Login | Register

Assessment of SHM Data Integrity by Statistical Pattern Recognition Techniques

Title:

Assessment of SHM Data Integrity by Statistical Pattern Recognition Techniques

Deeba, Farah (2010) Assessment of SHM Data Integrity by Statistical Pattern Recognition Techniques. Masters thesis, Concordia University.

[thumbnail of Deeba_MSc_S2011.pdf]
Preview
Text (application/pdf)
Deeba_MSc_S2011.pdf - Accepted Version
12MB

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Building, Civil and Environmental Engineering
Item Type:Thesis (Masters)
Authors:Deeba, Farah
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Civil Engineering
Date:23 November 2010
ID Code:7533
Deposited By: FARAH DEEBA
Deposited On:08 Jun 2011 18:03
Last Modified:18 Jan 2018 17:30
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Research related to the current document (at the CORE website)
- Research related to the current document (at the CORE website)
Back to top Back to top