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6,960 results on '"mobile edge computing"'

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1. A Computation Offloading Strategy for the Large-Scale Disaster Scenario

2. ARPMEC: an adaptive mobile edge computing-based routing protocol for IoT networks.

3. A new approach to joint resource management in MEC-IoT based federated meta-learning.

4. Edge computing collaborative offloading strategy for space‐air‐ground integrated networks.

5. A Distributed Deadlock-Free Task Offloading Algorithm for Integrated Communication–Sensing–Computing Satellites with Data-Dependent Constraints.

6. Efficient microservices offloading for cost optimization in diverse MEC cloud networks.

7. Locality-aware virtual machine placement based on similarity properties in mobile edge computing.

8. A mobility-aware task scheduling by hybrid PSO and GA for mobile edge computing.

9. Differential Privacy-Based Location Privacy Protection for Edge Computing Networks.

10. Privacy‐preserving task offloading in mobile edge computing: A deep reinforcement learning approach.

11. Data privacy protection model based on blockchain in mobile edge computing.

12. A novel forgery classification method based on multi‐scale feature capsule network in mobile edge computing.

13. PD‐Gait: Contactless and privacy‐preserving gait measurement of Parkinson's disease patients using acoustic signals.

14. Constraint‐aware and multi‐objective optimization for micro‐service composition in mobile edge computing.

15. A deep learning based approach for image retrieval extraction in mobile edge computing.

16. Unmanned aerial vehicle-enabled edge computing: architecture, multiple access and computation offloading.

17. Decentralized Mechanism for Edge Node Allocation in Access Network: An Experimental Evaluation.

18. A Task Offloading and Resource Allocation Strategy Based on Multi-Agent Reinforcement Learning in Mobile Edge Computing.

19. SharpEdge: A QoS‐driven task scheduling scheme with blockchain in mobile edge computing.

20. DRL‐based computing offloading approach for large‐scale heterogeneous tasks in mobile edge computing.

21. Multi-Agent Deep Reinforcement Learning Based Dynamic Task Offloading in a Device-to-Device Mobile-Edge Computing Network to Minimize Average Task Delay with Deadline Constraints.

22. A Multi-Dimensional Reverse Auction Mechanism for Volatile Federated Learning in the Mobile Edge Computing Systems.

23. Snake swarm optimization‐based deep reinforcement learning for resource allocation in edge computing environment.

24. Optimizing energy efficiency in MEC networks: a deep learning approach with Cybertwin-driven resource allocation.

25. DRC-EDI: An integrity protection scheme based on data right confirmation for mobile edge computing.

26. 基于鸟群人工鱼群算法的区块链移动边缘计算卸载模型.

27. Application of Large Language Models and Assessment of Their Ship-Handling Theory Knowledge and Skills for Connected Maritime Autonomous Surface Ships.

28. Resource allocation and offloading decision for secure UAV-based MEC wireless-powered System.

29. Dependency-aware task offloading based on deep reinforcement learning in mobile edge computing networks.

30. UGV-awareness task placement in edge-cloud based urban intelligent video systems.

31. 基于混合策略博弈的无人机辅助移动边缘计算任务卸载.

32. Multi-user reinforcement learning based task migration in mobile edge computing.

33. Computation Offloading Strategy for Detection Task in Railway IoT with Integrated Sensing, Storage, and Computing.

34. Security-Aware Task Offloading Using Deep Reinforcement Learning in Mobile Edge Computing Systems.

35. 不确定网络环境中任务卸载和资源分配联合优化方法.

36. RESP: A Recursive Clustering Approach for Edge Server Placement in Mobile Edge Computing.

37. Efficient microservices offloading for cost optimization in diverse MEC cloud networks

38. Service migration optimization method for resource competition in mobile edge computing scenarios

39. UAV-Assisted Mobile Edge Computing Task Offloading Based on Mixed-Strategy Games

40. Optimizing energy efficiency in MEC networks: a deep learning approach with Cybertwin-driven resource allocation

41. Design and implementation of privacy-preserving federated learning algorithm for consumer IoT

42. Intelligent and efficient task caching for mobile edge computing.

43. Dynamic and efficient resource allocation for 5G end‐to‐end network slicing: A multi‐agent deep reinforcement learning approach.

44. A family of truthful mechanisms for resource allocation with multi-attribute demand in mobile edge computing.

45. Design and implementation of privacy-preserving federated learning algorithm for consumer IoT.

46. Task Offloading and Trajectory Optimization in UAV Networks: A Deep Reinforcement Learning Method Based on SAC and A-Star.

47. Enhancing UAV-based edge computing: a study on nonhovering operations and two-stage optimization strategies.

48. Enhanced whale optimization algorithm for dependent tasks offloading problem in multi-edge cloud computing

49. STAM-LSGRU: a spatiotemporal radar echo extrapolation algorithm with edge computing for short-term forecasting

50. A mobile edge computing-focused transferable sensitive data identification method based on product quantization

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