QQ客服 官方微博 反馈留言

浏览/检索结果: 共5条，第1-5条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Revealing the multiple cathodic and anodic involved charge storage mechanism in an FeSe2 cathode for aluminium-ion batteries by in situ magnetometry 期刊论文 ENERGY & ENVIRONMENTAL SCIENCE, 2021, 页码: 9 作者:  Wang, Huaizhi;  Zhao, Linyi;  Zhang, Hao;  Liu, Yongshuai;  Yang, Li 收藏  |  浏览/下载：59/0  |  提交时间：2022/01/27 A data-driven decision-making optimization approach for inconsistent lithium-ion cell screening 期刊论文 JOURNAL OF INTELLIGENT MANUFACTURING, 2020, 卷号: 31, 期号: 4, 页码: 833-845 作者:  Liu, Chengbao;  Tan, Jie;  Wang, Xuelei 收藏  |  浏览/下载：17/0  |  提交时间：2020/06/02 Multi-source data fusion  Imbalanced learning  Convolutional auto-encoder  Generative adversarial networks  Inconsistent lithium-ion cell screening   Study on distributed lithium-ion power battery grouping scheme for efficiency and consistency improvement 期刊论文 JOURNAL OF CLEANER PRODUCTION, 2019, 卷号: 233, 页码: 429-445 作者:  Bai, Xiwei;  Tan, Jie;  Wang, Xuelei;  Wang, Lianjing;  Liu, Chengbao 收藏  |  浏览/下载：41/0  |  提交时间：2019/10/12 Lithium-ion power battery grouping  Consistency improvement  Efficiency improvement  Edge computing  Distributed time-series clustering   Lithium-Ion Cell Screening With Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data 期刊论文 IEEE ACCESS, 2018, 期号: 6, 页码: 59001 - 59014 作者:  Chengbao,Liu;  Jie, Tan;  Heyuan,Shi;  Xuelei,Wang 收藏  |  浏览/下载：38/0  |  提交时间：2019/04/30 Lithium-ion Cell Screening  Time-series Clustering  Resampling  Convolutional Neural Networks   Lithium-Ion Cell Screening W th Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data 期刊论文 IEEE ACCESS, 2018, 卷号: 6, 期号: 无, 页码: 59001-59014 作者:  Liu, Chengbao;  Tan, Jie;  Shi, Heyuan;  Wang, Xuelei 收藏  |  浏览/下载：33/0  |  提交时间：2019/01/08 Lithium-ion cell screening  time-series clustering  resampling  convolutional neural networks