[HTML][HTML] Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications

SK Baduge, S Thilakarathna, JS Perera… - Automation in …, 2022 - Elsevier
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 …

Data-driven structural health monitoring and damage detection through deep learning: State-of-the-art review

M Azimi, AD Eslamlou, G Pekcan - Sensors, 2020 - mdpi.com
Data-driven methods in structural health monitoring (SHM) is gaining popularity due to
recent technological advancements in sensors, as well as high-speed internet and cloud …

Automatic pixel-level detection of vertical cracks in asphalt pavement based on GPR investigation and improved mask R-CNN

Z Liu, JKW Yeoh, X Gu, Q Dong, Y Chen, W Wu… - Automation in …, 2023 - Elsevier
Non-destructive testing and characterization of internal vertical cracks are critical for road
maintenance by ground penetrating radar (GPR). This paper describes a mask region …

Attention-based generative adversarial network with internal damage segmentation using thermography

R Ali, YJ Cha - Automation in Construction, 2022 - Elsevier
This paper describes a real-time, high-performance deep-learning network to segment
internal damages of concrete members at the pixel level using active thermography. Unlike …

Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning

D Kang, SS Benipal, DL Gopal, YJ Cha - Automation in Construction, 2020 - Elsevier
This paper proposes an automatic crack detection, localization, and quantification method
using the integration of a faster region proposal convolutional neural network (Faster R …

Infrared machine vision and infrared thermography with deep learning: A review

Y He, B Deng, H Wang, L Cheng, K Zhou, S Cai… - Infrared physics & …, 2021 - Elsevier
Infrared imaging-based machine vision (IRMV) is the technology used to automatically
inspect, detect, and analyse infrared images (or videos) obtained by recording the intensity …

Real-time multiple damage map** using autonomous UAV and deep faster region-based neural networks for GPS-denied structures

R Ali, D Kang, G Suh, YJ Cha - Automation in Construction, 2021 - Elsevier
An autonomous unmanned aerial vehicle (UAV) system integrated with a modified faster
region-based convolutional neural network (Faster R-CNN) is proposed to identify various …

Artificial-intelligence-led revolution of construction materials: From molecules to Industry 4.0

XQ Wang, P Chen, CL Chow, D Lau - Matter, 2023 - cell.com
Industry 4.0 promotes the transformation of manufacturing industry to intelligence, which
demands advances in materials, devices, and systems of the construction industry …

The current development of structural health monitoring for bridges: a review

Z Deng, M Huang, N Wan, J Zhang - Buildings, 2023 - mdpi.com
The health monitoring system of a bridge is an important guarantee for the safe operation of
the bridge and has always been a research hotspot in the field of civil engineering. This …

Review of robot-based damage assessment for offshore wind turbines

Y Liu, M Hajj, Y Bao - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
Offshore wind turbines are subjected to highly-varying dynamic loadings and accelerated
material degradation, resulting in the need for structural health monitoring, which increases …