Smoking-YOLOv8: a novel smoking detection algorithm for chemical plant personnel
Author:
Funder
National Natural Science Foundation of China
Natural Science Research Key Project for Colleges and University of Anhui Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10044-024-01288-7.pdf
Reference47 articles.
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2. Li X et al (2023) Exploring hazardous chemical explosion accidents with association rules and Bayesian networks. Reliab Eng Sys Saf 233:109099
3. Zheng X et al (2016) Smokey: ubiquitous smoking detection with commercial WiFi infrastructures. In: IEEE INFOCOM 2016-The 35th annual IEEE international conference on computer communications. IEEE
4. Hnoohom N et al (2023) An efficient ResNetSE architecture for smoking activity recognition from smartwatch. Intell Autom Soft Comput 35(1):1245–1259
5. Cui C and R Xu (2022) Multiple machine learning algorithms for human smoking behavior detection. In: 2022 international conference on Machine Learning and Intelligent Systems Engineering (MLISE). IEEE.
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