[HTML][HTML] Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications
This article presents a state-of-the-art review of the applications of Artificial Intelligence (AI),
Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in …
Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in …
Real-time monitoring of construction sites: Sensors, methods, and applications
The construction industry is one of the world's largest industries, with an annual budget of
$10 trillion globally. Despite its size, the efficiency and growth in labour productivity in the …
$10 trillion globally. Despite its size, the efficiency and growth in labour productivity in the …
[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 …
Strengthening and retrofitting techniques to mitigate progressive collapse: A critical review and future research agenda
Abnormal events, that are unforeseeable low-probability and high-impact events, cause
local failure (s) to structures that can lead to the collapse of other members and, eventually …
local failure (s) to structures that can lead to the collapse of other members and, eventually …
Machine learning predictive model based on national data for fatal accidents of construction workers
The purpose of this study is to develop a prediction model that identifies the potential risk of
fatality accidents at construction sites using machine learning based on industrial accident …
fatality accidents at construction sites using machine learning based on industrial accident …
Sensor-based safety management
The construction industry has one of the most hazardous working environments worldwide,
which accounts for about 1 in every 5 occupational fatalities. The high rates of workplace …
which accounts for about 1 in every 5 occupational fatalities. The high rates of workplace …
Utilizing safety rule correlation for mobile scaffolds monitoring leveraging deep convolution neural networks
Falls from height (FFH) are still a leading cause of fatalities in the construction industry,
which also includes scaffolding-related accidents. Despite regular safety inspections …
which also includes scaffolding-related accidents. Despite regular safety inspections …
Construction safety management in the data-rich era: A hybrid review based upon three perspectives of nature of dataset, machine learning approach, and research …
Although substantial progress in safety management performance has been made in the
construction industry, continuing fatalities and injuries at workplaces hinder sustainable …
construction industry, continuing fatalities and injuries at workplaces hinder sustainable …
A machine learning-based surrogate finite element model for estimating dynamic response of mechanical systems
An efficient approach for improving the predictive understanding of dynamic mechanical
system variability is developed in this work. The approach requires low model assessment …
system variability is developed in this work. The approach requires low model assessment …
Physical laws meet machine intelligence: current developments and future directions
The advent of technology including big data has allowed machine learning technology to
strengthen its place in solving different science and engineering complex problems …
strengthen its place in solving different science and engineering complex problems …