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Applied Sciences
Volume 13
Issue 18
10.3390/app131810192
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Journal: Appl. Sci., 2023
Volume: 13
Number: 10192

Article: Taxi Demand and Fare Prediction with Hybrid Models: Enhancing Efficiency and User Experience in City Transportation
Authors: by Ka Seng Chou, Kei Long Wong, Boliang Zhang, Davide Aguiari, Sio Kei Im, Chan Tong Lam, Rita Tse, Su-Kit Tang and Giovanni Pau
Link: https://www.mdpi.com/2076-3417/13/18/10192

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