A review on deep learning-based structural health monitoring of civil infrastructures

By Xiao-Wei Ye, T. Jin, C. Yun. 2019

317 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/b43be5d36e6bea87bb404fce4ad5bb81a87eff62

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Arman Malekloo
2. Mark A. Girolami
3. Ekin Ozer
4. Mohammad AlHamaydeh
5. Sandeep Sony
6. Kyle Dunphy
7. Miriam A. M. Capretz
8. Ayan Sadhu

In Ocean Engineering

1. Sandeep Sony
2. Kyle Dunphy
3. Miriam A. M. Capretz
4. Ayan Sadhu

Citations in the corpus

• Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights (2021, background): “Similarly, Ye et al. 33 reviewed DL application in SHM of civil infrastructures, including the history and how it developed throughout the years.”
• A systematic review of convolutional neural network-based structural condition assessment techniques (2021, background): “Recently, Ye et al. (2019) provided a 140 general survey and overview of various DL techniques in the context of SHM.”