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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：356/128  |  提交时间：2022/06/14
Few-shot Learning  3D measurement  defect detection  image classification  
A multi-source data feature fusion and expert knowledge integration approach on lithium-ion battery anomaly detection 期刊
创刊日期: 2016, 收录类别: SCI, 出版者: ASME, ISSN: 2381-6872
主办者:  Wang YD(王玉栋)
Adobe PDF(5800Kb)  |  收藏  |  浏览/下载：189/62  |  提交时间：2022/01/15
analysis and design of components  devices and systems  electrochemical engineering  
Deep prototypical networks based domain adaptation for fault diagnosis 期刊论文
JOURNAL OF INTELLIGENT MANUFACTURING, 2020, 页码: 11
作者:  Wang, Huanjie;  Bai, Xiwei;  Tan, Jie;  Yang, Jiechao
Adobe PDF(1084Kb)  |  收藏  |  浏览/下载：283/64  |  提交时间：2021/01/06
Bearing  Fault diagnosis  Domain adaptation  Prototype learning  
Colored Structured Light Patterns with Binocular Cameras for Fast and Low-cost 3-D Reconstruction 会议论文
, Beijing, China, 16-18 Aug. 2019
作者:  Xia, Hailun;  Tan, Jie;  Wu, Ke
浏览  |  Adobe PDF(487Kb)  |  收藏  |  浏览/下载：269/81  |  提交时间：2020/06/12
structured light  3-D reconstruction  colored code  stereo cameras