Structural health monitoring of civil engineering structures by using the internet of things: A review
Structural health monitoring (SHM) and damage assessment of civil engineering
infrastructure are complex tasks. Structural health and strength of structures are influenced …
infrastructure are complex tasks. Structural health and strength of structures are influenced …
Applications of Industry 4.0 digital technologies towards a construction circular economy: gap analysis and conceptual framework
F Elghaish, ST Matarneh, DJ Edwards… - Construction …, 2022 - emerald.com
Purpose This paper aims to explore the emerging relationship between Industry 4.0 (I4. 0)
digital technologies (eg blockchain, Internet of Things (IoT) and artificial intelligence (AI)) …
digital technologies (eg blockchain, Internet of Things (IoT) and artificial intelligence (AI)) …
The application of “deep learning” in construction site management: scientometric, thematic and critical analysis
Purpose The digital construction transformation requires using emerging digital technology
such as deep learning to automate implementing tasks. Therefore, this paper aims to …
such as deep learning to automate implementing tasks. Therefore, this paper aims to …
Enabling human–machine collaboration in infrastructure inspections through mixed reality
In this study, we propose a novel end-to-end system called Human–Machine Collaborative
Inspection (HMCI) to enable collaboration between inspectors with Mixed Reality (MR) …
Inspection (HMCI) to enable collaboration between inspectors with Mixed Reality (MR) …
Crack detection in images of masonry using CNNs
While there is a significant body of research on crack detection by computer vision methods
in concrete and asphalt, less attention has been given to masonry. We train a convolutional …
in concrete and asphalt, less attention has been given to masonry. We train a convolutional …
Concrete bridge crack image classification using histograms of oriented gradients, uniform local binary patterns, and kernel principal component analysis
Bridges deteriorate over time, which requires the continuous monitoring of their condition.
There are many digital technologies for inspecting and monitoring bridges in real-time. In …
There are many digital technologies for inspecting and monitoring bridges in real-time. In …
Lightweight bridge crack detection method based on segnet and bottleneck depth-separable convolution with residuals
X Zheng, S Zhang, X Li, G Li, X Li - IEEE Access, 2021 - ieeexplore.ieee.org
Regular crack inspection of concrete facilities is an important means to ensure the safe
operation of the bridge. Currently, some methods based on the computer visualization have …
operation of the bridge. Currently, some methods based on the computer visualization have …
Pixel-level concrete bridge crack detection using Convolutional Neural Networks, gabor filters, and attention mechanisms
Cracks are prominent defects that significantly impact concrete bridges' structural safety and
serviceability assessments. The conventional manual bridge inspection is often limited by …
serviceability assessments. The conventional manual bridge inspection is often limited by …
[PDF][PDF] Deep CNN Approach with Visual Features for Real-Time Pavement Crack Detection.
B Kulambayev, G Astaubayeva… - … Journal of Advanced …, 2024 - researchgate.net
This research delves into an innovative approach to an age-old urban maintenance
challenge: the timely and accurate detection of pavement cracks, a key issue linked to public …
challenge: the timely and accurate detection of pavement cracks, a key issue linked to public …
Detection and identification of expansion joint gap of road bridges by machine learning using line-scan camera images
IB Kim, JS Cho, GS Zi, BS Cho, SM Lee… - Applied System …, 2021 - mdpi.com
Recently, the lack of expansion joint gaps on highway bridges in Korea has been
increasing. In particular, with the increase in the number of days during the summer …
increasing. In particular, with the increase in the number of days during the summer …