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Machine Learning Based Edge-Assisted UAV Computation Offloading for Data Analyzing.

, , and . ICOIN, page 117-120. IEEE, (2020)

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Latency-sensitive Service Delivery with UAV-Assisted 5G Networks., , , , , and . CoRR, (2020)Co-MAC: Energy Efficient MAC Protocol for Large-Scale Sensor Networks., , and . ITC, volume 4516 of Lecture Notes in Computer Science, page 1072-1083. Springer, (2007)An Efficient Resource Sharing Model for Multi-UAV-Assisted Wireless Networks., , , , and . APNOMS, page 390-393. IEEE, (2021)Machine Learning Based Edge-Assisted UAV Computation Offloading for Data Analyzing., , and . ICOIN, page 117-120. IEEE, (2020)Optimal Task-UAV-Edge Matching for Computation Offloading in UAV Assisted Mobile Edge Computing., and . APNOMS, page 1-4. IEEE, (2019)Open RAN Embracing Continual Learning: Towards NextG Adaptive Traffic Analysis., , , , and . NOMS, page 1-7. IEEE, (2024)Dynamic Motion Generation by Flexible-Joint Robot based on Deep Learning using Images., , , , , , and . ICDL-EPIROB, page 169-174. IEEE, (2018)Tool-Use Model Considering Tool Selection by a Robot Using Deep Learning., , , , and . Humanoids, page 270-276. IEEE, (2018)On-Device Computational Caching-Enabled Augmented Reality for 5G and Beyond: A Contract-Theory-Based Incentive Mechanism., , , , , and . IEEE Internet Things J., 8 (24): 17382-17394 (2021)Collaboration in the Sky: A Distributed Framework for Task Offloading and Resource Allocation in Multi-Access Edge Computing., , , , , and . CoRR, (2021)