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A Deep Learning Method for Dynamic Process Modeling of Real Landslides Based on Fourier Neural Operator
期刊论文
EARTH AND SPACE SCIENCE, 2024, 卷号: 11, 期号: 3, 页码: 13
作者:
Chen, Yanglong
;
Ouyang, Chaojun
;
Xu, Qingsong
;
Yang, Weibin
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/04/19
deep learning
landslide
dynamic process
Fourier neural operator
data-driven method
Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 982-995
作者:
Tao Wang
;
Qiming Chen
;
Xun Lang
;
Lei Xie
;
Peng Li
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  |  
浏览/下载:3/0
  |  
提交时间:2024/03/18
Convolutional neural networks (CNNs)
deep learning
image processing
oscillation detection
process industries
One-step method to prepare coccinellaseptempunctate-like silver nanoparticles for high sensitivity SERS detection
期刊论文
SURFACES AND INTERFACES, 2022, 卷号: 35, 页码: 8
作者:
Wang, Siyu
;
Xi, Shichuan
;
Pan, Ruhao
;
Yang, Yang
;
Luan, Zhendong
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  |  
浏览/下载:19/0
  |  
提交时间:2023/01/04
Annealing process
Surface -enhanced Raman spectrometry
Phosphoethanolamine
High-pressure
Deep-sea
An End-to-End Recommendation System for Urban Traffic Controls and Management Under a Parallel Learning Framework
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 3, 页码: 1616-1626
作者:
Jin, Junchen
;
Guo, Haifeng
;
Xu, Jia
;
Wang, Xiao
;
Wang, Fei-Yue
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  |  
浏览/下载:28/0
  |  
提交时间:2021/04/27
Control systems
Urban areas
Timing
Adaptive systems
Real-time systems
Recurrent neural networks
Process control
Intelligent traffic control
traffic signal control
parallel learning
recommendation systems
deep neural networks
Gradual deep residual network for super-resolution
期刊论文
Multimedia Tools and Applications, 2021, 卷号: 80, 期号: 7, 页码: 9765-9778
作者:
Song, Zhaoyang
;
Zhao, Xiaoqiang
;
Jiang, Hongmei
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  |  
浏览/下载:2/0
  |  
提交时间:2021/06/03
Deep neural networks
Image enhancement
Optical resolving power
Benchmark datasets
High resolution image
Low resolution images
Quantitative evaluation
Reconstruction networks
Reconstruction process
State-of-the-art methods
Visual evaluation
Fault Diagnosis Based on Multi-scale LSTM-FCNs for Industrial Process
会议论文
Chengdu, China, December 17-18, 2021
作者:
Yang SJ(阳少杰)
;
Li P(里鹏)
;
Li S(李帅)
;
Zhou XF(周晓锋)
;
Jiang, Shanghong
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  |  
浏览/下载:7/0
  |  
提交时间:2022/04/13
industrial process
fault diagnosis
multi-scale feature extraction
deep neural networks
variational mode decomposition
Predicting the Noise Covariance With a Multitask Learning Model for Kalman Filter-Based GNSS/INS Integrated Navigation
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 13
作者:
Wu, Fan
;
Luo, Haiyong
;
Jia, Hongwei
;
Zhao, Fang
;
Xiao, Yimin
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  |  
浏览/下载:29/0
  |  
提交时间:2021/12/01
Adaptive integrated navigation
deep learning
denoising autoencoder (DAE)
Kalman filter (KF)
measurement noise
process noise
Transfer learning for process fault diagnosis: Knowledge transfer from simulation to physical processes
期刊论文
COMPUTERS & CHEMICAL ENGINEERING, 2020, 卷号: 139, 页码: 10
作者:
Li, Weijun
;
Gu, Sai
;
Zhang, Xiangping
;
Chen, Tao
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  |  
浏览/下载:3/0
  |  
提交时间:2020/09/22
Fault diagnosis
Transfer learning
Model-process mismatch
Deep learning
Computer simulation
Domain adaptation
A Deep Nonnegative Matrix Factorization Approach via Autoencoder for Nonlinear Fault Detection
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 8, 页码: 5042-5052
作者:
Ren, Zelin
;
Zhang, Wensheng
;
Zhang, Zhizhong
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  |  
浏览/下载:65/0
  |  
提交时间:2020/07/06
Kernel
Fault detection
Feature extraction
Matrix decomposition
Neural networks
Informatics
Data-driven fault detection
deep autoencoder
nonlinear industrial process
nonnegative matrix factorization (NMF)
The application of the scallop nanostructure in deep silicon etching
期刊论文
NANOTECHNOLOGY, 2020, 卷号: 31, 期号: 31, 页码: 1-11
作者:
Lin, Yuanwei
;
Yuan, Renzhi
;
Zhou, Ce
;
Dong, Zihan
;
Su, Ziduo
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  |  
浏览/下载:51/0
  |  
提交时间:2021/09/14
deep silicon etching
Bosch process
scallop nanostructure
fluorocarbon polymer
minimum effect
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