Even if the costs due to deployment and dismantling of temporary sensors for each acquisition day might be significant, the time requirement for the post-processing is strongly reduced, since a very limited number of significant records is analysed.
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Reducing the Training Samples for Damage Detection of Existing Buildings through Self-Space Approximation Techniques.
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