Cited by Chicken body temperature monitoring method in complex environment based on multi-source image fusion and deep learning

Plug-and-play method for segmenting concrete bridge cracks using the segment anything model with a fractal dimension matrix prompt DOI

Shuai Teng,

Airong Liu,

Zuxiang Situ

et al.

Automation in Construction, Journal Year: 2024, Volume and Issue: 170, P. 105906 - 105906

Published: Dec. 5, 2024

Language: Английский

Citations

Automatic Road Crack Detection Using Convolutional Neural Network Based on Semi-Supervised Learning DOI

Jun Yang, Xiaoli Sun, Shuai Teng

et al.

Engineering and Applied Sciences, Journal Year: 2024, Volume and Issue: 9(4), P. 69 - 82

Published: Aug. 30, 2024

Crack detection in pavements is a critical task for infrastructure maintenance, but it often requires extensive manual labeling of training samples, which both time-consuming and labor-intensive. To address this challenge, paper proposes semi-supervised learning approach based on DenseNet classification model to detect pavement cracks more efficiently. The primary objective leverage small set labeled samples improve the model's performance by incorporating large number unlabeled through learning. This method enhances ability generalize iteratively from new datasets. As result, proposed not only reduces need also mitigates issues related label inconsistency errors original labels. experimental results demonstrate that achieves prediction precision 96.77% recall 94.17%, with an F1 score 95.45% Intersectidn over Union (IoU) 91.30%. These metrics highlight high accuracy effectiveness crack detection. improves quality offers practical value engineering applications field making valuable tool management.

Language: Английский

Citations

Sonar combines deep learning and building information modeling for underwater crack detection of concrete structures DOI

Wenxuan Cao, Junjie Li, Xuewu Zhang

et al.

Structures, Journal Year: 2024, Volume and Issue: 70, P. 107834 - 107834

Published: Nov. 16, 2024

Language: Английский

Citations

Chicken body temperature monitoring method in complex environment based on multi-source image fusion and deep learning DOI

Pei Wang,

Pengxin Wu,

Chao Wang

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 228, P. 109689 - 109689

Published: Nov. 28, 2024

Language: Английский

Citations