Machine learning in occupational accident analysis: A review using science mapping approach with citation network analysis
The present study reviews the publications that examine the application of machine learning
(ML) approaches in occupational accident analysis. The review process includes four …
(ML) approaches in occupational accident analysis. The review process includes four …
Bagging-based machine learning algorithms for landslide susceptibility modeling
T Zhang, Q Fu, H Wang, F Liu, H Wang, L Han - Natural hazards, 2022 - Springer
Landslide hazards have attracted increasing public attention over the past decades due to a
series of catastrophic consequences of landslide occurrence. Thus, the mitigation and …
series of catastrophic consequences of landslide occurrence. Thus, the mitigation and …
Application of machine learning techniques for predicting the consequences of construction accidents in China
R Zhu, X Hu, J Hou, X Li - Process Safety and Environmental Protection, 2021 - Elsevier
Construction accidents can easily cause massive casualties and property losses. This
research uses machine learning technique to analyze 16 critical factors and assess the …
research uses machine learning technique to analyze 16 critical factors and assess the …
Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers
The construction industry is among the riskiest industries around the world. Hence, the
preliminary studies exploring the consequences of occupational accidents have received …
preliminary studies exploring the consequences of occupational accidents have received …
Predicting and analyzing injury severity: A machine learning-based approach using class-imbalanced proactive and reactive data
Although the utility of the machine learning (ML) techniques is established in occupational
accident domain using reactive data, its exploration in predicting injury severity using both …
accident domain using reactive data, its exploration in predicting injury severity using both …
A real-time video surveillance system for traffic pre-events detection
In this study, a conceptual framework is proposed for the development of a video
surveillance-based system for improving road safety. Based on the framework, a set of …
surveillance-based system for improving road safety. Based on the framework, a set of …
AI-based prediction of independent construction safety outcomes from universal attributes
This paper significantly improves on, and finishes to validate, an approach proposed in
previous research in which safety outcomes were predicted from attributes with machine …
previous research in which safety outcomes were predicted from attributes with machine …
Developing a national data-driven construction safety management framework with interpretable fatal accident prediction
Occupational accidents are frequent in the construction industry, containing significant risks
in the working environment. Therefore, early designation, taking preventive actions, and …
in the working environment. Therefore, early designation, taking preventive actions, and …
Investigating the impact of emerging technologies on construction safety performance
Purpose Construction safety is heavily affected by using new technologies in this growing
trend of technology adoption. Especially, safety performance is enhanced through the …
trend of technology adoption. Especially, safety performance is enhanced through the …
Machine learning techniques for liquid level estimation using FBG temperature sensor array
KP Nascimento, A Frizera-Neto, C Marques… - Optical Fiber …, 2021 - Elsevier
This paper proposes the use of the fiber Bragg grating (FBG) temperature sensors array to
estimate the fluid level. The tank is 100 cm in height and 30 cm in width, with 9 FBG sensors …
estimate the fluid level. The tank is 100 cm in height and 30 cm in width, with 9 FBG sensors …