Works matching IS 10939687 AND DT 2024 AND VI 39 AND IP 24
Results: 11
Cover Image, Volume 39, Issue 24.
- Published in:
- Computer-Aided Civil & Infrastructure Engineering, 2024, v. 39, n. 24, p. 1, doi. 10.1111/mice.13388
- Publication type:
- Article
Cover Image, Volume 39, Issue 24.
- Published in:
- Computer-Aided Civil & Infrastructure Engineering, 2024, v. 39, n. 24, p. 1, doi. 10.1111/mice.13388
- Publication type:
- Article
A visual inspection and diagnosis system for bridge rivets based on a convolutional neural network.
- Published in:
- Computer-Aided Civil & Infrastructure Engineering, 2024, v. 39, n. 24, p. 3786, doi. 10.1111/mice.13274
- By:
- Publication type:
- Article
Automated acoustic event‐based monitoring of prestressing tendons breakage in concrete bridges.
- Published in:
- Computer-Aided Civil & Infrastructure Engineering, 2024, v. 39, n. 24, p. 3700, doi. 10.1111/mice.13321
- By:
- Publication type:
- Article
A domain adaptation methodology for enhancing the classification of structural condition states in continuously monitored historical domes.
- Published in:
- Computer-Aided Civil & Infrastructure Engineering, 2024, v. 39, n. 24, p. 3721, doi. 10.1111/mice.13313
- By:
- Publication type:
- Article
A neural network‐based automated methodology to identify the crack causes in masonry structures.
- Published in:
- Computer-Aided Civil & Infrastructure Engineering, 2024, v. 39, n. 24, p. 3769, doi. 10.1111/mice.13311
- By:
- Publication type:
- Article
Bridge damage identification based on synchronous statistical moment theory of vehicle–bridge interaction.
- Published in:
- Computer-Aided Civil & Infrastructure Engineering, 2024, v. 39, n. 24, p. 3741, doi. 10.1111/mice.13298
- By:
- Publication type:
- Article
Smartphone‐based high durable strain sensor with sub‐pixel‐level accuracy and adjustable camera position.
- Published in:
- Computer-Aided Civil & Infrastructure Engineering, 2024, v. 39, n. 24, p. 3805, doi. 10.1111/mice.13383
- By:
- Publication type:
- Article
Crack pattern–based machine learning prediction of residual drift capacity in damaged masonry walls.
- Published in:
- Computer-Aided Civil & Infrastructure Engineering, 2024, v. 39, n. 24, p. 3685, doi. 10.1111/mice.13212
- By:
- Publication type:
- Article
Transformer‐based framework for accurate segmentation of high‐resolution images in structural health monitoring.
- Published in:
- Computer-Aided Civil & Infrastructure Engineering, 2024, v. 39, n. 24, p. 3670, doi. 10.1111/mice.13211
- By:
- Publication type:
- Article
Issue Information.
- Published in:
- Computer-Aided Civil & Infrastructure Engineering, 2024, v. 39, n. 24, p. 3667, doi. 10.1111/mice.13060
- Publication type:
- Article