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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: 1-19
作者:  Xu, Baowen;  Wang, Xuelei;  Li, Jingwei;  Liu, Chengbao
Adobe PDF(3138Kb)  |  收藏  |  浏览/下载：101/19  |  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：147/40  |  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：233/59  |  提交时间：2022/07/05
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
Adobe PDF(6262Kb)  |  收藏  |  浏览/下载：511/108  |  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
Adobe PDF(2898Kb)  |  收藏  |  浏览/下载：390/109  |  提交时间：2019/07/12
coking flue gas denitration  data-based  optimal setting  CBR  JITL  
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
Adobe PDF(19745Kb)  |  收藏  |  浏览/下载：385/101  |  提交时间：2019/04/30
Lithium-ion Cell Screening  Time-series Clustering  Resampling  Convolutional Neural Networks  
Optimal setting for coking flue gas denitriation process indices based on PCR-multi-case fusion 会议论文
, Exeter, 21-23 June, 2017
作者:  Li YN(李亚宁);  Wang XL;  Bai XW;  Tan J;  Liu CB
Adobe PDF(7399Kb)  |  收藏  |  浏览/下载：391/106  |  提交时间：2018/06/10
Coking Flue Gas  Denitration(Dn)  Case-based Reasoning(Cbr)  Principal Component Regression(Pcr)