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 *

137 related articles for article (PubMed ID: 37050478)

  • 1. A Novel Real-Time Autonomous Crack Inspection System Based on Unmanned Aerial Vehicles.
    Tse KW; Pi R; Sun Y; Wen CY; Feng Y
    Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050478
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Application of Crack Identification Techniques for an Aging Concrete Bridge Inspection Using an Unmanned Aerial Vehicle.
    Kim IH; Jeon H; Baek SC; Hong WH; Jung HJ
    Sensors (Basel); 2018 Jun; 18(6):. PubMed ID: 29890652
    [TBL] [Abstract][Full Text] [Related]  

  • 3. SMART SKY EYE System for Preliminary Structural Safety Assessment of Buildings Using Unmanned Aerial Vehicles.
    Bae J; Lee J; Jang A; Ju YK; Park MJ
    Sensors (Basel); 2022 Apr; 22(7):. PubMed ID: 35408376
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Localization System for Lightweight Unmanned Aerial Vehicles in Inspection Tasks.
    Benjumea D; Alcántara A; Ramos A; Torres-Gonzalez A; Sánchez-Cuevas P; Capitan J; Heredia G; Ollero A
    Sensors (Basel); 2021 Sep; 21(17):. PubMed ID: 34502825
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Localization of Cracks in Concrete Structures Using an Unmanned Aerial Vehicle.
    Woo HJ; Seo DM; Kim MS; Park MS; Hong WH; Baek SC
    Sensors (Basel); 2022 Sep; 22(17):. PubMed ID: 36081175
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Combining the YOLOv4 Deep Learning Model with UAV Imagery Processing Technology in the Extraction and Quantization of Cracks in Bridges.
    Kao SP; Chang YC; Wang FL
    Sensors (Basel); 2023 Feb; 23(5):. PubMed ID: 36904775
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated Vision-Based Detection of Cracks on Concrete Surfaces Using a Deep Learning Technique.
    Kim B; Cho S
    Sensors (Basel); 2018 Oct; 18(10):. PubMed ID: 30322206
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Concrete Crack Identification Using a UAV Incorporating Hybrid Image Processing.
    Kim H; Lee J; Ahn E; Cho S; Shin M; Sim SH
    Sensors (Basel); 2017 Sep; 17(9):. PubMed ID: 28880254
    [TBL] [Abstract][Full Text] [Related]  

  • 9. RDD-YOLOv5: Road Defect Detection Algorithm with Self-Attention Based on Unmanned Aerial Vehicle Inspection.
    Jiang Y; Yan H; Zhang Y; Wu K; Liu R; Lin C
    Sensors (Basel); 2023 Oct; 23(19):. PubMed ID: 37837071
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Vision and Deep Learning-Based Algorithms to Detect and Quantify Cracks on Concrete Surfaces from UAV Videos.
    Bhowmick S; Nagarajaiah S; Veeraraghavan A
    Sensors (Basel); 2020 Nov; 20(21):. PubMed ID: 33167411
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Bridge Crack Inspection Efficiency of an Unmanned Aerial Vehicle System with a Laser Ranging Module.
    Kao SP; Wang FL; Lin JS; Tsai J; Chu YD; Hung PS
    Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746251
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Deep Learning Approach for Surface Crack Classification and Segmentation in Unmanned Aerial Vehicle Assisted Infrastructure Inspections.
    Egodawela S; Khodadadian Gostar A; Buddika HADS; Dammika AJ; Harischandra N; Navaratnam S; Mahmoodian M
    Sensors (Basel); 2024 Mar; 24(6):. PubMed ID: 38544199
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Robotic System for Inspection by Contact of Bridge Beams Using UAVs.
    Sanchez-Cuevas PJ; Ramon-Soria P; Arrue B; Ollero A; Heredia G
    Sensors (Basel); 2019 Jan; 19(2):. PubMed ID: 30646535
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Dynamic Object Tracking on Autonomous UAV System for Surveillance Applications.
    Lo LY; Yiu CH; Tang Y; Yang AS; Li B; Wen CY
    Sensors (Basel); 2021 Nov; 21(23):. PubMed ID: 34883913
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Binocular Vision-Based Crack Detection and Measurement Method Incorporating Semantic Segmentation.
    Zhang Z; Shen Z; Liu J; Shu J; Zhang H
    Sensors (Basel); 2023 Dec; 24(1):. PubMed ID: 38202865
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Modification and Evaluation of Attention-Based Deep Neural Network for Structural Crack Detection.
    Yuan H; Jin T; Ye X
    Sensors (Basel); 2023 Jul; 23(14):. PubMed ID: 37514590
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Novel Approach for UAV Image Crack Detection.
    Li Y; Ma J; Zhao Z; Shi G
    Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590994
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Learning-Based Autonomous UAV System for Electrical and Mechanical (E&M) Device Inspection.
    Feng Y; Tse K; Chen S; Wen CY; Li B
    Sensors (Basel); 2021 Feb; 21(4):. PubMed ID: 33669478
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fast Detection of Missing Thin Propagating Cracks during Deep-Learning-Based Concrete Crack/Non-Crack Classification.
    Kolappan Geetha G; Yang HJ; Sim SH
    Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772459
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic Pixel-Level Crack Detection on Dam Surface Using Deep Convolutional Network.
    Feng C; Zhang H; Wang H; Wang S; Li Y
    Sensors (Basel); 2020 Apr; 20(7):. PubMed ID: 32272652
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.