Federated deep reinforcement learning for privacy-preserving offloading in vehicular edge computing. [PDF]
Sci RepMomani AM +6 more
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Communication resource allocation method in vehicular networks based on federated multi-agent deep reinforcement learning. [PDF]
Sci RepLiu Q, Ma Y.
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Integrated Sensing and Communication for 6G V2X Networks: A Comprehensive Survey of Architectures, Security, and Multi-Modal AI. [PDF]
Sensors (Basel)Şen F, Basgumus A, Namdar M.
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Vehicle Autonomy to Ecosystem Intelligence: A Systematic Review of Dynamic Vision Architectures in Surface Mining Operations. [PDF]
Sensors (Basel)Anti NYD, Frimpong S, Raza MA.
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Online-Tuned Fuzzy Pre-Filtering with an Attention BiLSTM for Misbehavior Detection in Vehicular Named Data Networking. [PDF]
Sensors (Basel)Aldahlan B.
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Scalable cooperative lane-change management for connected autonomous vehicles using MPC-based decision coordination. [PDF]
Sci RepKouhi H, Schildbach G.
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Machine learning for improved path loss prediction in urban vehicle-to-infrastructure communication systems. [PDF]
Front Artif IntellBen Ameur M +3 more
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Deep Learning-Based Channel Estimation Techniques Using IEEE 802.11p Protocol, Limitations of IEEE 802.11p and Future Directions of IEEE 802.11bd: A Review. [PDF]
Sensors (Basel)Bai S, Kilby J, Prasad K.
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DRLO-VANET: a deep reinforcement learning-based offloading framework for low-latency and energy-efficient task execution in VANETs. [PDF]
Sci RepNeelima S, Sree SR, Ramakrishnaiah N.
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Road-Related Event Detection and Dissemination Through 5G-Based Vehicle-to-Network-to-Everything Communications. [PDF]
Sensors (Basel)Campolo C +6 more
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