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Predicting Construction Accident Outcomes Using Graph Convolutional and Dual-Edge Safety Networks
To improve site safety status, the construction safety literature has investigated machine learning (ML) prediction models with a particular emphasis...
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Predicting Accident Outcomes in Cross-Border Pipeline Construction Projects Using Machine Learning Algorithms
Pipeline construction projects are necessary to provide gas and liquid energy transportation. Although various studies have investigated the...
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Relationship Between Accident Risk in Construction Machinery Maintenance and Eye Tracking Data
The domain of construction machinery maintenance involves high-risk tasks, such as replacing substantial components and working at elevated heights....
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Accident-CLIP: Text-Video Benchmarking for Fine-Grained Accident Classification in Driving Scenes
Road accident classification which is an essential but rarely explored problem in the safe driving field. The core issue of accident classification...
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Dangerous Scene Construction and Theoretical Exploration Based on the Identification Elements of Traffic Accident Liability
The identification of liability for traffic accidents is a key link in the process of road traffic accidents. It is a difficult problem in current...
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Prediction of Accident and Accident Severity Based on Heterogeneous Data
Studies of traffic accident analysis, as well as prediction, have traditionally relied on small-scale datasets with limited coverage, so limiting the...
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Develo** a Field-oriented Analytical Safety Assessment Model for Construction Workers
Several workplace injuries and fatalities are annually reported in the construction industry, and various efforts have been made to ensure safety....
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The effectiveness of total loss control approach in accident prevention in industries in Zimbabwe
Accident prevention in industries is an important phenomena in Zimbabwe. This review paper looks at the effectiveness of total loss control approach...
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Advances in Construction Safety Proceedings of HSFEA 2020
This book covers the details of computer-aided tools & techniques for improving work culture and minimizing accidents. The construction industry has...
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Classification of Construction Accident Court Cases Via Natural Language Processing in Hong Kong
Construction accidents often lead to injuries, pain, loss of future earnings and even deaths. One way to lower the likelihood of accidents is to levy...
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A Critical Review of How EXtended Reality (XR) has Addressed Key Factors Influencing Safety on Construction Projects (fSCPs)
The construction industry is known for its high accident rates. One hundred key factors affecting construction safety (fSCPs)—associated with general...
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Application of Ensemble Machine Learning for Construction Safety Risk Assessment
The rising prevalence of fatalities in the construction industry has prompted management to shift from traditional approaches to more advanced...
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An analysis approach for building collapse accident using system thinking approach and SEA model
The frequent occurrence of building collapse accidents not only causes significant casualties, but also jeopardizes local economies. This paper...
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Construction safety Risks Management and Construction Site
Architecture engineering and construction (AEC) represents one of the important industries with regard to the safety risks. Every construction site...
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Real-Time Traffic Forecast System for the Accident-Prone Large-Scale Transportation Network in the Seoul Metropolitan Area
This study proposes a reliable and efficient real-time forecasting platform for use in an accident-prone large-scale transportation network. We...
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Construction and Application of Knowledge Graph for Urban Rail Fire Accident
Urban rail is closely related to every aspect of people's life, but in some aspects of safety prevention and control lack of scientific and...
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Network mining techniques to analyze the risk of the occupational accident via bayesian network
Today, as the construction industry grows, the frequency of occupational accidents has risen as well. The advancement of technology, inadequacies in...
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Procedure for Traffic Accident-Prone Area Monitoring Based on Kernel Density Estimation
To prevent traffic accidents, a variety of interventions can be implemented. Among many causes of traffic accidents, the one caused by the failure of...
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Analysis of Occupational Accidents in Greek Construction Sector—the Use of Deviation in Accident Reports
Objective: This paper presents the Greek Labour Inspectorate statistics relevant to occupational accidents in the construction industry for the years...
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Road Traffic Accident Prediction Based on BP Neural Network
In order to predict road traffic accident indicators scientifically and accurately, this paper established a road traffic accident prediction model...