As civil structures age and deteriorate, it becomes crucial to conduct structural health
monitoring (SHM) to ensure safety and timely maintenance. Surface defect detection plays a …

Applying computer science techniques such as artificial intelligence (AI), deep learning (DL),
and computer vision (CV) on digital image data can help monitor and preserve cultural …

Conventional deep-learning-based inspection methods for sewer pipeline defects neglect
the complex inner environment of pipelines (eg, fog and motion blur) and real-time …

Background Cotton diceases seriously affect the yield and quality of cotton. The type of pest
or disease suffered by cotton can be determined by the disease spots on the cotton leaves …

Abstract The United Nations aims to preserve, evaluate, and conserve cultural heritage (CH)
structures as part of sustainable development. The design life expectancy of many CH …

The need for precise segmentation of tile peeling on building façades is emphasized by its
implications for efficient building maintenance, particularly in regions like Taiwan, where …

Annotation work is burdensome and challenging for developing a façade defects detector,
especially when the raw data set is large but not all useful. To alleviate the problem, this …

Façade defects not only detract from the building's aesthetics but also compromise its
performance. Furthermore, they potentially endanger pedestrians, occupants, and property …

The increasing number of accidents arising from falling objects from the façade of tall
buildings has attracted much attention globally. To regulators, a preventive approach based …

High‐resolution (HR) crack images offer more detailed information for evaluating the
structural condition and formulating effective maintenance or rehabilitation plans. However …