Brunel University Research Archive(BURA) preserves and enables easy and open access to all
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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.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/24645| Title: | Shrinkage Crack Detection in Expansive Soil using Deep Convolution Neural Network and Transfer Learning |
| Authors: | Andrushia, AD Neebha, TM Umadevi, S Anand, N Cashell, KA |
| Keywords: | shrinkage crack;crack detection;expansive soil;deep learning;deep convolution;neural network |
| Issue Date: | 2022 |
| Publisher: | Springer Nature |
| Citation: | Andrushia, A.D., Neebha, T.M., Umadevi, S., Anand, N. and Cashell, K.A. (2022) 'Shrinkage Crack Detection in Expansive Soil using Deep Convolution Neural Network and Transfer Learning', KSCE Journal of Civil Engineering, 0 (in press), pp. 1-25. |
| URI: | https://bura.brunel.ac.uk/handle/2438/24645 |
| ISSN: | 1226-7988 |
| Appears in Collections: | Dept of Mechanical and Aerospace Engineering Embargoed Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed for 12 months after publication | 986.78 kB | Adobe PDF | View/Open |
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