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ORIGINAL RESEARCH article
Front. Energy Res. , 14 February 2022
Sec. Smart Grids
Volume 9 - 2021 | https://doi.org/10.3389/fenrg.2021.813650
This article is part of the Research Topic Advanced Anomaly Detection Technologies and Applications in Energy Systems View all 64 articles
A retraction of this article was approved in:
Retraction: Bone Age Assessment Based on Deep Convolutional Features and Fast Extreme Learning Machine Algorithm
Citation: Guo L, Wang J, Teng J and Chen Y (2022) Bone Age Assessment Based on Deep Convolutional Features and Fast Extreme Learning Machine Algorithm. Front. Energy Res. 9:813650. doi: 10.3389/fenrg.2021.813650
Received: 12 November 2021; Accepted: 29 November 2021;
Published: 14 February 2022; Retracted: 06 February 2025.
Edited by:
Zhenhao Tang, Northeast Electric Power University, ChinaDisclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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