In the last decade, injury statistics have not exhibited appreciable improvement within the
construction industry, with current management strategies deployed reactively in response …

This study used methodologies of descriptive and quantitative statistics to identify the
contributing factors most affecting occupational accident outcomes among electrical …

A U-Net is a type of convolutional neural network that has been shown to output impressive
results in medical imaging segmentation tasks. Still, neural networks in general form a black …

Stadium fires can easily cause massive casualties and property damage. The early risk
prediction of stadiums will be able to reduce the incidence of fires by making corresponding …

The rising prevalence of fatalities in the construction industry has prompted management to
shift from traditional approaches to more advanced methods for analysis like machine …

Machine learning methods can establish complex nonlinear relationships between input
and response variables for stadium fire risk assessment. However, the output of machine …

Given that roofing contractors in the construction industry have the highest fatality rate
among specialty contractors, understanding the root cause of incidents among roofers is …

Workplace safety is always a concern of utmost importance in any organization. Studies
have shown that the fatality rate is highest in the construction industry among all other …

The emergence of machine learning algorithms presents the opportunity for a variety of
stakeholders to perform advanced predictive analytics and to make informed decisions …

Occupational safety remains of interest in the construction sector. The frequency of accidents
has decreased in Sweden but only to a level that remains constant over the last ten years …