Automatic microstructural characterization and classification using artificial intelligence techniques on ultrasound signals-Reference-Cited by-同舟云学术

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Automatic microstructural characterization and classification using artificial intelligence techniques on ultrasound signals

Published:2013-06 Issue:8 Volume:40 Page:3096-3105
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Nunes Thiago M.,de Albuquerque Victor Hugo C.,Papa João P.,Silva Cleiton C.,Normando Paulo G.,Moura Elineudo P.,Tavares João Manuel R.S.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference33 articles.

1. A new solution for automatic microstructures analysis from images based on a backpropagation artificial neural network;Albuquerque;Nondestructive Testing and Evaluation,2008

2. Evaluation of multilayer perceptron and self-organizing map neural network topologies applied on microstructure segmentation from metallographic images;Albuquerque;NDT & E International,2009

3. New computational solution to quantify synthetic material porosity from optical microscopic images;Albuquerque;Journal of Microscopy,2010

4. Spinodal decomposition mechanism study on the duplex stainless steel UNS S31803 using ultrasonic speed measurements;Albuquerque;Materials & Design,2010

5. Thermal aging effects on the microstructure of Nb-bearing nickel based superalloy weld overlays using ultrasound techniques;Albuquerque;Materials & Design,2012

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