Machine Learning Models for Structural Crack Trend Analysis-Reference-Cited by-同舟云学术

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Machine Learning Models for Structural Crack Trend Analysis

Published:2023-12-21 Issue: Volume:6 Page:1-9
ISSN:
Container-title:2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI)
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Author:

Murugalingam M¹,Partheeban Pachaivannan¹,Vasanthi P¹,Raju Hemadri Prasad²,Christopher Chella Gifta³,Chokkalingam A¹

Affiliation:

1. Chennai Institute of Technology,Department of Civil Engineering,Chennai,Tamil Nadu,India

2. Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College),Department of Civil Engineering,Tirupati,AP,India,517102

3. National Engineering College,Department of Civil Engineering,Kovilpatti,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10452407/10452427/10452448.pdf?arnumber=10452448

Reference27 articles.

1. Computer vision-based concrete crack detection using U-net fully convolutional networks

2. Construction of Accurate Crack Identification on Concrete Structure using Hybrid Deep Learning Approach

3. An integrated approach to automatic pixel-level crack detection and quantification of asphalt pavement

4. Machine learning model for predicting the crack detection and pattern recognition of geopolymer concrete beams

5. Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning

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