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FedSTN: Graph Representation Driven Federated Learning for Edge Computing Enabled Urban Traffic Flow Prediction., , , , , , и . IEEE Trans. Intell. Transp. Syst., 24 (8): 8738-8748 (августа 2023)Heterogeneous Association Graph Fusion for Target Association in Multiple Object Tracking., , , , и . IEEE Trans. Circuits Syst. Video Technol., 29 (11): 3269-3280 (2019)THUE: Discovering Top-K High Utility Episodes., , , , и . CoRR, (2021)Post quantum proxy signature scheme based on the multivariate public key cryptographic signature., , , , , , и . Int. J. Distributed Sens. Networks, (2020)Itemset Utility Maximization with Correlation Measure., , , , и . CoRR, (2022)A Trusted Service Selection Method Based on User's Personality Feature and Service Recommendation., , и . WISA, стр. 267-272. IEEE, (2017)Adaptive Spatio-temporal Model Based Multiple Object Tracking in Video Sequences Considering a Moving Camera., , , , и . UV, стр. 1-6. IEEE, (2018)An Advanced Q-Learning Model for Multi-agent Negotiation in Real-Time Bidding., , , , , и . WISA, том 12432 из Lecture Notes in Computer Science, стр. 491-502. Springer, (2020)An Efficient Digital Twin Assisted Clustered Federated Learning Algorithm for Disease Prediction., , , , , и . VTC Spring, стр. 1-6. IEEE, (2022)Discovering Top-k Profitable Patterns for Smart Manufacturing., , , , и . WWW (Companion Volume), стр. 956-964. ACM, (2022)