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Combination of Convolutional Neural Networks and Recurrent Neural Networks for predicting soil properties using Vis-NIR spectroscopy 期刊论文
GEODERMA, 2020, 卷号: 380, 页码: 16
Authors:  Yang, Jiechao;  Wang, Xuelei;  Wang, Ruihua;  Wang, Huanjie
Favorite  |  View/Download:10/0  |  Submit date:2021/01/07
Vis-NIR spectroscopy  Convolutional Neural Network  Recurrent Neural Network  Soil properties estimation  Transfer learning  
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
Authors:  Liu, Chengbao;  Tan, Jie;  Wang, Xuelei
Favorite  |  View/Download:53/0  |  Submit date: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
Authors:  Bai, Xiwei;  Tan, Jie;  Wang, Xuelei;  Wang, Lianjing;  Liu, Chengbao;  Shi, Liyong;  Sun, Wei
View  |  Adobe PDF(6262Kb)  |  Favorite  |  View/Download:133/40  |  Submit date:2019/10/12
Lithium-ion power battery grouping  Consistency improvement  Efficiency improvement  Edge computing  Distributed time-series clustering  
A data-based optimal setting method for the coking flue gas denitration process 期刊论文
CANADIAN JOURNAL OF CHEMICAL ENGINEERING, 2019, 卷号: 97, 期号: 4, 页码: 876-887
Authors:  Li, Yaning;  Wang, Xuelei;  Liu, Zhenjie;  Bai, Xiwei;  Tan, Jie
View  |  Adobe PDF(2898Kb)  |  Favorite  |  View/Download:87/17  |  Submit date:2019/07/12
coking flue gas denitration  data-based  optimal setting  CBR  JITL  
Integrated modeling of coking flue gas indices based on mechanism model and improved neural network 期刊论文
Authors:  Li, Yaning;  Wang, Xuelei;  Tan, Jie
Favorite  |  View/Download:73/0  |  Submit date:2019/07/12
Coking  process control  neural network (NN)  mechanism model  integrated modeling  
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
Authors:  Chengbao,Liu;  Jie, Tan;  Heyuan,Shi;  Xuelei,Wang
View  |  Adobe PDF(19745Kb)  |  Favorite  |  View/Download:150/52  |  Submit date:2019/04/30
Lithium-ion Cell Screening  Time-series Clustering  Resampling  Convolutional Neural Networks  
Sensitive Quality-Relevant Fault Monitoring using Enhanced Sparse Projection to Latent Structures 会议论文
, Changsha, China, July 4-8, 2018
Authors:  Bai, Xiwei;  Wang, Xuelei;  Tan, Jie;  Qin, Wei;  Zhang, Tianren;  Sun, Wei
View  |  Adobe PDF(1527Kb)  |  Favorite  |  View/Download:31/4  |  Submit date:2020/06/12
Improved Weighted PLS for Quality-Relevant Fault Monitoring Based on Inner Matrix Similarity 会议论文
, Auckland, New Zealand, July 9-12, 2018
Authors:  Bai, Xiwei;  Wang, Xuelei;  Tan, Jie;  Sun, Wei;  Zhang, Zhiyong;  Zhang, Zhonghao
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Fault Diagnosis and Knowledge Extraction Using Fast Logical Analysis of Data with Multiple Rules Discovery Ability 会议论文
, Beijing, China, November 1-4, 2018
Authors:  Bai, Xiwei;  Wang, Xuelei;  Tan, Jie
View  |  Adobe PDF(286Kb)  |  Favorite  |  View/Download:33/6  |  Submit date:2020/06/12
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
Authors:  Liu, Chengbao;  Tan, Jie;  Shi, Heyuan;  Wang, Xuelei
View  |  Adobe PDF(19745Kb)  |  Favorite  |  View/Download:165/25  |  Submit date:2019/01/08
Lithium-ion cell screening  time-series clustering  resampling  convolutional neural networks