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Construction safety predictions with multi-head attention graph and sparse accident networks
16 references·0 citing·53 second hopsampled
Construction safety predictions with multi-head attention graph and sparse accident networks (2023)Construction safety predictions with mult…Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers (2021)Integrating feature engineeri…Application of machine learning techniques for predicting the consequences of construction accidents in China (2020)Application of machine learni…Machine learning predictive model based on national data for fatal accidents of construction workers (2019)Machine learning predictive m…Learning about risk: Machine learning for risk assessment (2019)Learning about risk: Machine …Accident Analysis for Construction Safety Using Latent Class Clustering and Artificial Neural Networks (2019)Accident Analysis for Constru…A risk assessment approach for enhancing construction safety performance (2019)A risk assessment approach fo…Safety leading indicators for construction sites: A machine learning approach (2018)Safety leading indicators for…A science mapping approach based review of construction safety research (2018)A science mapping approach ba…Application of machine learning to construction injury prediction (2016)Application of machine learni…Decision tree analysis of construction fall accidents involving roofers (2014)Decision tree analysis of con…Real-Time Detection System of Driver Distraction Using Machine Learning (2013)Real-Time Detection System of…Neural network analysis of construction safety management systems: a case study in Singapore (2013)Neural network analysis of co…Construction safety and digital design: A review (2011)Construction safety and digit…Risk assessment model selection in construction industry (2010)Risk assessment model selecti…Fatal falls among Hispanic construction workers (2009)Fatal falls among Hispanic co…Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines (2007)Real-Time Detection of Driver…Multiple resources and performance prediction (2002)Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges (2016)Identification and Analysis of Driver Postures for In-Vehicle Driving Activities and Secondary Tasks Recognition (2017)A Critical Review of Proactive Detection of Driver Stress Levels Based on Multimodal Measurements (2018)Normal accidents; Living with high-risk technologies (1985)Normal Accidents: Living with High Risk Technologies (1985)To Transfer is to Transform: The Circulation of Safety Knowledge (2000)Construction safety training using immersive virtual reality (2013)Overview and analysis of safety management studies in the construction industry (2014)A critical review of virtual and augmented reality (VR/AR) applications in construction safety (2017)Focus Groups: Theory and Practice (1990)Extensions of the TOPSIS for group decision-making under fuzzy environment (2000)A fuzzy approach for supplier evaluation and selection in supply chain management (2005)A state-of the-art survey of TOPSIS applications (2012)A review of application of multi-criteria decision making methods in construction (2014)Critical factors and paths influencing construction workers’ safety risk tolerances (2016)Driven to Distraction: Dual-Task Studies of Simulated Driving and Conversing on a Cellular Telephone (2001)Cell phone-induced failures of visual attention during simulated driving. (2003)On the Roles of Eye Gaze and Head Dynamics in Predicting Driver's Intent to Change Lanes (2009)Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State (2016)Detection and prediction of driver drowsiness using artificial neural network models (2017)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)The Framing of Decisions and the Psychology of Choice (1981)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)Application of optimized machine learning techniques for prediction of occupational accidents (2018)Construction site accident analysis using text mining and natural language processing techniques (2018)A Coefficient of Agreement for Nominal Scales (1960)The Measurement of Observer Agreement for Categorical Data (1977)Managing the Risks of Organizational Accidents (2016)Predicting types of occupational accidents at construction sites in Korea using random forest model (2019)Text mining-based construction site accident classification using hybrid supervised machine learning (2020)The nature of safety culture: a review of theory and research (2000)Software survey: VOSviewer, a computer program for bibliometric mapping (2009)Visualizing Bibliometric Networks (2014)A bibliometric review of the status and emerging research trends in construction safety management technologies (2020)Sensor-based safety management (2020)Computer vision technologies for safety science and management in construction: A critical review and future research directions (2021)On The Quantitative Definition of Risk (1981)Collective Mind in Organizations: Heedful Interrelating on Flight Decks (1993)The black swan: the impact of the highly improbable (2007)Future of artificial intelligence and its influence on supply chain risk management – A systematic review (2022)Fault tree analysis improvements: A bibliometric analysis and literature review (2023)Factors affecting safety performance on construction sites (1999)Identifying elements of poor construction safety management in China (2003)Contributing factors in construction accidents (2005)Automated PPE-Tool pair check system for construction safety using smart IoT (2020)Developing a Holistic Occupational Health and Safety risk assessment model: An application to a case of sustainable construction project (2021)A Review on Construction Safety: Hazards, Mitigation Strategies, and Impacted Sectors (2024)Industrial accident prevention : a safety management approach (1980)Accident patterns and prevention measures for fatal occupational falls in the construction industry (2005)Predicting fatal fall from heights accidents using random forest classification machine learning model (2022)
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References

  • 2007Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines482 cited
  • 2016Application of machine learning to construction injury prediction376 cited
  • 2011Construction safety and digital design: A review330 cited
  • 2018Safety leading indicators for construction sites: A machine learning approach314 cited
  • 2019Learning about risk: Machine learning for risk assessment292 cited
  • 2018A science mapping approach based review of construction safety research286 cited
  • 2019Machine learning predictive model based on national data for fatal accidents of construction workers251 cited
  • 2019A risk assessment approach for enhancing construction safety performance248 cited
  • 2010Risk assessment model selection in construction industry232 cited
  • 2013Real-Time Detection System of Driver Distraction Using Machine Learning193 cited
  • 2014Decision tree analysis of construction fall accidents involving roofers173 cited
  • 2020Application of machine learning techniques for predicting the consequences of construction accidents in China169 cited
  • 2019Accident Analysis for Construction Safety Using Latent Class Clustering and Artificial Neural Networks141 cited
  • 2009Fatal falls among Hispanic construction workers139 cited

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2013
Neural network analysis of construction safety management systems: a case study in Singapore
128 cited
  • 2021Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers110 cited
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