Convolutional Neural Networks for Hole Inspection in Aerospace Systems.

Madison G, Griser GM, Truelson G, Farris C, Colaw CL, Hurmuzlu Y

DOI: 10.3390/s25185921
Published: 2025 Sep 22
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s25185921,
  title = {Convolutional Neural Networks for Hole Inspection in Aerospace Systems.},
  author = {Madison G and Griser GM and Truelson G and Farris C and Colaw CL and Hurmuzlu Y},
  year = {2025},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s25185921},
  url = {https://doi.org/10.3390/s25185921}
}

RIS

TY  - JOUR
TI  - Convolutional Neural Networks for Hole Inspection in Aerospace Systems.
AU  - Madison G
AU  - Griser GM
AU  - Truelson G
AU  - Farris C
AU  - Colaw CL
AU  - Hurmuzlu Y
PY  - 2025
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s25185921
UR  - https://doi.org/10.3390/s25185921
ER  -

APA

G, M., GM, G., G, T., C, F., CL, C., & Y, H. (2025). Convolutional Neural Networks for Hole Inspection in Aerospace Systems.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25185921

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pubmed · retrieved 2026-09-26T10:02:02.289Z