受强制性开放获取政策约束的文章 - Yang Li了解详情
无法在其他位置公开访问的文章：10 篇
A cross-layer defense scheme for edge intelligence-enabled CBTC systems against MitM attacks
Y Li, L Zhu, H Wang, FR Yu, S Liu
IEEE Transactions on Intelligent Transportation Systems 22 (4), 2286-2298, 2020
强制性开放获取政策： 国家自然科学基金委员会
Cross-layer defense methods for jamming-resistant CBTC systems
L Zhu, Y Li, FR Yu, B Ning, T Tang, X Wang
IEEE Transactions on Intelligent Transportation Systems 22 (11), 7266-7278, 2020
强制性开放获取政策： 国家自然科学基金委员会
Markov game for securing wide-area damping control against false data injection attacks
S Liu, I Zenelis, Y Li, X Wang, Q Li, L Zhu
IEEE Systems Journal 15 (1), 1356-1365, 2020
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
Joint security and resources allocation scheme design in edge intelligence enabled CBTCs: a two-level game theoretic approach
Y Li, L Zhu, H Wang, FR Yu, T Tang, D Zhang
IEEE Transactions on Intelligent Transportation Systems, 2023
强制性开放获取政策： 国家自然科学基金委员会
Incomplete information stochastic game theoretic vulnerability management for wide-area damping control against cyber attacks
Q Li, Y Li, S Liu, X Wang, H Chaoui
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 12 (1 …, 2022
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
A Bayesian game based defense scheme for CBTC systems under Man-in-the-middle attacks
Y Li, L Zhu
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2172-2176, 2019
强制性开放获取政策： 国家自然科学基金委员会
Enhancing dependability analysis provisioning in CBTC wireless communication system with age of information
X Wang, Y Li, T Jing, Y Huo, T Tang
IEEE Transactions on Vehicular Technology 71 (2), 1617-1630, 2021
强制性开放获取政策： 国家自然科学基金委员会
A potential game based offloading scheme for edge computing-enabled automatic train operation systems
S Wei, L Zhu, Y Li, H Liang
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
强制性开放获取政策： 国家自然科学基金委员会
Computation resource optimization for large-scale intelligent urban rail transit: A mean-field game approach
Y Li, L Zhu, J Wu, H Wang, FR Yu
IEEE Transactions on Vehicular Technology 72 (8), 9868-9879, 2023
强制性开放获取政策： 国家自然科学基金委员会
A deep reinforcement learning based resource allocation method for urban rail transit cloud systems
Z Li, L Zhu, Y Li, H Liang, H Wang
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
强制性开放获取政策： 国家自然科学基金委员会
可在其他位置公开访问的文章：1 篇
A neural fictitious self‐play anti‐jamming strategy for secondary frequency control in microgrids with imperfect observations
Y Li, S Liu, L Zhu, B Chen
International Journal of Robust and Nonlinear Control, 2023
强制性开放获取政策： 国家自然科学基金委员会
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