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Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions
期刊论文
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 卷号: 242, 页码: 13
作者:
Li, Yuan
;
Li, Jingwei
;
Wang, Huanjie
;
Liu, Chengbao
;
Tan, Jie
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/02/22
Remaining useful life
Ensemble learning
Attention mechanism
Convolutional neural network
Transfer learning
Solar cycle prediction using a combinatorial deep learning model
期刊论文
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2023, 卷号: 527, 期号: 3, 页码: 5675-5682
作者:
Su, Xu
;
Liang, Bo
;
Feng, Song
;
Cai YF(蔡云芳)
;
Dai, Wei
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  |  
浏览/下载:1/0
  |  
提交时间:2024/03/29
methods: data analysis
Sun: activity
EEGNet-based multi-source domain filter for BCI transfer learning
期刊论文
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2023, 页码: 12
作者:
Li, Mengfan
;
Li, Jundi
;
Song, Zhiyong
;
Deng, Haodong
;
Xu, Jiaming
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  |  
浏览/下载:1/0
  |  
提交时间:2024/02/22
Brain-computer interface
Multi-source domain filter
Transfer learning
Ensemble learning
EEGNet
A self-attention-based neural network for three-dimensional multivariate modeling and its skillful ENSO predictions
期刊论文
SCIENCE ADVANCES, 2023, 卷号: 9, 期号: 10, 页码: 1
作者:
Zhou, Lu
;
Zhang, Rong-Hua
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浏览/下载:0/0
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提交时间:2023/12/13
A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 177-187
作者:
Qing Xu
;
Min Wu
;
Edwin Khoo
;
Zhenghua Chen
;
Xiaoli Li
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  |  
浏览/下载:26/0
  |  
提交时间:2023/01/03
Deep learning
early prediction
lithium-ion battery
remaining useful life (RUL)
Deep Transfer Ensemble Learning-Based Diagnostic of Lithium-Ion Battery
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1899-1901
作者:
Dongxu Ji
;
Zhongbao Wei
;
Chenyang Tian
;
Haoran Cai
;
Junhua Zhao
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/08/10
Predicting the Daily Sea Ice Concentration on a Subseasonal Scale of the Pan-Arctic During the Melting Season by a Deep Learning Model
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 15
作者:
Ren, Yibin
;
Li, Xiaofeng
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浏览/下载:1/0
  |  
提交时间:2023/12/13
Predictive models
Atmospheric modeling
Sea ice
Numerical models
Arctic
Ocean temperature
Data models
Deep learning
Pan-Arctic
physically constrained loss function
sea ice concentration (SIC) prediction
subseasonal scale
Deep Learning for Brain MRI Confirms Patterned Pathological Progression in Alzheimer's Disease
期刊论文
ADVANCED SCIENCE, 2022, 页码: 19
作者:
Pan, Dan
;
Zeng, An
;
Yang, Baoyao
;
Lai, Gangyong
;
Hu, Bing
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  |  
浏览/下载:14/0
  |  
提交时间:2023/02/22
Alzheimer's disease
deep learning
longitudinal trajectories of neurodegeneration
structural magnetic resonance imaging
Fuzzy Deep Forest With Deep Contours Feature for Leaf Cultivar Classification
期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 卷号: 30, 期号: 12, 页码: 5431-5444
作者:
Zheng, Wenbo
;
Yan, Lan
;
Gou, Chao
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2023/01/09
Contour feature learning
data augmentation
deep forest
fuzzy logic
A new PM2.5 concentration forecasting system based on AdaBoost-ensemble system with deep learning approach
期刊论文
JOURNAL OF FORECASTING, 2022, 页码: 22
作者:
Li, Zhongfei
;
Gan, Kai
;
Sun, Shaolong
;
Wang, Shouyang
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  |  
浏览/下载:7/0
  |  
提交时间:2023/02/07
AdaBoost-ensemble
deep learning
hybrid data preprocessing-analysis strategy
LSTM
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