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Computer vision framework for crack detection of civil infrastructure—A review
Civil infrastructure (eg, buildings, roads, underground tunnels) could lose its expected
physical and functional conditions after years of operation. Timely and accurate inspection …
physical and functional conditions after years of operation. Timely and accurate inspection …
A survey on image-based automation of CCTV and SSET sewer inspections
This survey presents an in-depth overview of the last 25 years of research within the field of
image-based automation of Closed-Circuit Television (CCTV) and Sewer Scanner and …
image-based automation of Closed-Circuit Television (CCTV) and Sewer Scanner and …
Evaluation of deep learning approaches based on convolutional neural networks for corrosion detection
Corrosion is a major defect in structural systems that has a significant economic impact and
can pose safety risks if left untended. Currently, an inspector visually assesses the condition …
can pose safety risks if left untended. Currently, an inspector visually assesses the condition …
[HTML][HTML] Automatic bridge crack detection using a convolutional neural network
Concrete bridge crack detection is critical to guaranteeing transportation safety. The
introduction of deep learning technology makes it possible to automatically and accurately …
introduction of deep learning technology makes it possible to automatically and accurately …
Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images
This study conducts crack identification from real-world images containing complicated
disturbance information (cracks, handwriting scripts, and background) inside steel box …
disturbance information (cracks, handwriting scripts, and background) inside steel box …
A novel convolutional neural network framework based solar irradiance prediction method
As an important part of solar power system, photovoltaic grid-connected system and solar
thermal system, solar irradiance has the inherent characteristics of variability and …
thermal system, solar irradiance has the inherent characteristics of variability and …
Damage classification for masonry historic structures using convolutional neural networks based on still images
Manual inspection (ie, visual inspection and/or with professional equipment) is the most
predominant approach for identifying and assessing superficial damage of masonry historic …
predominant approach for identifying and assessing superficial damage of masonry historic …
Human action recognition using genetic algorithms and convolutional neural networks
In this paper, an approach for human action recognition using genetic algorithms (GA) and
deep convolutional neural networks (CNN) is proposed. We demonstrate that initializing the …
deep convolutional neural networks (CNN) is proposed. We demonstrate that initializing the …
Arabic text classification using convolutional neural network and genetic algorithms
Arabic documents are massively rising due to numerous contents utilized in websites, social
media, and news articles. The classification of such documents in labelled categories is a …
media, and news articles. The classification of such documents in labelled categories is a …
[HTML][HTML] Optimal design of convolutional neural network architectures using teaching–learning-based optimization for image classification
Convolutional neural networks (CNNs) have exhibited significant performance gains over
conventional machine learning techniques in solving various real-life problems in …
conventional machine learning techniques in solving various real-life problems in …