Multi-scale hybrid attention aggregation networks for multi-modal monitoring in laser-induced thermal-crack processing-Reference-Cited by-同舟云学术

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Multi-scale hybrid attention aggregation networks for multi-modal monitoring in laser-induced thermal-crack processing

Published:2025-01 Issue: Volume:223 Page:111883
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Zhao Chunyang,Sun Jiayan,Fang Jingyi,Li Xurui,Zhao Feifan^ORCID,Lei Jianguo

Publisher

Elsevier BV

Reference38 articles.

1. A feature fusion enhanced multiscale CNN with attention mechanism for spot-welding surface appearance recognition;Xiao;Comput. Ind.,2022

2. In-situ process monitoring for metal additive manufacturing through acoustic techniques using wavelet and convolutional neural network (CNN);Hossain;Int. J. Adv. Manuf. Technol.,2021

3. Automated visual detection of geometrical defects in composite manufacturing processes using deep convolutional neural networks;Djavadifar;J. Intell. Manuf.,2021

4. Automated quality evaluation for laser cutting in lithium metal battery production using an instance segmentation convolutional neural network;Kriegler;J. Laser Appl.,2023

5. Machine vision based adaptive online condition monitoring for milling cutter under spindle rotation;You;Mech. Syst. Sig. Process.,2022

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