Structural damage detection in steel plates using artificial neural networks
The advancements and applications available in the signal processing and pattern classification area help in the early detection of faults and damages with less effort. In the recent past the nondestructive methods employed in damage detection has received more importance. This research work intends...
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| Format: | Thesis |
| Language: | English |
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Universiti Malaysia Perlis (UniMAP)
2014
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| Subjects: | |
| Online Access: | http://dspace.unimap.edu.my:80/dspace/handle/123456789/32377 |
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