[HTML][HTML] Applications of machine learning methods for engineering risk assessment–A review
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 …
learning methods to aid in engineering risk assessment. A keyword search is performed to …
Application of optimized machine learning techniques for prediction of occupational accidents
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 …
outcomes has been established in different domains of applications (eg, heath care), its …
Artificial intelligence and Machine Learning for Real-world problems (A survey)
H Nozari, ME Sadeghi - International Journal of Innovation in Engineering, 2021 - ijie.ir
Today, the use of machine learning and artificial intelligence due to many advantages such
as simplicity, high speed, high accuracy in predicting various processes, no need for …
as simplicity, high speed, high accuracy in predicting various processes, no need for …
Identification of human errors and influencing factors: A machine learning approach
The capability of learning from accidents from different industrial sectors could prevent
similar accidents to happen. With this aim, the Multi-attribute Technological Accidents …
similar accidents to happen. With this aim, the Multi-attribute Technological Accidents …
Explaining and predicting workplace accidents using data-mining techniques
Current research into workplace risk is mainly conducted using conventional descriptive
statistics, which, however, fail to properly identify cause-effect relationships and are unable …
statistics, which, however, fail to properly identify cause-effect relationships and are unable …
Modeling road accident severity with comparisons of logistic regression, decision tree and random forest
MM Chen, MC Chen - Information, 2020 - mdpi.com
To reduce the damage caused by road accidents, researchers have applied different
techniques to explore correlated factors and develop efficient prediction models. The main …
techniques to explore correlated factors and develop efficient prediction models. The main …
Severity prediction of traffic accident using an artificial neural network
In this paper, an artificial neural network (ANN) was used to predict the injury severity of
traffic accidents based on 5973 traffic accident records occurred in Abu Dhabi over a 6‐year …
traffic accidents based on 5973 traffic accident records occurred in Abu Dhabi over a 6‐year …
Prediction of vehicle reliability performance using artificial neural networks
S Lolas, OA Olatunbosun - Expert Systems with Applications, 2008 - Elsevier
Product development is an important but also dynamic, lengthy and risky phase in the life of
a new product. The optimisation of the product development phase through extensive …
a new product. The optimisation of the product development phase through extensive …
Extraction of decision rules using genetic algorithms and simulated annealing for prediction of severity of traffic accidents by motorcyclists
H Ospina-Mateus, LA Quintana Jiménez… - Journal of ambient …, 2021 - Springer
The objective of this study is to analysis of accident of motorcyclists on Bogotá roads in
Colombia. For detection of conditions related to crashes and their severity, the proposed …
Colombia. For detection of conditions related to crashes and their severity, the proposed …
Road accident prediction and model interpretation using a hybrid K-means and random forest algorithm approach
SS Yassin, Pooja - SN Applied Sciences, 2020 - Springer
Road accident severity is a major concern of the world, particularly in underdeveloped
countries. Understanding the primary and contributing factors may combat road traffic …
countries. Understanding the primary and contributing factors may combat road traffic …