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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

298 related items for PubMed ID: 34198445

  • 1. Applying deep learning to defect detection in printed circuit boards via a newest model of you-only-look-once.
    Adibhatla VA, Chih HC, Hsu CC, Cheng J, Abbod MF, Shieh JS.
    Math Biosci Eng; 2021 May 21; 18(4):4411-4428. PubMed ID: 34198445
    [Abstract] [Full Text] [Related]

  • 2. End-to-end deep learning framework for printed circuit board manufacturing defect classification.
    Bhattacharya A, Cloutier SG.
    Sci Rep; 2022 Jul 22; 12(1):12559. PubMed ID: 35869131
    [Abstract] [Full Text] [Related]

  • 3. An implementation of YOLO-family algorithms in classifying the product quality for the acrylonitrile butadiene styrene metallization.
    Chen YW, Shiu JM.
    Int J Adv Manuf Technol; 2022 Jul 22; 119(11-12):8257-8269. PubMed ID: 35125604
    [Abstract] [Full Text] [Related]

  • 4. Quality inspection of specific electronic boards by deep neural networks.
    Klco P, Koniar D, Hargas L, Pociskova Dimova K, Chnapko M.
    Sci Rep; 2023 Nov 24; 13(1):20657. PubMed ID: 38001132
    [Abstract] [Full Text] [Related]

  • 5. PCB defect detection algorithm based on CDI-YOLO.
    Xiao G, Hou S, Zhou H.
    Sci Rep; 2024 Mar 28; 14(1):7351. PubMed ID: 38548814
    [Abstract] [Full Text] [Related]

  • 6. A Particleboard Surface Defect Detection Method Research Based on the Deep Learning Algorithm.
    Zhao Z, Ge Z, Jia M, Yang X, Ding R, Zhou Y.
    Sensors (Basel); 2022 Oct 12; 22(20):. PubMed ID: 36298082
    [Abstract] [Full Text] [Related]

  • 7. Conditional TransGAN-Based Data Augmentation for PCB Electronic Component Inspection.
    Wang C, Huang G, Huang Z, He W.
    Comput Intell Neurosci; 2023 Oct 12; 2023():2024237. PubMed ID: 36660560
    [Abstract] [Full Text] [Related]

  • 8. EC-YOLO: Improved YOLOv7 Model for PCB Electronic Component Detection.
    Luo S, Wan F, Lei G, Xu L, Ye Z, Liu W, Zhou W, Xu C.
    Sensors (Basel); 2024 Jul 05; 24(13):. PubMed ID: 39001141
    [Abstract] [Full Text] [Related]

  • 9. Real-Time Pattern-Recognition of GPR Images with YOLO v3 Implemented by Tensorflow.
    Li Y, Zhao Z, Luo Y, Qiu Z.
    Sensors (Basel); 2020 Nov 12; 20(22):. PubMed ID: 33198420
    [Abstract] [Full Text] [Related]

  • 10. Application of local fully Convolutional Neural Network combined with YOLO v5 algorithm in small target detection of remote sensing image.
    Wu W, Liu H, Li L, Long Y, Wang X, Wang Z, Li J, Chang Y.
    PLoS One; 2021 Nov 12; 16(10):e0259283. PubMed ID: 34714878
    [Abstract] [Full Text] [Related]

  • 11. Agricultural Greenhouses Detection in High-Resolution Satellite Images Based on Convolutional Neural Networks: Comparison of Faster R-CNN, YOLO v3 and SSD.
    Li M, Zhang Z, Lei L, Wang X, Guo X.
    Sensors (Basel); 2020 Aug 31; 20(17):. PubMed ID: 32878345
    [Abstract] [Full Text] [Related]

  • 12. Real time object-based video forgery detection using YOLO (V2).
    Raskar PS, Shah SK.
    Forensic Sci Int; 2021 Oct 31; 327():110979. PubMed ID: 34507025
    [Abstract] [Full Text] [Related]

  • 13. Improved YOLO-V3 with DenseNet for Multi-Scale Remote Sensing Target Detection.
    Xu D, Wu Y.
    Sensors (Basel); 2020 Jul 31; 20(15):. PubMed ID: 32751868
    [Abstract] [Full Text] [Related]

  • 14. An Efficient YOLO Algorithm with an Attention Mechanism for Vision-Based Defect Inspection Deployed on FPGA.
    Yu L, Zhu J, Zhao Q, Wang Z.
    Micromachines (Basel); 2022 Jun 30; 13(7):. PubMed ID: 35888875
    [Abstract] [Full Text] [Related]

  • 15. A comprehensive review of methods based on deep learning for diabetes-related foot ulcers.
    Zhang J, Qiu Y, Peng L, Zhou Q, Wang Z, Qi M.
    Front Endocrinol (Lausanne); 2022 Jun 30; 13():945020. PubMed ID: 36004341
    [Abstract] [Full Text] [Related]

  • 16. Lightweight Network DCR-YOLO for Surface Defect Detection on Printed Circuit Boards.
    Jiang Y, Cai M, Zhang D.
    Sensors (Basel); 2023 Aug 22; 23(17):. PubMed ID: 37687766
    [Abstract] [Full Text] [Related]

  • 17. Platelet Detection Based on Improved YOLO_v3.
    Liu R, Ren C, Fu M, Chu Z, Guo J.
    Cyborg Bionic Syst; 2022 Aug 22; 2022():9780569. PubMed ID: 36285313
    [Abstract] [Full Text] [Related]

  • 18. Defect Detection in Printed Circuit Boards Using Semi-Supervised Learning.
    Pham TTA, Thoi DKT, Choi H, Park S.
    Sensors (Basel); 2023 Mar 19; 23(6):. PubMed ID: 36991958
    [Abstract] [Full Text] [Related]

  • 19. Printed Circuit Board Defect Detection Using Deep Learning via A Skip-Connected Convolutional Autoencoder.
    Kim J, Ko J, Choi H, Kim H.
    Sensors (Basel); 2021 Jul 21; 21(15):. PubMed ID: 34372203
    [Abstract] [Full Text] [Related]

  • 20. An automatic sorting system for electronic components detached from waste printed circuit boards.
    Lu Y, Yang B, Gao Y, Xu Z.
    Waste Manag; 2022 Jan 01; 137():1-8. PubMed ID: 34700285
    [Abstract] [Full Text] [Related]

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