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Zhao, Zhongliang; Karimzadeh Motallebiazar, Mostafa; Pacheco, Lucas; Melo dos Santos, Hugo Leonardo; Rosario, Denis; Braun, Torsten; Cerqueira, Eduardo (2020). 5G UDN Proactive Handover with Transferable Reinforcement Learning-based Trajectory Prediction (Submitted). IEEE journal on selected areas in communications IEEE
Zhao, Zhongliang; Guardalben, Lucas; Karimzadeh Motallebiazar, Mostafa; Silva, Jose; Braun, Torsten; Sargento, Susana (2018). Mobility Prediction-Assisted Over-The-Top Edge Prefetching for Hierarchical VANETs. IEEE journal on selected areas in communications, 36(8), p. 1. IEEE 10.1109/JSAC.2018.2844681
Zhao, Zhongliang; Karimzadeh Motallebiazar, Mostafa; Gerber, Florian; Braun, Torsten (2018). Mobile Crowd Location Prediction with Hybrid Features using Ensemble Learning. Future Generation Computer Systems, 110, pp. 556-571. Elsevier 10.1016/j.future.2018.06.025
Schiller, Eryk Jerzy; Röthlisberger, Remo; Braun, Torsten; Karimzadeh Motallebiazar, Mostafa (17 June 2019). Improving Video Delivery with Fourier Analysis of Traffic in Multi-Access Edge Computing. Lecture notes in computer science, 11618, pp. 209-221. Springer 10.1007/978-3-030-30523-9_17
Karimzadeh Motallebiazar, Mostafa; Zhao, Zhongliang; Gerber, Florian; Braun, Torsten (4 October 2018). Mobile Users Location Prediction with Complex Behavior Understanding. In: IEEE Conference on Local Computer Networks (IEEE LCN). Chicago, USA. October 1-4, 2018. 10.1109/LCN.2018.8638045
Karimzadeh Motallebiazar, Mostafa; Zhao, Zhongliang; Gerber, Florian; Braun, Torsten (20 August 2018). Pedestrians Complex Behavior Understanding and Prediction with Hybrid Markov Chain. In: The Eleventh International Workshop on Selected Topics in Wireless and Mobile computing (STWiMob-2018).
Karimzadeh Motallebiazar, Mostafa; Mariano de Souza, Allan; Zhao, Zhongliang; Braun, Torsten; Villas, Leandro; Sargento, Susana; Loureiro, Antonio A. F. (2020). Intelligent Safety Message Dissemination with Vehicle Trajectory Density Predictions in VANETs (Submitted) IEEE Transactions on Vehicular Technology Special Issue on Vehicular Networks in the era of 6G: IEEE
