Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject crack detection
Showing results 1 to 4 of 4
| Issue Date | Title | Author(s) |
|---|---|---|
| 20-Oct-2021 | Empower parameterized generative adversarial networks using a novel particle swarm optimizer: algorithms and applications | Tian, L; Wang, Z; Liu, W; Cheng, Y; Alsaadi, FE; Liu, X |
| 2020 | Higher resolution input image of convolutional neural network of reinforced concrete earthquake-generated crack classification and localization | Sadrawi, M; Husaini; Yunus, J; Irwansyah; Abbod, MF; Shieh, JS |
| 4-Sep-2021 | A New GAN-Based Approach to Data Augmentation and Image Segmentation for Crack Detection in Thermal Imaging Tests | Tian, L; Wang, Z; Liu, W; Cheng, Y; Alsaadi, FE; Liu, X |
| 2022 | Shrinkage Crack Detection in Expansive Soil using Deep Convolution Neural Network and Transfer Learning | Andrushia, AD; Neebha, TM; Umadevi, S; Anand, N; Cashell, KA |