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Reinforced-LSTM Trajectory Prediction-Driven Dynamic Service Migration: A Case Study.

, , , , , , , , and . IEEE Trans. Netw. Sci. Eng., 9 (4): 2786-2802 (2022)

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Pedestrians Trajectory Prediction in Urban Environments., , , and . NetSys, page 1-8. IEEE, (2019)Reinforced-LSTM Trajectory Prediction-Driven Dynamic Service Migration: A Case Study., , , , , , , , and . IEEE Trans. Netw. Sci. Eng., 9 (4): 2786-2802 (2022)Mobile Users Location Prediction with Complex Behavior Understanding., , , and . LCN, page 323-326. IEEE, (2018)Pedestrians Complex Behavior Understanding and Prediction with Hybrid Markov Chain., , , and . WiMob, page 200-207. IEEE, (2018)Prediction Models to Enhance Location Based Services in Urban Areas.. University of Bern, Switzerland, (2020)base-search.net (ftunivbern:oai:boris.unibe.ch:149118).MTL-LSTM: Multi-Task Learning-based LSTM for Urban Traffic Flow Forecasting., , , , and . IWCMC, page 564-569. IEEE, (2021)RL-CNN: Reinforcement Learning-designed Convolutional Neural Network for Urban Traffic Flow Estimation., , , , and . IWCMC, page 29-34. IEEE, (2021)Improving Video Delivery with Fourier Analysis of Traffic in Multi-Access Edge Computing., , , and . WWIC, volume 11618 of Lecture Notes in Computer Science, page 209-221. Springer, (2019)Mobile crowd location prediction with hybrid features using ensemble learning., , , and . Future Gener. Comput. Syst., (2020)Reinforcement Learning-designed LSTM for Trajectory and Traffic Flow Prediction., , , , , , and . WCNC, page 1-6. IEEE, (2021)