A task-oriented deep learning framework based on target-related transformer network for industrial quality prediction applications-Reference-Cited by-同舟云学术

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A task-oriented deep learning framework based on target-related transformer network for industrial quality prediction applications

Published:2024-07 Issue: Volume:133 Page:108361
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Wang Yalin,Dai Rao,Liu Diju^ORCID,Wang Kai,Yuan Xiaofeng,Liu Chenliang^ORCID

Publisher

Elsevier BV

Reference41 articles.

1. Dissipativity-based finite-time asynchronous output feedback control for wind turbine system via a hidden Markov model;Cheng;Int. J. Syst. Sci.,2022

2. A novel dynamic PCA algorithm for dynamic data modeling and process monitoring;Dong;J. Process Control,2018

3. A LSTM-based method with attention mechanism for adverse drug reaction sentences detection;El-allaly,2020

4. Potential, challenges and future directions for deep learning in prognostics and health management applications;Fink;Eng. Appl. Artif. Intell.,2020

5. Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing;He;Eng. Appl. Artif. Intell.,2023

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