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CNN-LSTM and clustering-based spatial-temporal demand forecasting for on-demand ride services.
Memet Merhad Ay
Sinem Kulluk
Lale Özbakir
Burak Gülmez
Güney Öztürk
Sertay Özer
Published in:
Neural Comput. Appl. (2022)
Keyphrases
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spatial temporal
demand forecasting
historical data
action recognition
temporal information
spatio temporal
spatial and temporal
supply chain
video shots
information services
neural network
machine learning
similarity measure
spatial information
water resources
forecasting accuracy