A platform for research: civil engineering, architecture and urbanism
Data-driven methodology to detect and classify structural changes under temperature variations
Data-driven methodology to detect and classify structural changes under temperature variations
Data-driven methodology to detect and classify structural changes under temperature variations
Anaya, M. (author) / Tibaduiza, D.A. (author) / Torres-Arredondo, M.A. (author) / Pozo, F. (author) / Ruiz, M. (author) / Mujica, L.E. (author) / Rodellar, J. (author) / Fritzen, C.-P. (author)
SMART MATERIALS AND STRUCTURES ; 23 ; 045006
2014-01-01
45006 pages
Article (Journal)
English
DDC:
530
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
New Approaches to Detect and to Classify Wear Phenomena
British Library Conference Proceedings | 2009
|Deep Learning to Detect and Classify Highway Distresses Based on Optimised CNN Model
Springer Verlag | 2022
|A Novel Methodology to Classify Soil Liquefaction Using Deep Learning
Online Contents | 2020
|Monitoring and response surface methodology to detect and locate structural damage
British Library Conference Proceedings | 2003
|