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Understanding the Runtime Overheads of Deep Learning Inference on Edge Devices., , , , , and . ISPA/BDCloud/SocialCom/SustainCom, page 390-397. IEEE, (2021)A new active learning Kriging metamodel for structural system reliability analysis with multiple failure modes., , and . Reliab. Eng. Syst. Saf., (2022)New Kriging methods for efficient system slope reliability analysis considering soil spatial variability., and . Reliab. Eng. Syst. Saf., (2024)CPAHP: Conditional Privacy-Preserving Authentication Scheme With Hierarchical Pseudonym for 5G-Enabled IoV., , , , , , and . IEEE Trans. Veh. Technol., 72 (7): 8929-8940 (July 2023)Computation Rate Maximization for Intelligent Reflecting Surface Enhanced Wireless Powered Mobile Edge Computing Networks., , , , , , , and . IEEE Trans. Veh. Technol., 70 (10): 10820-10831 (2021)Joint Optimization of Security Strength and Resource Allocation for Computation Offloading in Vehicular Edge Computing., , , , , and . IEEE Trans. Wirel. Commun., 22 (12): 8751-8765 (December 2023)Lie group classifications and exact solutions for two variable-coefficient equations., , and . Appl. Math. Comput., 215 (8): 2927-2935 (2009)A new weighted fuzzy C-means clustering approach considering between-cluster separability., , , and . J. Intell. Fuzzy Syst., 40 (1): 1017-1024 (2021)An integrated spatial-temporal neural network for proactive throughput bottleneck prediction in high-variety shops with complex job routings., , , , , and . Int. J. Prod. Res., 61 (13): 4437-4449 (2023)Leader-Following Mean Square Consensus of Stochastic Multi-agent Systems via Periodically Intermittent Event-Triggered Control., , and . Neural Process. Lett., 53 (1): 275-298 (2021)