Enhancing particulate matter risk assessment with novel machine learning-driven toxicity threshold prediction

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Publication Details

Journal
Engineering Applications of Artificial Intelligence
Published
2024-10-31
DOI
https://doi.org/10.1016/j.engappai.2024.109531
Citations
3
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.62
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article

Enhancing particulate matter risk assessment with novel machine learning-driven toxicity threshold prediction

Slim Hammadi, Ludivine Canivet, Idriss Jairi, Sarah Ben-Othman et al.
3 citations
Engineering Applications of Artificial Intelligence
Air Quality Monitoring and Forecasting
0.62
article

Enhancing particulate matter risk assessment with novel machine learning-driven toxicity threshold prediction

Slim Hammadi, Ludivine Canivet, Idriss Jairi, Sarah Ben-Othman, Hayfa Zgaya, Amelle Rekbi
article en
3 citations

Abstract

No abstract available for this paper.
Engineering Applications of Artificial IntelligenceVol. 139
Université de Lille (FR)
Zero hunger
Openalex Percentile: Top 35%
Air Quality Monitoring and Forecasting
0.62
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