中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
沈阳自动化研究所 [117]
采集方式
OAI收割 [117]
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期刊论文 [68]
会议论文 [48]
成果 [1]
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2022 [3]
2021 [10]
2020 [13]
2019 [7]
2018 [16]
2017 [15]
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共117条,第1-10条
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专题:沈阳自动化研究所
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Ocean Temperature Prediction Based on Stereo Spatial and Temporal 4-D Convolution Model
期刊论文
OAI收割
IEEE Geoscience and Remote Sensing Letters, 2022, 卷号: 19, 页码: 1-5
作者:
Zuo XY(左心怡)
;
Zhou XF(周晓锋)
;
Guo DQ(郭大权)
;
Li S(李帅)
;
Liu SR(刘舒锐)
  |  
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2021/08/28
Convolution
Dual characteristics
Ocean temperature
ocean temperature prediction
Predictive models
Robots
Sea surface
Solid modeling
stereo spatial and temporal 4-D convolution model (SST-4D-CNN).
Temperature distribution
Dsa-PAML: a parallel automated machine learning system via dual-stacked autoencoder
期刊论文
OAI收割
Neural Computing and Applications, 2022, 页码: 1-22
作者:
Liu PJ(刘朋杰)
;
Pan FC(潘福成)
;
Zhou XF(周晓锋)
;
Li S(李帅)
;
Zeng PY(曾鹏宇)
  |  
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2022/04/13
Automated machine learning
Parallel automated system
Dual-stacked autoencoder
Selective ensemble
CF-DAML: Distributed automated machine learning based on collaborative filtering
期刊论文
OAI收割
APPLIED INTELLIGENCE, 2022, 页码: 1-25
作者:
Liu PJ(刘朋杰)
;
Pan FC(潘福成)
;
Zhou XF(周晓锋)
;
Li S(李帅)
;
Jin L(金樑)
  |  
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2022/04/14
Automated machine learning
Collaborative filtering
Weighted l(1)-norm
Distributed automated system
Multilayer selective stacked ensemble
Adaptive population NSGA-III with dual control strategy for flexible job shop scheduling problem with the consideration of energy consumption and weight
期刊论文
OAI收割
Machines, 2021, 卷号: 9, 期号: 12, 页码: 1-24
作者:
Wu, Mingliang
;
Yang DS(杨东升)
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/01/13
Dual control strategy
Energy consumption
Flexible job shop scheduling problem
Makespan
NSGA-III
Online learning based underwater robotic thruster fault detection
期刊论文
OAI收割
Applied Sciences (Switzerland), 2021, 卷号: 11, 期号: 8, 页码: 1-29
作者:
Xu, Gaofei
;
Guo W(郭威)
;
Zhao Y(赵洋)
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2021/05/15
Adaptive fault detection
Online learning
Particle swarm optimization
Thruster system
Time delay estimation
Underwater robotic
A fault diagnosis method based on attention mechanism with application in Qianlong-2 autonomous underwater vehicle
期刊论文
OAI收割
OCEAN ENGINEERING, 2021, 卷号: 233, 页码: 1-12
作者:
Xia SX(夏绍轩)
;
Zhou XF(周晓锋)
;
Shi HB(史海波)
;
Li S(李帅)
;
Xu CH(徐春晖)
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/06/23
Autonomous underwater vehicle
Fault diagnosis
Attention mechanism
Deep learning
Dynamic Non-Gaussian hybrid serial modeling for industrial process monitoring
期刊论文
OAI收割
Chemometrics and Intelligent Laboratory Systems, 2021, 卷号: 216, 页码: 1-15
作者:
Li S(李帅)
;
Zhou XF(周晓锋)
;
Shi HB(史海波)
;
Pan FC(潘福成)
  |  
收藏
  |  
浏览/下载:64/0
  |  
提交时间:2021/07/17
Bayesian inference
Dynamic non-Gaussian hybrid serial modeling
Hybrid serial similarity factor
Multivariate non-Gaussianity evaluation
Process monitoring
Multimode Industrial Process Monitoring using Hierarchical Mode Division and Serial Independent Component Analysis
会议论文
OAI收割
山西太原, 2021年7月30日-8月1日
作者:
Li S(李帅)
;
Zhou XF(周晓锋)
;
Shi HB(史海波)
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/01/27
Process monitoring
multimode industrial process
transition mode
hierarchical mode division
serial independent component analysis
Fault Diagnosis Based on Multi-scale LSTM-FCNs for Industrial Process
会议论文
OAI收割
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
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2022/04/13
industrial process
fault diagnosis
multi-scale feature extraction
deep neural networks
variational mode decomposition
Comprehensive monitoring of industrial processes using multivariable characteristics evaluation and subspace decomposition
期刊论文
OAI收割
CANADIAN JOURNAL OF CHEMICAL ENGINEERING, 2021, 页码: 1-18
作者:
Li S(李帅)
;
Zhou XF(周晓锋)
;
Shi HB(史海波)
;
Pan FC(潘福成)
;
Li X(李歆)
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2021/09/09
comprehensive monitoring
fault detection
industrial processes
multivariable characteristics
subspace decomposition