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Cross-domain few-shot learning approach for lithium-ion battery surface defects classification using an improved siamese network 期刊论文
IEEE SENSORS JOURNAL, 2022, 页码: 1-1
作者:  Wu, Ke;  Tan, Jie;  Liu, Cheng Bao
Adobe PDF(5175Kb)  |  收藏  |  浏览/下载：338/122  |  提交时间：2022/06/14
Few-shot Learning  3D measurement  defect detection  image classification  
Lithium-Ion Power Battery Grouping: A Multisource Data Fusion-Based Clustering Approach and Distributed Deployment 期刊论文
JOURNAL OF ELECTROCHEMICAL ENERGY CONVERSION AND STORAGE, 2022, 卷号: 19, 期号: 2, 页码: 12
作者:  Wang, Yudong;  Bai, Xiwei;  Liu, Chengbao;  Tan, Jie
收藏  |  浏览/下载：246/0  |  提交时间：2022/06/10
analysis and design of components  devices  and systems  batteries  electrochemical storage  reliability  
Triplet Siamese Network Model for Lithium-ion Battery Defects Classification Using Few-shot Learning Approach 期刊论文
Journal of Physics: Conference Series, 2021, 卷号: 2078, 期号: 1, 页码: 012037
作者:  Wu,Ke;  Tan,Jie
Adobe PDF(3951Kb)  |  收藏  |  浏览/下载：241/57  |  提交时间：2021/12/28
Lithium-Ion Battery Screening by K-Means with DBSCAN for Denoising 期刊论文
CMC-COMPUTERS MATERIALS & CONTINUA, 2020, 卷号: 65, 期号: 3, 页码: 2111-2122
作者:  Wang, Yudong;  Tan, Jie;  Liu, Zhenjie;  Ditta, Allah
收藏  |  浏览/下载：155/0  |  提交时间：2021/01/07
Lithium-ion battery  battery screening  K-means  denoising