Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are emerging
techniques capable of delivering elegant and affordable solutions which can surpass those …

In recent years, a step change has been seen in the rate of adoption of Industry 4.0
technologies by manufacturers and industrial organizations alike. This article discusses the …

While unavoidable, inspections, progress monitoring, and comparing as-planned with as-
built conditions in construction projects do not readily add tangible intrinsic value to the end …

Detecting the presence of workers, plant, equipment, and materials (ie objects) on sites to
improve safety and productivity has formed an integral part of computer vision-based …

Wake destructive behavior and vortex shedding behind bluff bodies may be controlled by
use of active and passive methods. Computational fluid dynamics, experimental and …

One of the most important hydraulic structures that has been overlooked is culverts. Regular
maintenance and inspections are required to ensure that these structures are used …

Complex industrial problems coupled with the availability of a more robust computing
infrastructure present many challenges and opportunities for machine learning (ML) in the …

In the construction industry, especially for civil infrastructure projects, a large portion of
overall project expenses are allocated towards various costs associated with heavy …

Neural Network (CNN) has been extensively employed by diversified applications
concerned images or videos data. Because training a specific CNN model for an application …

In construction automation, robotic solution is becoming an emerging technology with the
advent of artificial intelligence and advancement in mechatronic systems. In construction …