Acoustic emission onset time detection for structural monitoring with U-Net neural network architecture-Reference-Cited by-同舟云学术

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Acoustic emission onset time detection for structural monitoring with U-Net neural network architecture

Published:2024-04 Issue: Volume:18 Page:100449
ISSN:2666-1659
Container-title:Developments in the Built Environment
language:en
Short-container-title:Developments in the Built Environment

Author:

Melchiorre Jonathan^ORCID,D'Amato Leo,Agostini Federico,Rizzo Antonino Maria

Publisher

Elsevier BV

Reference84 articles.

1. Classification of cracking mode in concrete by acoustic emission parameters;Aggelis;Mech. Res. Commun.,2011

2. Markovian representation of stochastic processes and its application to the analysis of autoregressive moving average processes;Akaike;Ann. Inst. Stat. Math.,1974

3. Artificial neural network methods for the solution of second order boundary value problems;Anitescu;Comput. Mater. Continua (CMC),2019

4. An automatic phase picker for local and teleseismic events;Baer;Bull. Seismol. Soc. Am.,1987

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1. Automatic recognition system for concrete cracks with support vector machine based on crack features;Scientific Reports;2024-08-29

2. An improved YOLOv5-based apple leaf disease detection method;Scientific Reports;2024-07-30

3. Deep-Learning-Based Onset Time Precision in Acoustic Emission Non-Destructive Testing;2024 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv);2024-06-12

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