[HTML][HTML] Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications
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 …
Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in …
A review of computer vision–based structural health monitoring at local and global levels
Structural health monitoring at local and global levels using computer vision technologies
has gained much attention in the structural health monitoring community in research and …
has gained much attention in the structural health monitoring community in research and …
Advances in computer vision-based civil infrastructure inspection and monitoring
Computer vision techniques, in conjunction with acquisition through remote cameras and
unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure …
unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure …
Richer convolutional features for edge detection
In this paper, we propose an accurate edge detector using richer convolutional features
(RCF). Since objects in natural images possess various scales and aspect ratios, learning …
(RCF). Since objects in natural images possess various scales and aspect ratios, learning …
Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection
Structural health monitoring (SHM) techniques have been widely used in long-span bridges.
However, due to limitations of computational ability and data analysis methods, the …
However, due to limitations of computational ability and data analysis methods, the …
Data-driven structural health monitoring and damage detection through deep learning: State-of-the-art review
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 …
recent technological advancements in sensors, as well as high-speed internet and cloud …
A systematic review of convolutional neural network-based structural condition assessment techniques
With recent advances in non-contact sensing technology such as cameras, unmanned aerial
and ground vehicles, the structural health monitoring (SHM) community has witnessed a …
and ground vehicles, the structural health monitoring (SHM) community has witnessed a …
Towards next generation design of sustainable, durable, multi-hazard resistant, resilient, and smart civil engineering structures
The design philosophy and methodology of civil engineering structures have been
constantly evolving, from the early strength-based to more recent performance-based design …
constantly evolving, from the early strength-based to more recent performance-based design …
Machine learning paradigm for structural health monitoring
Structural health diagnosis and prognosis is the goal of structural health monitoring.
Vibration-based structural health monitoring methodology has been extensively …
Vibration-based structural health monitoring methodology has been extensively …
3D vision technologies for a self-developed structural external crack damage recognition robot
Persistent cracking and progressive damage can weaken the operational performance of
structures such as bridges, dams, and concrete buildings. Consequently, research into …
structures such as bridges, dams, and concrete buildings. Consequently, research into …