1. Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G. S., Davis, A., Dean, J., Devin, M., Ghemawat, S., Goodfellow, I., Harp, A., Irving, G., Isard, M., Jia, Y., Jozefowicz, R., Kaiser, L., Kudlur, M., … Research, G. (2016). TensorFlow: Large-scale machine learning on heterogeneous distributed systems. ArXiv Preprint. www.tensorflow.org.
2. CNN-LSTM and clustering-based spatial–temporal demand forecasting for on-demand ride services;Ay;Neural Computing and Applications,2022
3. Distribution of residual autocorrelations in autoregressive-integrated moving average time series models;Box;Journal of the American Statistical Association,1970
4. Short-term prediction of demand for ride-hailing services: A deep learning approach;Chen;Journal of Big Data Analytics in Transportation,2021