Predicting the consequences of accidents involving dangerous substances using machine learning

Predicting the consequences of accidents involving dangerous substances using machine learning

A new dimension of learning lessons from the occurrence of hazardous events involving dangerous substances is considered relying on the availability of representative data and the significant evolution of a wide range of machine learning tools. The importance of such a dimension lies in the possibil...

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Bibliographic Details
Main Author:	Mourad Chebila
Format:	Article
Language:	English
Published:	Elsevier 2021-01-01
Series:	Ecotoxicology and Environmental Safety
Subjects:	Industrial accidents Machine learning Neural networks Random forests Performance metrics
Online Access:	http://www.sciencedirect.com/science/article/pii/S0147651320313075

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