Vehicle-to-everything decision optimization and cloud control based on deep reinforcement learning. [PDF]
Gao Z, Liu D, Zheng C.
europepmc +1 more source
Drivers of vehicle-to-everything (V2X) adoption: A behavioral reasoning theory perspective. [PDF]
Arpaci I, Al-Sharafi MA, Mahmoud MA.
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Context-Aware Beam Selection for IRS-Assisted mmWave V2I Communications. [PDF]
Suarez Del Valle R, Kose A, Lee H.
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AI-Driven Cybersecurity in IoT-Based Systems. [PDF]
Zhao W, Wang P.
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BHFVAL: Block chain-Enabled Hierarchical Federated Variational Auto encoder Framework for Secure Intrusion Detection in Vehicular Networks. [PDF]
Visuvanathan GE, Sayeed MS, Yogarayan S.
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Blockchain driven trust management for intelligent transportation systems in VANETs. [PDF]
V H, P V, Chang E.
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CPD-KD: a cooperative perception network for discrepancy feature fusion through knowledge distillation. [PDF]
He C +5 more
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Adaptive Damping Log-Domain Message-Passing Algorithm for FTN-OTFS in V2X Communications. [PDF]
Xu H, Zhang C, Wu Q, Ng BK, Lam CT.
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Analyzing Mega-mobility Systems in Smart Cities: A Macro-Micro Integration with Feedback Paradigm Empowered by Artificial Intelligence. [PDF]
Wang Z +10 more
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Resource Allocation and Trajectory Planning in Integrated Sensing and Communication Enabled UAV-Assisted Vehicular Network. [PDF]
Song M, Zhang W, Bai J.
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