Customized AutoML: An Automated Machine Learning System for Predicting Severity of Construction Accidents

Customized AutoML: An Automated Machine Learning System for Predicting Severity of Construction Accidents

Construction companies are under pressure to enhance their site safety condition, being constantly challenged by rapid technological advancements, growing public concern, and fierce competition. To enhance construction site safety, literature investigated Machine Learning (ML) approaches as risk ass...

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Bibliographic Details
Main Authors:	Vedat Toğan, Fatemeh Mostofi, Yunus Emre Ayözen, Onur Behzat Tokdemir
Format:	Article
Language:	English
Published:	MDPI AG 2022-11-01
Series:	Buildings
Subjects:	construction accident risk assessment automated machine learning (AutoML) multi-level severity prediction
Online Access:	https://www.mdpi.com/2075-5309/12/11/1933

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