Disease detection on exterior surfaces of buildings using deep learning in China.

ABSTRACT: Urban infrastructure, particularly in ageing cities, faces significant challenges in maintaining building aesthetics and structural integrity. Traditional methods for detecting diseases on building exteriors, such as manual inspections, are often inefficient, costly, and prone to errors, leading to incomplete assessments and delayed maintenance actions. This study explores the application of advanced deep learning techniques to accurately detect diseases on the exterior surfaces of buildings in urban environments, aiming to enhance detection efficiency and accuracy while providing a real-time monitoring solution that can be widely implemented in infrastructure health management. The research implemented a deep learning model that improves feature extraction and accuracy by integrating Dens

SUBMITTER: Chen Y 

PROVIDER: S-EPMC11904203 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature