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Autor:
Karimeh Ibrahim Mohammad Ata, Mohd Khair Hassan, Ayad Ghany Ismaeel, Syed Abdul Rahman Al-Haddad, Thamer Alquthami, Sameer Alani
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 12, Pp 103045- (2024)
Traffic flow prediction remains a cornerstone for intelligent transportation systems (ITS), influencing both route optimization and environmental efforts. While Recurrent Neural Networks (RNN) and traditional Convolutional Neural Networks (CNN) offer
Externí odkaz:
https://doaj.org/article/1325b31f720e4ecfb85901e8210a30c0