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浏览/检索结果:
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Uncertainty Quantification in Remaining Useful Life Prediction under Covariate Shift
期刊论文
Neural Computing and Applications, 2023, 页码: 28
作者:
Wang Huanjie
;
Bai Xiwei
;
Tan Jie
;
Liu Chengbao
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/06/19
Remaining useful life
Uncertainty quantification
Bayesian convolutional neural network
GraphCA: Learning From Graph Counterfactual Augmentation for Knowledge Tracing
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2108-2123
作者:
Xinhua Wang
;
Shasha Zhao
;
Lei Guo
;
Lei Zhu
;
Chaoran Cui
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/09/22
Contrastive learning
counterfactual representation
graph neural network
knowledge tracing
Deep Learning-Based Spectrum Reconstruction Method for Raman Spectroscopy
期刊论文
COATINGS, 2022, 卷号: 12
作者:
Zhou, Qian
;
Zou, Zhiyong
;
Han, Lin
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  |  
浏览/下载:7/0
  |  
提交时间:2022/12/23
Raman spectroscopy
deep learning
convolutional neural network
spectral reconstruction
Application of an emotional classification model in e-commerce text based on an improved transformer model
期刊论文
PLOS ONE, 2021, 卷号: 16, 期号: 3
作者:
Wang, Xuyang
;
Tong, Yixuan
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  |  
浏览/下载:3/0
  |  
提交时间:2021/04/12
Uncertainty quantification of bearing remaining useful life based on convolutional neural network
会议论文
Canberra, Australia, 2020-12
作者:
Wang Huanjie
;
Bai Xiwei
;
Tan, Jie
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/05/31
A novel background subtraction algorithm based on parallel vision and Bayesian GANs
期刊论文
NEUROCOMPUTING, 2020, 卷号: 394, 页码: 178-200
作者:
Zheng, Wenbo
;
Wang, Kunfeng
;
Wang, Fei-Yue
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  |  
浏览/下载:16/0
  |  
提交时间:2020/06/22
Background subtraction
Background model
Bayesian generative adversarial network
Convolutional neural networks
Parallel vision
An Animal Behavior State Estimation Method Using CCNN and BN Based System
会议论文
Beijing, China, May 22, 2020 - May 24, 2020
作者:
Li, Rui
;
Ren, Yu
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  |  
浏览/下载:15/0
  |  
提交时间:2020/11/15
Animals
Bayesian networks
Convolution
Ecology
Software engineering
Convolutional networks
Ecological protection
Estimation methods
Feature detection
Feature location
Hierarchical structures
Overall accuracies
State estimation methods
A new image classification method using CNN transfer learning and web data augmentation
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2018, 卷号: 95, 页码: 43-56
作者:
Han, Dongmei
;
Liu, Qigang
;
Fan, Weiguo
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  |  
浏览/下载:14/0
  |  
提交时间:2019/08/22
Feature transferring
Data augmentation
Convolutional neural network
Feature representation
Parameter fine-tuning
Bayesian optimization
Epileptic seizure prediction based on local mean decomposition and deep convolutional neural network
期刊论文
Journal of Supercomputing, 2018
作者:
Yu Z.
;
Nie W.
;
Zhou W.
;
Xu F.
;
Yuan S.
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  |  
浏览/下载:8/0
  |  
提交时间:2019/12/11
Bayesian linear discriminant analysis
Convolutional neural network
Deep learning
EEG
Local mean decomposition
Seizure prediction
Learning deep features to recognise speech emotion using merged deep CNN
期刊论文
IET SIGNAL PROCESSING, 2018, 卷号: 12, 页码: 713-721
作者:
Zhao, Jianfeng
;
Mao, Xia
;
Chen, Lijiang
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  |  
浏览/下载:7/0
  |  
提交时间:2019/12/30
speech recognition
learning (artificial intelligence)
emotion recognition
optimisation
speech emotion recognition
merged deep CNN
deep features
merged convolutional neural network
1D CNN branch
2D CNN branch
transfer learning
Bayesian optimisation
emotion classification
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