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CASIA OpenIR
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Hierarchical U-net with re-parameterization technique for spatio-temporal weather forecasting 期刊论文
MACHINE LEARNING, 2024, 页码: 19
作者:  Xu, Baowen;  Wang, Xuelei;  Li, Jingwei;  Liu, Chengbao
收藏  |  浏览/下载：33/0  |  提交时间：2024/02/21
Spatio-temporal weather forecasting  U-Net  Re-parameterization  
Multi-Objective Bayesian Optimization using Deep Gaussian Processes with Applications to Copper Smelting Optimization 会议论文
, 新加坡, 2022-12
作者:  Kang, Liwen;  Wang, Xuelei;  Wu, Zhiheng;  Wang, Ruihua
Adobe PDF(607Kb)  |  收藏  |  浏览/下载：96/23  |  提交时间：2023/06/29
A Hierarchical Modeling Method for Complex Engineering System with Hybrid Dynamics 会议论文
, Orlando, Florida, USA, 2021-12-5
作者:  Wang RH(王瑞华);  Wang XL(王学雷);  Yang JC(杨杰超);  Kang LW(康丽雯)
Adobe PDF(2562Kb)  |  收藏  |  浏览/下载：188/48  |  提交时间：2022/07/05
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：212/0  |  提交时间：2020/06/02
Multi-source data fusion  Imbalanced learning  Convolutional auto-encoder  Generative adversarial networks  Inconsistent lithium-ion cell screening  
Combination of Convolutional Neural Networks and Recurrent Neural Networks for predicting soil properties using Vis–NIR spectroscopy 期刊论文
Geoderma, 2020, 期号: 380, 页码: 114616
作者:  杨杰超;  王学雷;  王瑞华;  王焕杰
Adobe PDF(4483Kb)  |  收藏  |  浏览/下载：191/50  |  提交时间：2021/05/28
Vis–NIR spectroscopy  Convolutional Neural Network  Recurrent Neural Network  Soil properties estimation  
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;  Shi, Liyong;  Sun, Wei
浏览  |  Adobe PDF(6262Kb)  |  收藏  |  浏览/下载：468/94  |  提交时间：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
作者:  Li, Yaning;  Wang, Xuelei;  Liu, Zhenjie;  Bai, Xiwei;  Tan, Jie
浏览  |  Adobe PDF(2898Kb)  |  收藏  |  浏览/下载：346/94  |  提交时间：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
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2019, 卷号: 41, 期号: 1, 页码: 85-96
作者:  Li, Yaning;  Wang, Xuelei;  Tan, Jie
收藏  |  浏览/下载：265/0  |  提交时间：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
作者:  Chengbao,Liu;  Jie, Tan;  Heyuan,Shi;  Xuelei,Wang
浏览  |  Adobe PDF(19745Kb)  |  收藏  |  浏览/下载：350/97  |  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
浏览  |  Adobe PDF(19745Kb)  |  收藏  |  浏览/下载：360/69  |  提交时间：2019/01/08
Lithium-ion cell screening  time-series clustering  resampling  convolutional neural networks