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Solving the last mile problem in logistics: A mobile edge computing and blockchain-based unmanned aerial vehicle delivery system.

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Which Process Metrics Are Significantly Important to Change of Defects in Evolving Projects: An Empirical Study., , , , and . IEEE Access, (2020)Solving the last mile problem in logistics: A mobile edge computing and blockchain-based unmanned aerial vehicle delivery system., , , , , , , , and . Concurr. Comput. Pract. Exp., (2022)Mobility-Aware Workflow Offloading and Scheduling Strategy for Mobile Edge Computing., , , , , , and . ICA3PP (2), volume 11945 of Lecture Notes in Computer Science, page 184-199. Springer, (2019)Empirical Evaluation of the Impact of Class Overlap on Software Defect Prediction., , , and . ASE, page 698-709. IEEE, (2019)MFF-Trans: Multi-level Feature Fusion Transformer for Fine-Grained Visual Classification., , and . APWeb/WAIM (3), volume 14333 of Lecture Notes in Computer Science, page 220-234. Springer, (2023)PointSee: Image Enhances Point Cloud., , , , , , , and . IEEE Trans. Vis. Comput. Graph., 30 (9): 6291-6308 (September 2024)UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration., , , , , , , and . CoRR, (2022)Tackling Class Imbalance Problem in Software Defect Prediction Through Cluster-Based Over-Sampling With Filtering., , and . IEEE Access, (2019)SEGCN: Structural Enhancement Graph Clustering Network., , , and . APWeb-WAIM (1), volume 14331 of Lecture Notes in Computer Science, page 174-190. Springer, (2023)Conditional Domain Adversarial Adaptation for Heterogeneous Defect Prediction., , and . IEEE Access, (2020)