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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Bibliographic Details
Main Author: R. Prenesh, Krishnan
Format: Thesis
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2014
Subjects:
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/32377
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