Risk assessment of mine water inrush based on semi-supervised deep learning model

Ye Zhang, Shoufeng Tang

Open source

DOI
10.1177/00368504261500748
Published
2026-10
Container
Science Progress
Publisher
SAGE Publications
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1177/00368504261500748,
  title = {Risk assessment of mine water inrush based on semi-supervised deep learning model},
  author = {Ye Zhang and Shoufeng Tang},
  year = {2026},
  journal = {Science Progress},
  doi = {10.1177/00368504261500748},
  url = {https://doi.org/10.1177/00368504261500748}
}

RIS

TY  - JOUR
TI  - Risk assessment of mine water inrush based on semi-supervised deep learning model
AU  - Ye Zhang
AU  - Shoufeng Tang
PY  - 2026
JO  - Science Progress
DO  - 10.1177/00368504261500748
UR  - https://doi.org/10.1177/00368504261500748
ER  - 

APA

Zhang, Y., & Tang, S. (2026). Risk assessment of mine water inrush based on semi-supervised deep learning model. Science Progress. https://doi.org/10.1177/00368504261500748

Source records