HIGHLIGHTS
- who: Array and colleagues from the Department of Energy System Engineering, Chung-Ang University, Seoul, South Korea have published the article: Damage Detection With an Ultrasound Array and Deep Convolutional Neural Network Fusion, in the Journal: (JOURNAL)
- what: To overcome this limitation this study proposes a new method for damage detection by fusing ultrasound measurements with recorded optical images. The experiments show that the proposed method detects ultrasounds in a variety of operational conditions even with the inherent characteristics of ultrasounds. This study compares the architectures of three state-of-the-art one-stage DCNNs . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.