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Using Spatio-temporal Deep Learning for Forecasting Demand and
  Supply-demand Gap in Ride-hailing System with Anonymised Spatial Adjacency
  Information

Using Spatio-temporal Deep Learning for Forecasting Demand and Supply-demand Gap in Ride-hailing System with Anonymised Spatial Adjacency Information

16 December 2020
Md. Hishamur Rahman
S. Rifaat
ArXivPDFHTML

Papers citing "Using Spatio-temporal Deep Learning for Forecasting Demand and Supply-demand Gap in Ride-hailing System with Anonymised Spatial Adjacency Information"

2 / 2 papers shown
Title
Fairness-enhancing deep learning for ride-hailing demand prediction
Fairness-enhancing deep learning for ride-hailing demand prediction
Yunhan Zheng
Qingyi Wang
Dingyi Zhuang
Shenhao Wang
Jinhua Zhao
36
11
0
10 Mar 2023
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
201
7,884
0
13 Jun 2015
1