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LinkLab: A Scalable and Heterogeneous Testbed for Remotely Developing and Experimenting IoT Applications.

, , , and . IoTDI, page 176-188. IEEE, (2020)

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An Auction Scheme for Computing Resource Allocation in D2D-Assisted Mobile Edge Computing., , , and . GLOBECOM, page 1-6. IEEE, (2019)Queec: QoE-aware edge computing for complex IoT event processing under dynamic workloads., , , , , and . ACM TUR-C, page 30:1-30:5. ACM, (2019)Deep Reinforcement Learning for Offloading and Shunting in Hybrid Edge Computing Network., , , and . ICC Workshops, page 1-6. IEEE, (2021)LinkLab: A Scalable and Heterogeneous Testbed for Remotely Developing and Experimenting IoT Applications., , , and . IoTDI, page 176-188. IEEE, (2020)Learning-Function-Augmented Inferences of Causalities Implied in Health Data., , and . APWeb Workshops, volume 4977 of Lecture Notes in Computer Science, page 87-98. Springer, (2008)Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI., , , , , , , , , and 1 other author(s). CoRR, (2024)A Mobile Edge Computing Server Deployment Scheme in Wireless Mesh Network., , , and . ICCC Workshops, page 25-29. IEEE, (2019)Forecasting Electricity Demand by Hybrid Machine Learning Model., , , and . ICONIP (2), volume 4233 of Lecture Notes in Computer Science, page 952-963. Springer, (2006)Contrastive Learning-Based Breast Tumor Segmentation in DCE-MRI., , , , , , and . MLMI@MICCAI (1), volume 14348 of Lecture Notes in Computer Science, page 157-165. Springer, (2023)Beam-wise dose composition learning for head and neck cancer dose prediction in radiotherapy., , , , , , and . Medical Image Anal., (February 2024)