Faculty of Applied Sciences Researcher Publishes New Data on Applied Sciences (Taxi Demand and Fare Prediction with Hybrid Models: Enhancing Efficiency and User Experience in City Transportation)

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Period4 Oct 2023

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Media coverage

  • TitleFaculty of Applied Sciences Researcher Publishes New Data on Applied Sciences (Taxi Demand and Fare Prediction with Hybrid Models: Enhancing Efficiency and User Experience in City Transportation)
    Media name/outletNewsRx Science Daily
    Country/TerritoryUnited States
    Date4/10/23
    PersonsSU KIT TANG, CHAN TONG LAM, KA SENG CHOU, SIO KEI IM, TAN SIM TSE, KEI LONG WONG
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