications
H Nishiyama, M Ito, N Kato
IEEE Communications Magazine 52 (4), 56-65, 2014
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
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
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
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
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
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
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
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
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