CDA-YOLO: an improved YOLOv11 model for PCB defect detection

A lightweight photovoltaic panel defect detection model based on YOLO
Yuwen Liu, Shunxin Cao, Mengting Liu
Scientific Reports16 Oct 2026Peer-reviewedCC BY-NC-ND 4.0Full textCrossref
YOLO-RMF: A Real-Time Surface Defect Detection Model for Hot-Rolled Strip Steel with Reparameterized Convolution and Axial Attention
Sensors (Basel, Switzerland)1 Oct 2026Peer-reviewedCC BYFull textEurope PMC
YOLO4SWD: an improved YOLOv11-based method for waste detection and classification
Xuehao Chen, Fafu Zhang, Wenlin Pan +1
Scientific Reports1 Jul 2026Peer-reviewedCC BYFull textGeneral medicineDOAJ
Cracks-YOLO: an improved YOLOv5 tongue crack detection method based on switchable atrous convolution and transformer
Miaomiao Ding, Meiyi Wu, Bochen Shen +2
Frontiers in medicine16 Oct 2026Peer-reviewedCC BYFull textGeneral medicineEurope PMC
An improved YOLOv8 framework fused with attention mechanism and gold-YOLO neck for abnormal driving behavior detection in automobiles
Zhichao Xu, Yuxin Chen, Xiaohui Lu +5
Scientific Reports18 Oct 2026Peer-reviewedCC BY-NC-ND 4.0Full textCrossref

Cite

BibTeX

@article{yuan2026cdayolo,
  title = {{CDA-YOLO: an improved YOLOv11 model for PCB defect detection}},
  author = {Anlong Yuan and Jingmin Li},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-74471-x},
  url = {https://www.nature.com/articles/s41598-026-74471-x},
  note = {CC BY-NC-ND 4.0},
}

RIS

TY  - JOUR
TI  - CDA-YOLO: an improved YOLOv11 model for PCB defect detection
AU  - Anlong Yuan
AU  - Jingmin Li
PY  - 2026
DA  - 2026/10/19
JO  - Scientific Reports
DO  - 10.1038/s41598-026-74471-x
UR  - https://www.nature.com/articles/s41598-026-74471-x
SN  - 2045-2322
ER  -

Related

Cite