SAL-YOLO-DeepSeek: a lightweight real-time detection and LLM-driven decision framework for intelligent escalator safety monitoring.
- DOI
- 10.1038/s41598-025-24260-9
- Published
- 2025 Nov 18
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-24260-9,
title = {SAL-YOLO-DeepSeek: a lightweight real-time detection and LLM-driven decision framework for intelligent escalator safety monitoring.},
author = {Wang Q and Wang D and Lu J and Xiao G and Liang D and Lu G and Shao H},
year = {2025},
journal = {Scientific reports},
doi = {10.1038/s41598-025-24260-9},
url = {https://doi.org/10.1038/s41598-025-24260-9}
}RIS
TY - JOUR TI - SAL-YOLO-DeepSeek: a lightweight real-time detection and LLM-driven decision framework for intelligent escalator safety monitoring. AU - Wang Q AU - Wang D AU - Lu J AU - Xiao G AU - Liang D AU - Lu G AU - Shao H PY - 2025 JO - Scientific reports DO - 10.1038/s41598-025-24260-9 UR - https://doi.org/10.1038/s41598-025-24260-9 ER -
APA
Q, W., D, W., J, L., G, X., D, L., G, L., & H, S. (2025). SAL-YOLO-DeepSeek: a lightweight real-time detection and LLM-driven decision framework for intelligent escalator safety monitoring.. Scientific reports. https://doi.org/10.1038/s41598-025-24260-9
Source records
- pubmed · retrieved 2026-09-26T07:55:40.738Z