About this document
Risk Analysis Formatted Manuscript by physicswalli090 is a document available to read on EtoBox.
The document discusses the development of six deep learning models to predict health and safety (H&S) risks in power infrastructure projects, utilizing a text mining approach to enhance data analysis. The models achieved high accuracy, with a classification model showing 93% accuracy and regression models averaging an R-squared value of 0.92. The findings aim to improve understanding of H&S challenges and provide effective strategies for risk mitigation in the sector.
- Author
- physicswalli090
- Language
- EN