Visual data captured at construction sites is a rich source of information for the day-to-day
operation of construction projects. The development of deep-learning-based methods has …

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

This study addresses the severe corrosion issues in the coastal regions of southern China
by proposing an improved YOLO v5-GOLD-NWD model. Utilizing corrosion data from the …

BIM application in the construction industry is still low in China, mainly due to the lack of
effective measures for BIM application evaluation. Therefore, this study takes BIM …

Herein, we present a method for detecting and determining the corrosion level of hydraulic
metal structure surfaces through images while reducing the difficulty of dataset annotation …

In this paper we provide insights and methods for using image segmentation for the
purposes of automatic corrosion damage detection. Automatic image analysis is needed in …

Rust removal is one of the most hazardous and difficult tasks in the restoration of steel
structures such as bridges and towers. Robotic systems provide an alternative technology …

Mechanically strong and damage-tolerant corrosion protection layers are of great
technological importance. However, corrosion protection layers with high modulus (> 1.5 …

As bridges age, manual repair decision-making methods struggle to meet growing
maintenance demands. This paper develops AI systems that can imitate experts' decision …

This paper uses transfer learning and fine-tuning approaches to explore EfficientNet smaller
models for a multiclassification task of corrosion types in above-ground storage tanks. Data …