These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

191 related articles for article (PubMed ID: 34577265)

  • 41. Federated Deep Reinforcement Learning-Based Task Offloading and Resource Allocation for Smart Cities in a Mobile Edge Network.
    Chen X; Liu G
    Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808234
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Deep Reinforcement Learning for Edge Caching with Mobility Prediction in Vehicular Networks.
    Choi Y; Lim Y
    Sensors (Basel); 2023 Feb; 23(3):. PubMed ID: 36772771
    [TBL] [Abstract][Full Text] [Related]  

  • 43. An Efficient Resource Management Optimization Scheme for Internet of Vehicles in Edge Computing Environment.
    Zhu A; Wen Y
    Comput Intell Neurosci; 2022; 2022():3207456. PubMed ID: 35669676
    [TBL] [Abstract][Full Text] [Related]  

  • 44. HDL-IDS: A Hybrid Deep Learning Architecture for Intrusion Detection in the Internet of Vehicles.
    Ullah S; Khan MA; Ahmad J; Jamal SS; E Huma Z; Hassan MT; Pitropakis N; Arshad ; Buchanan WJ
    Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214241
    [TBL] [Abstract][Full Text] [Related]  

  • 45. A Federated Learning and Deep Reinforcement Learning-Based Method with Two Types of Agents for Computation Offload.
    Liu S; Yang S; Zhang H; Wu W
    Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850846
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Distributed DRL-Based Computation Offloading Scheme for Improving QoE in Edge Computing Environments.
    Park J; Chung K
    Sensors (Basel); 2023 Apr; 23(8):. PubMed ID: 37112505
    [TBL] [Abstract][Full Text] [Related]  

  • 47. A Survey and Tutorial on Network Optimization for Intelligent Transport System Using the Internet of Vehicles.
    Panigrahy SK; Emany H
    Sensors (Basel); 2023 Jan; 23(1):. PubMed ID: 36617152
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Improved Multimedia Object Processing for the Internet of Vehicles.
    Bhatia S; Alsuwailam RI; Roy DG; Mashat A
    Sensors (Basel); 2022 May; 22(11):. PubMed ID: 35684754
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Efficient Matching-Based Parallel Task Offloading in IoT Networks.
    Malik UM; Javed MA; Frnda J; Rozhon J; Khan WU
    Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146254
    [TBL] [Abstract][Full Text] [Related]  

  • 50. An adaptive offloading framework for license plate detection in collaborative edge and cloud computing.
    Zhang H; Wang P; Zhang S; Wu Z
    Math Biosci Eng; 2023 Jan; 20(2):2793-2814. PubMed ID: 36899558
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Flexible computation offloading in a fuzzy-based mobile edge orchestrator for IoT applications.
    Nguyen V; Khanh TT; Nguyen TDT; Hong CS; Huh EN
    J Cloud Comput (Heidelb); 2020; 9(1):66. PubMed ID: 33532167
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Software-Defined Optimal Computation Task Scheduling in Vehicular Edge Networking.
    Li Z; Peng E
    Sensors (Basel); 2021 Feb; 21(3):. PubMed ID: 33535432
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Intelligent Rapid Adaptive Offloading Algorithm for Computational Services in Dynamic Internet of Things System.
    Li X; Qin Y; Zhou H; Cheng Y; Zhang Z; Ai Z
    Sensors (Basel); 2019 Aug; 19(15):. PubMed ID: 31382708
    [TBL] [Abstract][Full Text] [Related]  

  • 54. MSCET: A Multi-Scenario Offloading Schedule for Biomedical Data Processing and Analysis in Cloud-Edge-Terminal Collaborative Vehicular Networks.
    Ni Z; Chen H; Li Z; Wang X; Yan N; Liu W; Xia F
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(4):2376-2386. PubMed ID: 34847040
    [TBL] [Abstract][Full Text] [Related]  

  • 55. An LSTM-Method-Based Availability Prediction for Optimized Offloading in Mobile Edges.
    Cui C; Zhao M; Wong K
    Sensors (Basel); 2019 Oct; 19(20):. PubMed ID: 31618908
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Deep Reinforcement Learning-Based Task Scheduling in IoT Edge Computing.
    Sheng S; Chen P; Chen Z; Wu L; Yao Y
    Sensors (Basel); 2021 Feb; 21(5):. PubMed ID: 33671072
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Resource Prediction-Based Edge Collaboration Scheme for Improving QoE.
    Park J; Chung K
    Sensors (Basel); 2021 Dec; 21(24):. PubMed ID: 34960593
    [TBL] [Abstract][Full Text] [Related]  

  • 58. A Distributed and Context-Aware Task Assignment Mechanism for Collaborative Mobile Edge Computing.
    Gu B; Chen Y; Liao H; Zhou Z; Zhang D
    Sensors (Basel); 2018 Jul; 18(8):. PubMed ID: 30046025
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Energy-Efficient Collaborative Task ComputationOffloading in Cloud-Assisted Edge Computingfor IoT Sensors.
    Liu F; Huang Z; Wang L
    Sensors (Basel); 2019 Mar; 19(5):. PubMed ID: 30836717
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Mobility-Aware Service Caching in Mobile Edge Computing for Internet of Things.
    Wei H; Luo H; Sun Y
    Sensors (Basel); 2020 Jan; 20(3):. PubMed ID: 31979135
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.