[HTML][HTML] Advanced digital technologies in the post-disaster reconstruction process—A review leveraging small language models

A Rawat, E Witt, M Roumyeh, I Lill - Buildings, 2024 - mdpi.com
Post-disaster reconstruction of the built environment represents a key global challenge that
looks set to remain for the foreseeable future, but it also offers significant implications for the …

Research progress in deep learning for ceramics surface defect detection

M Zhou, T Wu, Z **a, B He, LB Kong, H Su - Measurement, 2024 - Elsevier
Because the surface defects of ceramics are widely varied, traditional machine vision
algorithms are not sufficiently effective in achieving complete modeling of defective features …

Image segmentation of tunnel water leakage defects in complex environments using an improved Unet model

P Wang, G Shi - Scientific Reports, 2024 - nature.com
Computer vision technology provides an intelligent means for detecting tunnel water
leakage areas. However, the accuracy of defect feature extraction and segmentation is …

[HTML][HTML] Automatic complex concrete crack detection and quantification based on point clouds and deep learning

S Chen, G Fan, J Li, H Hao - Engineering Structures, 2025 - Elsevier
The inspection of cracks on structural surface is an essential component of structural
condition assessment. Recent advancements in image-based techniques aim to automate …

Robust monocular vision-based monitoring system for multi-target displacement measurement of bridges under complex backgrounds

W Zhu, Z Cui, L Chen, Z Zhou, X Chu, S Zhu - Mechanical Systems and …, 2025 - Elsevier
Vision-based multi-target monitoring systems for bridge structures provide a comprehensive
evaluation of structural safety. However, their application to field bridges has been …