An improved ResNet50 method for hazardous-region state recognition in CNC press brakes

Xingtao Hu, Fan Li, Nan Wang, Sizhong Miao, Shanshan Peng, Chuanbing Wang, Pengpeng Zhou, Xinyu Liu

Open source

DOI: 10.1038/s41598-026-62453-y
Published: 2026-07-14
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-62453-y,
  title = {An improved ResNet50 method for hazardous-region state recognition in CNC press brakes},
  author = {Xingtao Hu and Fan Li and Nan Wang and Sizhong Miao and Shanshan Peng and Chuanbing Wang and Pengpeng Zhou and Xinyu Liu},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-62453-y},
  url = {https://doi.org/10.1038/s41598-026-62453-y}
}

RIS

TY  - JOUR
TI  - An improved ResNet50 method for hazardous-region state recognition in CNC press brakes
AU  - Xingtao Hu
AU  - Fan Li
AU  - Nan Wang
AU  - Sizhong Miao
AU  - Shanshan Peng
AU  - Chuanbing Wang
AU  - Pengpeng Zhou
AU  - Xinyu Liu
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-62453-y
UR  - https://doi.org/10.1038/s41598-026-62453-y
ER  -

APA

Hu, X., Li, F., Wang, N., Miao, S., Peng, S., Wang, C., Zhou, P., & Liu, X. (2026). An improved ResNet50 method for hazardous-region state recognition in CNC press brakes. Scientific Reports. https://doi.org/10.1038/s41598-026-62453-y

Source records

crossref · retrieved 2026-09-26T07:44:38.320Z