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  • Wang F, Zhu M, Wang M, et al. 6G-enabled short-term forecasting for large-scale traffic flow in massive IoT based on time-aware Locality-Sensitive Hashing[J]. IEEE Internet of Things Journal, 2020, 8(7): 5321-5331. Link
  • Xu T, Han G, Qi X, et al. A hybrid machine learning model for demand prediction of edge-computing-based bike-sharing system using internet of things[J]. IEEE Internet of Things Journal, 2020, 7(8): 7345-7356. Link
  • Zhou F, Yang Q, Zhang K, et al. Reinforced Spatio-Temporal Attentive Graph Neural Networks for Traffic Forecasting[J]. IEEE Internet of Things Journal, 2020. Link
  • Sutjarittham T, Gharakheili H H, Kanhere S S, et al. Monetizing Parking IoT Data via Demand Prediction and Optimal Space Sharing[J]. IEEE Internet of Things Journal, 2020. Link
  • Liu Y, James J Q, Kang J, et al. Privacy-preserving traffic flow prediction: A federated learning approach[J]. IEEE Internet of Things Journal, 2020, 7(8): 7751-7763. Link Code
  • Zhou F, Yang Q, Zhang K, et al. Reinforced Spatiotemporal Attentive Graph Neural Networks for Traffic Forecasting[J]. IEEE Internet of Things Journal, 2020, 7(7): 6414-6428. Link