A comprehensive survey of sparse regularization: Fundamental, state-of-the-art methodologies and applications on fault diagnosis-Reference-Cited by-同舟云学术

A comprehensive survey of sparse regularization: Fundamental, state-of-the-art methodologies and applications on fault diagnosis

Published:2023-11 Issue: Volume:229 Page:120517
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Li Qing^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference219 articles.

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