Classification and analysis of deep learning applications in construction: A systematic literature review
R Khallaf, M Khallaf - Automation in construction, 2021 - Elsevier
In recent years, the construction industry has experienced an expansion in the multitude of
projects and emergent information. With the advent of deep learning, new opportunities …
projects and emergent information. With the advent of deep learning, new opportunities …
Deep learning technology for construction machinery and robotics
K You, C Zhou, L Ding - Automation in construction, 2023 - Elsevier
Construction machinery and robots are essential equipment for major infrastructure. The
application of deep learning technology can improve the construction quality and alleviate …
application of deep learning technology can improve the construction quality and alleviate …
Artificial Intelligence Methods for the Construction and Management of Buildings
S Ivanova, A Kuznetsov, R Zverev, A Rada - Sensors, 2023 - mdpi.com
Artificial intelligence covers a variety of methods and disciplines including vision, perception,
speech and dialogue, decision making and planning, problem solving, robotics and other …
speech and dialogue, decision making and planning, problem solving, robotics and other …
Additive manufacturing evolution in construction: from individual terrestrial to collective, aerial, and extraterrestrial applications
The third industrial revolution is marked by the fast-growing evolution of Additive
Manufacturing (AM) in construction. This transformative shift is driving the automation of …
Manufacturing (AM) in construction. This transformative shift is driving the automation of …
A review of unmanned aerial vehicle applications in construction management: 2016–2021
With the rapid advancement of Unmanned Aerial Vehicle (UAV) technologies in recent
years, their uses have been increasingly adopted in the architecture, engineering, and …
years, their uses have been increasingly adopted in the architecture, engineering, and …
Deep learning for detecting distresses in buildings and pavements: a critical gap analysis
Purpose The massive number of pavements and buildings coupled with the limited
inspection resources, both monetary and human, to detect distresses and recommend …
inspection resources, both monetary and human, to detect distresses and recommend …
Building and infrastructure defect detection and visualization using drone and deep learning technologies
This paper presents an accurate and stable method for object and defect detection and
visualization on building and infrastructural facilities. This method uses drones and cameras …
visualization on building and infrastructural facilities. This method uses drones and cameras …
[HTML][HTML] Automatic concrete sidewalk deficiency detection and mapping with deep learning
Vertical displacement is a common concrete slab sidewalk deficiency, which may cause trip
hazards and reduce wheelchair accessibility. This paper presents an automatic approach for …
hazards and reduce wheelchair accessibility. This paper presents an automatic approach for …
Strategies to achieve high adoption of organizational change initiatives within the AEC industry
Organizations must be adept at managing the adoption of change initiatives. However, it is
argued that more than half of change adoption efforts fail to reach their objectives. This study …
argued that more than half of change adoption efforts fail to reach their objectives. This study …
Determining ground elevations covered by vegetation on construction sites using drone-based orthoimage and convolutional neural network
Abstract Three-dimensional (3D) surveying of a construction site using an image-based
method may produce incorrect ground elevation results at vegetation-covered regions …
method may produce incorrect ground elevation results at vegetation-covered regions …