AIMC Topic: Chemical Hazard Release
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Predicting the consequences of accidents involving dangerous substances using machine learning.
Ecotoxicology and environmental safety
Oct 19, 2020
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 i...
A Method to Extract Causality for Safety Events in Chemical Accidents from Fault Trees and Accident Reports.
Computational intelligence and neuroscience
Jun 19, 2020
Chemical event evolutionary graph (CEEG) is an effective tool to perform safety analysis, early warning, and emergency disposal for chemical accidents. However, it is a complicated work to find causality among events in a CEEG. This paper presents a ...
Comparison of Machine Learning Models for Hazardous Gas Dispersion Prediction in Field Cases.
International journal of environmental research and public health
Jul 10, 2018
Dispersion prediction plays a significant role in the management and emergency response to hazardous gas emissions and accidental leaks. Compared with conventional atmospheric dispersion models, machine leaning (ML) models have both high accuracy and...
Designing and executing a functional exercise to test a novel informatics tool for mass casualty triage.
Journal of the American Medical Informatics Association : JAMIA
Oct 1, 2019
OBJECTIVE: The testing of informatics tools designed for use during mass casualty incidents presents a unique problem as there is no readily available population of victims or identical exposure setting. The purpose of this article is to describe the...
Major accident prevention through applying safety knowledge management approach.
Journal of emergency management (Weston, Mass.)
Jan 1, 2016
OBJECTIVE: Many scattered resources of knowledge are available to use for chemical accident prevention purposes. The common approach to management process safety, including using databases and referring to the available knowledge has some drawbacks. ...
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