Uncovering the features of industrial odors-derived environmental complaints and proactive countermeasures by using machine-learning

Xiao, H., Tian, J., Chen, Y., Wang, C., Zhang, Y., & Chen, L. (2024). Uncovering the features of industrial odors-derived environmental complaints and proactive countermeasures by using machine-learning. Journal of Environmental Management, 370, 122900. https://doi.org/10.1016/j.jenvman.2024.122900
Authors:
Hao Xiao
Jinping Tian
Yalin Chen
Chengwen Wang
Yuchen Zhang
Lyujun Chen
Affiliated Authors:
Yuchen Zhang
Columbia Affiliation:
Subjects:
Machine Learning (MeSH)
Odorants (MeSH)
Author Keywords:
data-driven
environmental complaints
industrial odor
machine-learning
tire manufacturing
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Publication Type:
Article
Unique ID:
10.1016/j.jenvman.2024.122900
PMID:
39405848
DOI:
10.1016/j.jenvman.2024.122900
Journal:
Journal of Environmental Management
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
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Record Created: