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科研机构
大连理工大学 [17]
内容类型
期刊论文 [15]
会议论文 [2]
发表日期
2019 [17]
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共17条,第1-10条
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发表日期:2019
专题:大连理工大学
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Batch denoising of ESPI fringe patterns based on convolutional neural network
期刊论文
APPLIED OPTICS, 2019, 卷号: 58, 页码: 3338-3346
作者:
Hao, Fugui
;
Tang, Chen
;
Xu, Min
;
Lei, Zhenkun
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/02
Convolution
Neural networks
Speckle, Convolution neural network
Convolutional neural network
Electronic speckle pattern interferometry
Fringe images
Fringe pattern
Low contrast
Training dataset
Variable density, Interferometry
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets
会议论文
2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2019-01-01
作者:
Wang, Mingjie
;
Zhou, Jun
;
Mao, Wendong
;
Gong, Minglun
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Convolution
Stochastic systems, Co-adaptation
Convolution neural network
Feature reuse
Model complexity
Regularization methods
Stochastic features
Training costs
Training phase, Computer vision
Low voltage AC series arc fault detection method based on parallel deep convolutional neural network
会议论文
2nd International Symposium on Application of Materials Science and Energy Materials, SAMSE 2018, Shanghai, China, 2018-12-17
作者:
Yu, Qiongfang
;
Huang, Gaolu
;
Yang, Yi
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/02
Convolution
Electric power systems
Fault detection
Neural networks
Statistical tests, Connection mode
Convolutional neural network
Detection accuracy
Low voltages
Normal operations
Percentage points
Series arc-fault
Training data sets, Deep neural networks
Salient Object Detection with Recurrent Fully Convolutional Networks
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2019, 卷号: 41, 页码: 1734-1746
作者:
Wang, Linzhao
;
Wang, Lijun
;
Lu, Huchuan
;
Zhang, Pingping
;
Ruan, Xiang
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/02
Salient object detection
recurrent fully convolutional networks
saliency priors
network pre-training
Vibration and Friction Damping Analysis of Blades with Dovetail Attachment
期刊论文
JOURNAL OF THE CHINESE SOCIETY OF MECHANICAL ENGINEERS, 2019, 卷号: 40, 页码: 179-189
作者:
Wang, Jiao
;
Yu, Tao
;
Zhang, Yue-hao
;
Han, Qing-kai
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
compressor blade
friction damping
resonant response
normal contact stiffness
normal contact damping
End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 31959-31970
作者:
Wang, Yifan
;
Wang, Lijun
;
Wang, Hongyu
;
Li, Peihua
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Super-resolution
deep and shallow convolutional networks
end-to-end training
multi-scale reconstruction
Short text topic model with word embeddings and context information
期刊论文
Advances in Intelligent Systems and Computing, 2019, 卷号: 769, 页码: 55-64
作者:
Zhang, X.
;
Feng, R.
;
Liang, W.
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/02
Computer programming
Computer science, Context information
External knowledge
Semantic information
Semantic relatedness
Short texts
Topic Modeling
Training dataset
Word co-occurrence, Semantics
Estimating winter wheat area based on an SVM and the variable fuzzy set method
期刊论文
REMOTE SENSING LETTERS, 2019, 卷号: 10, 页码: 343-352
作者:
Hao, Zhen
;
Zhao, Hongli
;
Zhang, Chi
;
Wang, Hao
;
Jiang, Yunzhong
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/12/02
Fuzzy sets
Pixels
Remote sensing
Support vector machines, Accuracy assessment
Normalized difference vegetation index
Remote sensing images
SVM classifiers
Training sample
Variable fuzzy set
Winter wheat
Winter wheat areas, Crops, Triticum aestivum
Effectiveness of backward walking training on balance performance: A systematic review and meta-analysis
期刊论文
GAIT & POSTURE, 2019, 卷号: 68, 页码: 466-475
作者:
Wang, Junjie
;
Xu, Jian
;
An, Ruopeng
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2019/12/02
Backward walking
Balance
Systematic review
Meta-analysis
Using Wearable Sensors to Capture Posture of the Human Lumbar Spine in Competitive Swimming
期刊论文
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2019, 卷号: 49, 页码: 194-205
作者:
Wang, Zhelong
;
Wang, Jiaxin
;
Zhao, Hongyu
;
Qiu, Sen
;
Li, Jie
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/02
Human biomechanical model
inertial sensor
motion capture
orientation estimation
sensor networks
sport training
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