The objective of this work is to determine and study, analyze and elaborate, classify and
categorize the main risk analysis and risk-assessment methods and techniques by …

The present study reviews the publications that examine the application of machine learning
(ML) approaches in occupational accident analysis. The review process includes four …

Although, the usefulness of the machine learning (ML) technique in predicting future
outcomes has been established in different domains of applications (eg, heath care), its …

Today, as the construction industry grows, the frequency of occupational accidents has risen
as well. The advancement of technology, inadequacies in workplace safety procedures, and …

Introduction Unsafe behavior increases the risk of accident at workplaces and needs to be
managed properly. The aim of the present study was to provide a model for managing and …

This paper presents a methodology for the analysis of Arctic shipping accident scenarios
using Bayesian Networks (BN). The proposed methodology is applied to a scenario …

In order to ensure sustainable maritime safety, studies based on unreported maritime
accidents in maritime transport are necessary. Such studies allow the causes of accidents …

The development of intelligence and informatization is the inevitable trend of safety
production in coal enterprises. Data mining technology plays an important role in promoting …

Mining is an economic sector with a high number of accidents. Mines are hazardous places
and workers can suffer a wide variety of injuries. Utilizing a database composed of almost …

This study proposes an improved failure mode and effect analysis (FMEA) with fuzzy
Bayesian Network (FBN) and fuzzy best-worst method (FBWM) to assess failures in plastic …