A hybrid integrated deep learning model for the prediction of citywide spatio-temporal flow volumes
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DOI: 10.1080/13658816.2019.1652303
Abstract: ABSTRACT The spatio-temporal residual network (ST-ResNet) leverages the power of deep learning (DL) for predicting the volume of citywide spatio-temporal flows. However, this model, neglects the dynamic dependency of the input flows in the temporal… read more here.
Keywords: spatio temporal; deep learning; hybrid integrated; model ... See more keywords