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SSGCRTN: a space-specific graph convolutional recurrent transformer network for traffic prediction
S Yang, Q Wu, Y Wang, T Lin - Applied Intelligence, 2024 - Springer
Current research often formalizes traffic prediction tasks as spatio-temporal graph modeling
problems. Despite some progress, this approach still has the following limitations. First …
problems. Despite some progress, this approach still has the following limitations. First …
[HTML][HTML] Binary Encoding-Based Federated Learning for Traffic Sign Recognition in Autonomous Driving
Y Wen, Y Zhou, K Gao - Mathematics, 2024 - mdpi.com
Autonomous driving involves collaborative data sensing and traffic sign recognition.
Emerging artificial intelligence technology has brought tremendous advances to vehicular …
Emerging artificial intelligence technology has brought tremendous advances to vehicular …