1. Advances in Intelligent Systems and Computing;K-HN Bui,2016
2. Cao, D., et al.: Spectral temporal graph neural network formultivariate time-series forecasting. In: Proceedings of the 33rd Annual Conference on Neural Information Processing Systems (NeurIPS) (2020)
3. Chopde, N.R., Nichat, M.K.: Landmark based shortest path detection by using a* and haversine formula. Int. J. Innov. Res. Comput. Commun. Eng 1(2), 298–302 (2013)
4. Cui, Z., Henrickson, K., Ke, R., Wang, Y.: Traffic graph convolutional recurrent neural network: a deep learning framework for network-scale traffic learning and forecasting. IEEE Trans. Intell. Transp. Syst (2020). https://doi.org/10.1109/TITS.2019.2950416, (Early Access)
5. Danilowicz, C., Nguyen, N.T.: Consensus-based methods for restoring consistency of replicated data. Intell. Inf. Syst 4, 325–335 (2000)