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Corrosion-like Defect Severity Estimation in Pipelines Using Convolutional Neural Networks.
Guilherme Rezende Bessa Ferreira
Paula Aida Sesini
Luis Paulo Brasil de Souza
Alan Conci Kubrusly
Helon Vicente Hultmann Ayala
Published in:
SSCI (2021)
Keyphrases
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convolutional neural networks
convolutional network
accurate estimation
case study
estimation algorithm
estimation accuracy
real world
multiresolution
density estimation
monte carlo simulation
maximum likelihood estimation