YOLOv13-ADR: An Adaptive Deformable Convolution and Neighborhood-Aware Recombination Network for Wind Turbine Blade Defect Detection.
- DOI
- 10.3390/s26165111
- Published
- 2026 Aug 12
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26165111,
title = {YOLOv13-ADR: An Adaptive Deformable Convolution and Neighborhood-Aware Recombination Network for Wind Turbine Blade Defect Detection.},
author = {Wang X and Shahzad MM and Yang S and Wang T and Wang Z},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26165111},
url = {https://doi.org/10.3390/s26165111}
}RIS
TY - JOUR TI - YOLOv13-ADR: An Adaptive Deformable Convolution and Neighborhood-Aware Recombination Network for Wind Turbine Blade Defect Detection. AU - Wang X AU - Shahzad MM AU - Yang S AU - Wang T AU - Wang Z PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26165111 UR - https://doi.org/10.3390/s26165111 ER -
APA
X, W., MM, S., S, Y., T, W., & Z, W. (2026). YOLOv13-ADR: An Adaptive Deformable Convolution and Neighborhood-Aware Recombination Network for Wind Turbine Blade Defect Detection.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26165111
Source records
- pubmed · retrieved 2026-09-24T21:21:18.346Z