BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

195 related articles for article (PubMed ID: 38067914)

  • 1. Multi-Objective Optimization in Air-to-Air Communication System Based on Multi-Agent Deep Reinforcement Learning.
    Lin S; Chen Y; Li S
    Sensors (Basel); 2023 Nov; 23(23):. PubMed ID: 38067914
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Task Offloading Strategy for Unmanned Aerial Vehicle Power Inspection Based on Deep Reinforcement Learning.
    Zhuang W; Xing F; Lu Y
    Sensors (Basel); 2024 Mar; 24(7):. PubMed ID: 38610282
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Task Offloading Strategy Based on Mobile Edge Computing in UAV Network.
    Qi W; Sun H; Yu L; Xiao S; Jiang H
    Entropy (Basel); 2022 May; 24(5):. PubMed ID: 35626619
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Power Allocation and Energy Cooperation for UAV-Enabled MmWave Networks: A Multi-Agent Deep Reinforcement Learning Approach.
    Domingo MC
    Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009812
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep Reinforcement Learning for Computation Offloading and Resource Allocation in Unmanned-Aerial-Vehicle Assisted Edge Computing.
    Li S; Hu X; Du Y
    Sensors (Basel); 2021 Sep; 21(19):. PubMed ID: 34640820
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Joint Deployment and Task Scheduling Optimization for Large-Scale Mobile Users in Multi-UAV-Enabled Mobile Edge Computing.
    Wang Y; Ru ZY; Wang K; Huang PQ
    IEEE Trans Cybern; 2020 Sep; 50(9):3984-3997. PubMed ID: 31514164
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Intelligent computational methods for multi-unmanned aerial vehicle-enabled autonomous mobile edge computing systems.
    Asim M; Abd El-Latif AA
    ISA Trans; 2023 Jan; 132():5-15. PubMed ID: 34933773
    [TBL] [Abstract][Full Text] [Related]  

  • 8. UAV-Assisted Mobile Edge Computing: Dynamic Trajectory Design and Resource Allocation.
    Wang Z; Zhao W; Hu P; Zhang X; Liu L; Fang C; Sun Y
    Sensors (Basel); 2024 Jun; 24(12):. PubMed ID: 38931732
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Reinforcement Learning Based Topology Control for UAV Networks.
    Yoo T; Lee S; Yoo K; Kim H
    Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679723
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Joint User Association and Deployment Optimization for Energy-Efficient Heterogeneous UAV-Enabled MEC Networks.
    Han Z; Zhou T; Xu T; Hu H
    Entropy (Basel); 2023 Sep; 25(9):. PubMed ID: 37761603
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Trajectory Design for Multi-UAV-Aided Wireless Power Transfer toward Future Wireless Systems.
    Mu J; Sun Z
    Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146206
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Resource Allocation and 3D Deployment of UAVs-Assisted MEC Network with Air-Ground Cooperation.
    Huang J; Xu S; Zhang J; Wu Y
    Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408207
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An Energy Efficient UAV-Based Edge Computing System with Reliability Guarantee for Mobile Ground Nodes.
    Kim SY; Kim YK
    Sensors (Basel); 2021 Dec; 21(24):. PubMed ID: 34960363
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Task Offloading Decision-Making Algorithm for Vehicular Edge Computing: A Deep-Reinforcement-Learning-Based Approach.
    Shi W; Chen L; Zhu X
    Sensors (Basel); 2023 Sep; 23(17):. PubMed ID: 37688051
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep-Reinforcement-Learning-Based Joint Energy Replenishment and Data Collection Scheme for WRSN.
    Li J; Deng Z; Feng Y; Liu N
    Sensors (Basel); 2024 Apr; 24(8):. PubMed ID: 38676003
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Power-Efficient Wireless Coverage Using Minimum Number of UAVs.
    Sawalmeh A; Othman NS; Liu G; Khreishah A; Alenezi A; Alanazi A
    Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009766
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Federated Learning Latency Minimization Method for UAV Swarms Aided by Communication Compression and Energy Allocation.
    Zeng L; Wang W; Zuo W
    Sensors (Basel); 2023 Jun; 23(13):. PubMed ID: 37447637
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Federated Deep Reinforcement Learning Based Task Offloading with Power Control in Vehicular Edge Computing.
    Moon S; Lim Y
    Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36559963
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Energy-Efficient UAV-Enabled MEC System: Bits Allocation Optimization and Trajectory Design.
    Li L; Wen X; Lu Z; Pan Q; Hu WJAZ
    Sensors (Basel); 2019 Oct; 19(20):. PubMed ID: 31627444
    [TBL] [Abstract][Full Text] [Related]  

  • 20. MW-MADDPG: a meta-learning based decision-making method for collaborative UAV swarm.
    Zhao M; Wang G; Fu Q; Guo X; Chen Y; Li T; Liu X
    Front Neurorobot; 2023; 17():1243174. PubMed ID: 37811355
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.