[HTML][HTML] Applications of machine learning methods for engineering risk assessment–A review

J Hegde, B Rokseth - Safety science, 2020 - Elsevier
The purpose of this article is to present a structured review of publications utilizing machine
learning methods to aid in engineering risk assessment. A keyword search is performed to …

Machine learning in occupational accident analysis: A review using science mapping approach with citation network analysis

S Sarkar, J Maiti - Safety science, 2020 - Elsevier
The present study reviews the publications that examine the application of machine learning
(ML) approaches in occupational accident analysis. The review process includes four …

Correlation analysis and text classification of chemical accident cases based on word embedding

S Jing, X Liu, X Gong, Y Tang, G Xiong, S Liu… - Process safety and …, 2022 - Elsevier
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 …

An optimization-based decision tree approach for predicting slip-trip-fall accidents at work

S Sarkar, R Raj, S Vinay, J Maiti, DK Pratihar - Safety science, 2019 - Elsevier
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 …

Factors leading to unsafe behavior in the twenty first century workplace: a review

JE Dodoo, H Al-Samarraie - Management Review Quarterly, 2019 - Springer
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 …

Identifying patterns of safety related incidents in a steel plant using association rule mining of incident investigation reports

A Verma, SD Khan, J Maiti, OB Krishna - Safety science, 2014 - Elsevier
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 …

Factors associated with unsafe work behaviours in an Iranian petrochemical company: perspectives of workers, supervisors, and safety managers

A Zahiri Harsini, F Ghofranipour, H Sanaeinasab… - BMC Public Health, 2020 - Springer
Background The petrochemical industry is hazardous, in part because of the inherently
dangerous nature of the work conducted, and incidents frequently result in significant …

Critical review on data-driven approaches for learning from accidents: comparative analysis and future research

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 …

Industrial internet of things-based collaborative sensing intelligence: framework and research challenges

Y Chen, GM Lee, L Shu, N Crespi - Sensors, 2016 - mdpi.com
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 …

Supervised machine learning techniques and genetic optimization for occupational diseases risk prediction

A Di Noia, A Martino, P Montanari, A Rizzi - Soft Computing, 2020 - Springer
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 …