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科研机构

兰州理工大学 [6]

地理科学与资源研究所 [2]

沈阳自动化研究所 [2]

南京地理与湖泊研究所 [1]

自动化研究所 [1]

西安光学精密机械研究... [1]

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期刊论文 [13]

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2021 [13]

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发表日期：2021

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	Spatial Distribution Assessment of Terrorist Attack Types Based on I-MLKNN Model 期刊论文 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 卷号: 10, 期号: 8, 页码: 22 作者: Zhao, Ruifang; Xie, Xiaolan; Zhang, Xun; Jin, Min; Hao, Mengmeng 收藏 \| 浏览/下载：17/0 \| 提交时间：2021/11/05 assessment terrorist attack types I-MLKNN multi-source factors
	A Fault Diagnosis Method of Rotating Machinery Based on LBDP 期刊论文 Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2021, 卷号: 32, 期号: 14, 页码: 1653-1658 and 1668 作者: Shi, Mingkuan; Zhao, Rongzhen 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/02/17 Dimensionality reduction Frequency domain analysis Machinery Nearest neighbor search Complex characteristics Dimensionality reduction algorithms Discriminant informations Fault classification Fault diagnosis method High dimensional feature K-nearest neighbor classifiers (KNN) Time frequency domain
	A comparison of neural networks algorithms for EEG and sEMG features based gait phases recognition 期刊论文 Biomedical Signal Processing and Control, 2021, 卷号: 68 作者: Wei, Pengna; Zhang, Jinhua; Tian, Feifei; Hong, Jun 收藏 \| 浏览/下载：91/0 \| 提交时间：2021/04/25 Surface electromyography (sEMG) Electroencephalogram (EEG) Gait phases recognition Feature dimension Feature-classifier combination
	CKLPMDP algorithm for dimension reduction of a rotor fault data set 期刊论文 Zhendong yu Chongji/Journal of Vibration and Shock, 2021, 卷号: 40, 期号: 9, 页码: 37-42 and 54 作者: An, Huang; Zhao, Rongzhen 收藏 \| 浏览/下载：10/0 \| 提交时间：2022/02/17 Data reduction Dimensionality reduction Entropy Graph algorithms Learning algorithms Nearest neighbor search Statistical tests Vector spaces Classification performance Data dimension reduction Discriminant informations Feature extraction methods K-nearest neighbor classifiers (KNN) Local manifold structure Locality-preserving Structure information
	基于局部质心均值最小距离鉴别投影的旋转机械故障数据降维分析研究期刊论文振动工程学报, 2021, 卷号: 34, 期号: 02, 页码: 421-430 作者: 石明宽; 赵荣珍收藏 \| 浏览/下载：5/0 \| 提交时间：2021/06/03 故障诊断降维局部质心均值分类器模式识别
	Dimensional reduction analysis of rotating machinery fault data based on local centroid mean minimum-distance discriminant projection 期刊论文 Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2021, 卷号: 34, 期号: 2, 页码: 421-430 作者: Shi, Ming-Kuan; Zhao, Rong-Zhen 收藏 \| 浏览/下载：6/0 \| 提交时间：2022/02/17 Dimensionality reduction Pattern recognition Rotating machinery Dimension reduction Dimension reduction algorithm Dimensional reduction Fault identifications High dimensional feature K nearest centroid neighbors Local geometric structures Strong nonlinearity
	Fault feature extraction of rolling bearing integrating KPCA and t-SNE 期刊论文 Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2021, 卷号: 34, 期号: 2, 页码: 431-440 作者: Wang, Wang-Wang; Deng, Lin-Feng; Zhao, Rong-Zhen; Wu, Yao-Chun 收藏 \| 浏览/下载：68/0 \| 提交时间：2022/02/17 Clustering algorithms Data mining Extraction Feature extraction Frequency domain analysis Nearest neighbor search Stochastic systems Time domain analysis Fault feature extractions Feature extraction methods Global and local structures High dimensional feature K-nearest neighbor classifier Kernel principal component analyses (KPCA) Rolling bearing vibration Stochastic neighbor embedding
	A self-training semi-supervised machine learning method for predictive mapping of soil classes with limited sample data 期刊论文 GEODERMA, 2021, 卷号: 384, 页码: 10 作者: Zhang, Lei; Yang, Lin; Ma, Tianwu; Shen, Feixue; Cai, Yanyan 收藏 \| 浏览/下载：28/0 \| 提交时间：2021/03/15 Digital soil sampling Machine learning Semi-supervised learning Self-training Predictive mapping
	Fault diagnosis of rotor based on Local-Global Balanced Orthogonal Discriminant Projection 期刊论文 Measurement: Journal of the International Measurement Confederation, 2021, 卷号: 168 作者: Shi, Mingkuan; Zhao, Rongzhen; Wu, Yaochun; He, Tianjing 收藏 \| 浏览/下载：17/0 \| 提交时间：2020/11/14 Fault detection Frequency domain analysis Nearest neighbor search Rotating machinery Time domain analysis Application examples Complex characteristics Discriminant informations High dimensional feature Inter-class distance K-nearest neighbor method Structure information Time frequency domain
	Generating Adversarial Samples on Multivariate Time Series using Variational Autoencoders 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1523-1538 作者: 收藏 \| 浏览/下载：56/0 \| 提交时间：2021/09/03 Adversarial machine learning deep learning multivariate time series perturbation methods

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