The present study reviews the publications that examine the application of machine learning (ML) approaches in occupational accident analysis. The review process includes four …
Accident precursors can provide valuable clues for risk assessment and risk warning. Trends such as the main characteristics, common causes, and high-frequency types of …
Abstract Slip-trip-fall (STF) accident is one of the leading causes of injuries. Therefore, prediction of STF is necessary prior to its occurrence at workplaces. Although there exist a …
Work-related injuries, diseases and fatalities have received considerable attention by researchers and have led to a greater awareness about incident causation in the workplace …
The aim of this paper is to find out the patterns of incidents in a steel plant in India. Occupational incidents occur in steel plant mainly in form of injury, near miss, and property …
Background The petrochemical industry is hazardous, in part because of the inherently dangerous nature of the work conducted, and incidents frequently result in significant …
Y Niu, Y Fan, X Ju - Safety science, 2024 - Elsevier
Data-driven intelligent technologies are promoting a disruptive digital transformation of human society. Industrial accident prevention is also amid this change. Although many …
The development of an efficient and cost-effective solution to solve a complex problem (eg, dynamic detection of toxic gases) is an important research issue in the industrial …
Workers healthcare gained a lot of attention recently as many countries are increasingly concerning about welfare. This paper faces the problem of predicting occupational disease …