Along with the advancement in sensing and communication technologies, the explosion in
the measurement data collected by structural health monitoring (SHM) systems installed in …

As one of the most important defects of concrete, cracks seriously threaten the service life
and safety of concrete structures, and various safety incidents caused by the collapse of …

Environmental effects may lead to cracking, stiffness loss, brace damage, and other
damages in bridges, frame structures, buildings, etc. Structural Health Monitoring (SHM) …

Deep learning-based methods, especially convolutional neural networks, have been
developed to automatically process the images of concrete surfaces for crack identification …

This paper presents bearing fault diagnosis using the image classification of different fault
patterns. Feature extraction for image classification is carried out using a novel approach of …

Printed circuit boards are versatile and highly printed, which can be widely used in various
fields, and also provide new opportunities for the development of electronic information …

Cracks in civil structures are important signs of structural degradation and may indicate the
inception of catastrophic failure. However, most of studies that have employed deep learning …

Ensuring the structural integrity of civil infrastructure and maintaining public safety
necessitates accurate and reliable periodic inspection of cracks on concrete surfaces. Image …

In order to enhance the mitigation of crack occurrence and propagation within basement
concrete structures, this research endeavors to propose an optimization methodology …

Considerable road mileage puts tremendous pressure on pavement crack detection and
maintenance. In practice, using a small parameter model for fast and accurate image-based …