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科研机构
自动化研究所 [7]
合肥物质科学研究院 [3]
兰州理工大学 [2]
长春光学精密机械与物... [2]
沈阳自动化研究所 [2]
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期刊论文 [19]
会议论文 [1]
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2022 [20]
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Rolling bearing fault diagnosis by Markov transition field and multi-dimension convolutional neural network
期刊论文
Measurement Science and Technology, 2022, 卷号: 33, 期号: 11
作者:
Lei, Chunli
;
Xue, Linlin
;
Jiao, Mengxuan
;
Zhang, Huqiang
;
Shi, Jiashuo
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  |  
浏览/下载:36/0
  |  
提交时间:2022/09/22
Chemical activation
Convolution
Convolutional neural networks
Fault detection
Neural network models
Roller bearings
Activation functions
Condition
Convolutional neural network
E-rectified linear unit activation function
Faults diagnosis
Linear units
Markov transition field
Multi dimensions
Multi-dimension attention
Transition fields
Application of deep learning to soft x-ray tomography at EAST
期刊论文
PLASMA PHYSICS AND CONTROLLED FUSION, 2022, 卷号: 64
作者:
Mai, Chaowei
;
Hu, Liqun
;
Xu, Liqing
;
Chao, Yan
;
Chen, Kaiyun
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  |  
浏览/下载:14/0
  |  
提交时间:2022/12/22
deep learning
tokamak
EAST
soft x-rays
fast tomography
A wheat spike detection method based on Transformer
期刊论文
FRONTIERS IN PLANT SCIENCE, 2022, 卷号: 13
作者:
Zhou, Qiong
;
Huang, Ziliang
;
Zheng, Shijian
;
Jiao, Lin
;
Wang, Liusan
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  |  
浏览/下载:19/0
  |  
提交时间:2022/12/23
deep learning
IoU loss function
transformer
wheat spike detection
agriculture
Classification of Fine-Grained Crop Disease by Dilated Convolution and Improved Channel Attention Module
期刊论文
AGRICULTURE-BASEL, 2022, 卷号: 12
作者:
Zhang, Xiang
;
Gao, Huiyi
;
Wan, Li
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  |  
浏览/下载:12/0
  |  
提交时间:2022/12/23
fine-grained crop disease
convolutional neural networks
attention mechanism
classification
Conformalized temporal convolutional quantile regression networks for wind power interval forecasting
期刊论文
ENERGY, 2022, 卷号: 248, 页码: 16
作者:
Hu, Jianming
;
Luo, Qingxi
;
Tang, Jingwei
;
Heng, Jiani
;
Deng, Yuwen
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  |  
浏览/下载:8/0
  |  
提交时间:2023/02/07
Wind power interval prediction
Temporal convolutional network
Conformalized quantile regression
Adaptable Global Network for Whole-Brain Segmentation with Symmetry Consistency Loss
期刊论文
COGNITIVE COMPUTATION, 2022, 页码: 14
作者:
Zhao, Yuan-Xing
;
Zhang, Yan-Ming
;
Song, Ming
;
Liu, Cheng-Lin
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浏览/下载:16/0
  |  
提交时间:2022/07/25
Whole-brain segmentation
Adaptable global network
Semi-supervised learning
Symmetry consistency loss
Artificial intelligence-assisted fatigue fracture recognition based on morphing and fully convolutional networks
期刊论文
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 2022, 页码: 13
作者:
Lyu, Yetao
;
Yang, Zi
;
Liang, Hao
;
Zhang, Beini
;
Ge, Ming
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  |  
浏览/下载:15/0
  |  
提交时间:2022/07/01
artificial intelligence
failure analysis
fatigue fracture
fully convolutional network
mask R-CNN
morphing-based data augmentation
Incremental few-shot object detection via knowledge transfer
期刊论文
PATTERN RECOGNITION LETTERS, 2022, 卷号: 156, 页码: 67-73
作者:
Feng, Hangtao
;
Zhang, Lu
;
Yang, Xu
;
Liu, Zhiyong
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  |  
浏览/下载:27/0
  |  
提交时间:2022/07/25
Machine learning
Convolutional neural networks
Transfer learning
Incremental few-shot object detection
Intelligent Fault Identification Method Based on Convolutional Neural Network for Imbalanced Data
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2022, 卷号: 42, 期号: 2, 页码: 299-307
作者:
Wu, Yaochun
;
Zhao, Rongzhen
;
Jin, Wuyin
;
Xing, Ziyang
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/06/20
Convolutional neural networks
Machinery
Class spaces
Convolutional neural network
Fault identifications
Identification method
Imbalanced data
Intelligent fault diagnosis
Min-max
Min-max objective func-tion
Net work
Objective functions
MFFENet and ADANet: a robust deep transfer learning method and its application in high precision and fast cross-scene recognition of earthquake-induced landslides
期刊论文
LANDSLIDES, 2022, 页码: 31
作者:
Xu, Qingsong
;
Ouyang, Chaojun
;
Jiang, Tianhai
;
Yuan, Xin
;
Fan, Xuanmei
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/05/23
Earthquake-induced landslide recognition
Deep learning
Unsupervised domain adaptation
Multi-scale Feature Fusion with Encoder-decoder Network (MFFENet)
Adversarial Domain Adaptation Network (ADANet)
Landslide spatial analysis
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