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	Cross-Level fusion for rotating machinery fault diagnosis under compound variable working conditions 期刊论文 MEASUREMENT, 2022, 卷号: 199, 页码: 7 作者: Wang, Sihan; Wang, Dazhi; Kong, Deshan; Li, Wenhui; Wang, Huanjie 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/07/25 Intelligent fault diagnosis Few-shot learning Anti-noise Compound faults Working condition variation
	Few-shot multiscene fault diagnosis of rolling bearing under compound variable working conditions 期刊论文 IET CONTROL THEORY AND APPLICATIONS, 2022, 页码: 12 作者: Wang, Sihan; Wang, Dazhi; Kong, Deshan; Li, Wenhui; Wang, Jiaxing 收藏 \| 浏览/下载：16/0 \| 提交时间：2022/07/25
	CellNet: A Lightweight Model towards Accurate LOC-Based High-Speed Cell Detection 期刊论文 ELECTRONICS, 2022, 卷号: 11, 期号: 9, 页码: 20 作者: Long, Xianlei; Ishii, Idaku; Gu, Qingyi 收藏 \| 浏览/下载：27/0 \| 提交时间：2022/07/25 cell detection high-speed vision convolutional neural network (CNN) efficient convolutional block medical image analysis
	Method to enhance deep learning fault diagnosis by generating adversarial samples 期刊论文 Applied Soft Computing, 2022, 卷号: 116 作者: Cao, Jie; Ma, Jialin; Huang, Dailin; Yu, Ping; Wang, Jinhua 收藏 \| 浏览/下载：10/0 \| 提交时间：2022/04/21 Accident prevention Complex networks Convolutional neural networks Fault detection Generative adversarial networks Machinery Recurrent neural networks Signal to noise ratio Adversarial-signal generative adversarial network Convolutional neural network Fault diagnosis method Faults diagnosis Industrial fields Learning models Mechanical equipment Multilayers perceptrons Original sample Three models
	Yangopteris ascendens (Halle) gen. et comb. nov., a climbing alethopterid pteridosperm from the Asselian (earliest Permian) Wuda Tuff Flora 期刊论文 REVIEW OF PALAEOBOTANY AND PALYNOLOGY, 2021, 卷号: 294, 页码: 15 作者: Zhou, Weiming(周卫明）; Wan, Shan; Wan, Mingli（万明礼）; Hilton, Jason; Psenicka, Josef 收藏 \| 浏览/下载：16/0 \| 提交时间：2021/12/13 Medullosales Hooked prolongations Hooked spines Hook-climber Ecological convergence
	Current strategies for the development of fluorescence-based molecular probes for visualizing the enzymes and proteins associated with Alzheimer's disease 期刊论文 COORDINATION CHEMISTRY REVIEWS, 2021, 卷号: 427 作者: Ma, Siyue; Chen, Guang; Xu, Jie; Liu, Yuxia; Li, Guoliang 收藏 \| 浏览/下载：33/0 \| 提交时间：2021/11/18 Alzheimer's disease Fluorescence imaging Molecular Probes Enzyme Protein
	Dynamic Non-Gaussian hybrid serial modeling for industrial process monitoring 期刊论文 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：16/0 \| 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
	Current strategies for the development of fluorescence-based molecular probes for visualizing the enzymes and proteins associated with Alzheimer's disease 期刊论文 COORDINATION CHEMISTRY REVIEWS, 2021, 卷号: 427 作者: Ma, SY; Chen, G; Xu, J; Liu, YX; Li, GL 收藏 \| 浏览/下载：4/0 \| 提交时间：2022/12/02
	Bearing Intelligent Fault Diagnosis Based on Wavelet Transform and Convolutional Neural Network 期刊论文 Shock and Vibration, 2020, 卷号: 2020, 期号: 2020, 页码: 1-14 作者: Guo, Junfeng; Liu, Xingyu; Li, Shuangxue; Wang, Zhiming 收藏 \| 浏览/下载：6/0 \| 提交时间：2020/12/31 Convolution Convolutional neural networks Extraction Failure analysis Fault detection Feature extraction Wavelet transformsFault diagnosis method Fault feature extractions Feature extraction and classification Intelligent fault diagnosis Mechanical equipment Orthogonal matching pursuit Real-time fault diagnosis Time frequency transform
	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 收藏 \| 浏览/下载：64/0 \| 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)

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