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References:
| # | Relevance | Title | BibTeX citation |
|---|
| 1 | IoV, Prediction | Abbas, M.T., Muhammad, A. and Song, W.C., 2019. Road-aware estimation model for path duration in Internet of vehicles (IoV). Wireless Personal Communications, 109(2), pp.715-738. | cite  . |
| 2 | IoV, Prediction | Abbas, M.T., Jibran, M.A., Afaq, M. and Song, W.C., 2020. An adaptive approach to vehicle trajectory prediction using multimodel Kalman filter. Transactions on Emerging Telecommunications Technologies, 31(5), p.e3734. | cite . |
| 3 | IoV, Prediction | Abbas, M.T., Muhammad, A. and Song, W.C., 2020. SD-IoV: SDN enabled routing for internet of vehicles in road-aware approach. Journal of Ambient Intelligence and Humanized Computing, 11(3), pp.1265-1280. | cite . |
| 4 | RSU, MEC | Wang, X., Han, Y., Leung, V.C., Niyato, D., Yan, X. and Chen, X., 2020. Convergence of edge computing and deep learning: A comprehensive survey. IEEE Communications Surveys & Tutorials, 22(2), pp.869-904. | cite . |
| 5 | RSU, MEC | Ndikumana, A., Tran, N.H., Kim, K.T. and Hong, C.S., 2020. Deep Learning Based Caching for Self-Driving Cars in Multi-Access Edge Computing. IEEE Transactions on Intelligent Transportation Systems. | cite . |