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兰州理工大学 [108]

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	A stacking-based short-term wind power forecasting method by CBLSTM and ensemble learning 期刊论文 Journal of Renewable and Sustainable Energy, 2022, 卷号: 14, 期号: 4 作者: Wang, Nier; Li, Zhanming 收藏 \| 浏览/下载：28/0 \| 提交时间：2022/09/22 Data handling Decision trees Electric load dispatching Machine learning Weather forecasting Wind farm Ensemble learning Forecasting methods Large amounts Multi-model combination Processing capacities Short-term wind power forecasting Stacking framework Stackings Times series
	Stochastic resonance in image denoising as an alternative to traditional methods and deep learning 期刊论文 NONLINEAR DYNAMICS, 2022 作者: Shen, Mengen; Yang, Jianhua; Jiang, Wenbo; Sanjuan, Miguel A. F.; Zheng, Yuqiao 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/07/19 Blind image denoising Monostable system Stochastic resonance Deep learning BM3D
	Improved YOLO v5 Wheat Ear Detection Algorithm Based on Attention Mechanism 期刊论文 ELECTRONICS, 2022, 卷号: 11, 期号: 11 作者: Li, Rui; Wu, Yanpeng 收藏 \| 浏览/下载：15/0 \| 提交时间：2022/06/21 wheat ear deep learning CBAM YOLO v5 detection and counting
	SPSO-DBN based compensation algorithm for lackness of electric energy metering in micro-grid 期刊论文 ALEXANDRIA ENGINEERING JOURNAL, 2022, 卷号: 61, 期号: 6, 页码: 4585-4594 作者: Gao, Jinggeng; Wang, Xinggui; Yang, Weiman 收藏 \| 浏览/下载：14/0 \| 提交时间：2022/03/01 Deep belief network Particle swarm optimization Micro-grid Electric energy metering
	Adversarial domain adaptation convolutional neural network for intelligent recognition of bearing faults 期刊论文 Measurement: Journal of the International Measurement Confederation, 2022, 卷号: 195 作者: Wu, Yaochun; Zhao, Rongzhen; Ma, Hongru; He, Qiang; Du, Shaohua 收藏 \| 浏览/下载：33/0 \| 提交时间：2022/04/21 Convolution Machinery Bearing Bearing fault Convolutional neural network Domain adaptation Fault recognition Intelligent fault recognition Intelligent recognition Recognition methods Target domain Varying working conditions
	GM-Pep: A High Efficiency Strategy to De Novo Design Functional Peptide Sequences 期刊论文 JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2022, 卷号: 62, 期号: 10, 页码: 2617-2629 作者: Chen, Qushuo; Yang, Changyan; Xie, Yihao; Wang, Yuqiang; Li, Xiaoxu 收藏 \| 浏览/下载：32/0 \| 提交时间：2022/06/21 BioactivityDrug interactionsLearning systemsToxicity Auto encodersComputation methodsDe novo designFunctional peptidesHigher efficiencyMulti-classifierPeptide sequencesPeptide therapeuticsTherapeutic agentsTherapeutic peptides
	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：16/0 \| 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
	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：12/0 \| 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
	Unsupervised domain adaptation of bearing fault diagnosis based on Join Sliced Wasserstein Distance 期刊论文 ISA Transactions, 2022 作者: Chen, Pengfei; Zhao, Rongzhen; He, Tianjing; Wei, Kongyuan; Yang, Qidong 收藏 \| 浏览/下载：8/0 \| 提交时间：2022/07/20 Bearings (machine parts) Deep neural networks Fault detection Large dataset Probability distributions Bearing fault diagnosis Conditional probabilities Domain adaptation Faults diagnosis Mechanical faults diagnosis Mechanical systems Noise interference Pseudo label Sliced wasserstein distances Unsupervised domain adaptation
	A Statistical Shape-Based Patient-Specific Anatomical Structure Model 期刊论文 IEEE ACCESS, 2022, 卷号: 10, 页码: 6708-6719 作者: Xu, Zhuye; Zhao, Xiaoqiang 收藏 \| 浏览/下载：111/0 \| 提交时间：2022/03/01 Shape Computational modeling Anatomical structure Analytical models Training Solid modeling Three-dimensional displays Medical image processing shape analysis statistical shape model vertices contraction B-spline free-form deformation

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