[HTML][HTML] Deep learning in the construction industry: A review of present status and future innovations
The construction industry is known to be overwhelmed with resource planning, risk
management and logistic challenges which often result in design defects, project delivery …
management and logistic challenges which often result in design defects, project delivery …
Deep-learning-based visual data analytics for smart construction management
Visual data captured at construction sites is a rich source of information for the day-to-day
operation of construction projects. The development of deep-learning-based methods has …
operation of construction projects. The development of deep-learning-based methods has …
Automated workers' ergonomic risk assessment in manual material handling using sEMG wearable sensors and machine learning
SE Mudiyanselage, PHD Nguyen, MS Rajabi… - Electronics, 2021 - mdpi.com
Manual material handling tasks have the potential to be highly unsafe from an ergonomic
viewpoint. Safety inspections to monitor body postures can help mitigate ergonomic risks of …
viewpoint. Safety inspections to monitor body postures can help mitigate ergonomic risks of …
ANN-based automated scaffold builder activity recognition through wearable EMG and IMU sensors
SS Bangaru, C Wang, SA Busam… - Automation in …, 2021 - Elsevier
Construction worker activity recognition is essential for worker performance and safety
assessment. With the development of wearable sensing technologies, many researchers …
assessment. With the development of wearable sensing technologies, many researchers …
AI-based risk assessment for construction site disaster preparedness through deep learning-based digital twinning
Hurricanes are among the most devastating natural disasters in the United States, causing
billions of dollars of property damage and insured losses. During extreme wind events …
billions of dollars of property damage and insured losses. During extreme wind events …
[HTML][HTML] Selection of heavy machinery for earthwork activities: A multi-objective optimization approach using a genetic algorithm
Earthmoving activity is considered one of the most critical elements in construction projects.
The overall cost of earthmoving activity during construction projects can account for more …
The overall cost of earthmoving activity during construction projects can account for more …
Synthetic image data generation using BIM and computer graphics for building scene understanding
Vision-based building scene understanding (BSU) is essential to many applications such as
indoor navigation and 3D reconstruction. Deep learning excels in various BSU tasks but its …
indoor navigation and 3D reconstruction. Deep learning excels in various BSU tasks but its …
Vision-based method for semantic information extraction in construction by integrating deep learning object detection and image captioning
Recently, vision-based monitoring has been widely adopted in construction management to
improve crew productivity, reduce safety risks, and facilitate site planning. However …
improve crew productivity, reduce safety risks, and facilitate site planning. However …
[HTML][HTML] Automated vision-based construction progress monitoring in built environment through digital twin
Effective progress monitoring is ineviTable for completing the construction of building and
infrastructure projects successfully. In this digital transformation era, with the data-centric …
infrastructure projects successfully. In this digital transformation era, with the data-centric …
Computer vision for anatomical analysis of equipment in civil infrastructure projects: Theorizing the development of regression-based deep neural networks
There is high demand for heavy equipment in civil infrastructure projects and their
performance is a determinant of the successful delivery of site operations. Although …
performance is a determinant of the successful delivery of site operations. Although …