×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
自动化研究所 [29]
湖南大学 [21]
北京航空航天大学 [17]
大连理工大学 [14]
沈阳自动化研究所 [14]
山东大学 [12]
更多...
内容类型
期刊论文 [179]
会议论文 [25]
学位论文 [2]
其他 [1]
发表日期
2019 [207]
学科主题
Multidisci... [1]
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共207条,第1-10条
帮助
限定条件
发表日期:2019
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
发表日期升序
发表日期降序
提交时间升序
提交时间降序
题名升序
题名降序
作者升序
作者降序
Fault feature extraction of rotating machinery based on EWT and a weighted multi neighborhood rough set
期刊论文
Zhendong yu Chongji/Journal of Vibration and Shock, 2019, 卷号: 38, 期号: 24, 页码: 235-242
作者:
Wu, Yaochun
;
Zhao, Rongzhen
;
Jin, Wuyin
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/11/14
Classification (of information)
Extraction
Iterative methods
Probability
Rotating machinery
Rough set theory
Time domain analysis
Wavelet transforms
Characteristics of vibrations
Empirical wavelet transform(EWT)
Fault feature extractions
Feature selection methods
Multiple neighborhoods
Neighborhood rough sets
Probability of occurrence
Time domain characteristics
An Efficient Spectral Selection of M Giants Using XGBoost
期刊论文
The Astrophysical Journal, 2019, 卷号: 887, 期号: 2
作者:
Yi,Zhenping
;
Chen,Zesheng
;
Pan,Jingchang
;
Yue,Lili
;
Lu,Yuxiang
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2020/03/10
Astrostatistics techniques
M stars
M giant stars
Stellar classification
Accurate Building Extraction from Fused DSM and UAV Images Using a Chain Fully Convolutional Neural Network
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 24, 页码: 18
作者:
Liu, Wei
;
Yang, MengYuan
;
Xie, Meng
;
Guo, Zihui
;
Li, ErZhu
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2020/05/19
building extraction
digital surface model
unmanned aerial vehicle images
chain full convolution neural network
fusion
A novel machine learning based approach for iPS progenitor cell identification
期刊论文
PLOS COMPUTATIONAL BIOLOGY, 2019, 卷号: 15, 期号: 12, 页码: 19
作者:
Zhang, Haishan
;
Shao, Ximing
;
Peng, Yin
;
Teng, Yanning
;
Saravanan, Konda Mani
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2020/12/10
Evaluation of Lymph Node Metastasis in Advanced Gastric Cancer Using Magnetic Resonance Imaging-Based Radiomics
期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 11
作者:
Chen, Wujie
;
Wang, Siwen
;
Dong, Di
;
Gao, Xuning
;
Zhou, Kefeng
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2020/03/30
lymph node metastasis
magnetic resonance imaging
diffusion-weighted imaging
advanced gastric cancer
radiomics
Land cover dynamic change in the Napahai Basin using the optimized random forest model
期刊论文
JOURNAL OF APPLIED REMOTE SENSING, 2019, 卷号: 13, 期号: 4, 页码: 18
作者:
Bai, Chunyu
;
He, Hongming
;
Li, Yu
;
He, Wenming
;
Zhao, Hongfei
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2020/05/19
remote sensing interpretation
optimized random forest model
land cover
wetland landscape
Multi-atlas label fusion with random local binary pattern features: Application to hippocampus segmentation
期刊论文
SCIENTIFIC REPORTS, 2019, 卷号: 9, 页码: 14
作者:
Zhu, Hancan
;
Tang, Zhenyu
;
Cheng, Hewei
;
Wu, Yihong
;
Fan, Yong
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2020/03/30
An efficient framework for unsupervised feature selection
期刊论文
NEUROCOMPUTING, 2019, 卷号: 366, 页码: 194-207
作者:
Zhang, Han
;
Zhang, Rui
;
Nie, Feiping
;
Li, Xuelong
收藏
  |  
浏览/下载:95/0
  |  
提交时间:2019/10/18
Efficient unsupervised feature selection
Bipartite graph
Discrete indicator matrix
Uncorrelated regression model
Forest-Type Classification Using Time-Weighted Dynamic Time Warping Analysis in Mountain Areas: A Case Study in Southern China
期刊论文
FORESTS, 2019, 卷号: 10, 期号: 11, 页码: 18
作者:
Cheng, Kai
;
Wang, Juanle
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2020/05/19
forest type
time-weighted dynamic time warping
random forest
support vector machine
mountain area
southern China
Radiogenomic analysis of vascular endothelial growth factor in patients with diffuse gliomas
期刊论文
CANCER IMAGING, 2019, 卷号: 19, 期号: 1, 页码: 8
作者:
Sun, Zhiyan
;
Li, Yiming
;
Wang, Yinyan
;
Fan, Xing
;
Xu, Kaibin
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2020/03/30
Vascular endothelial growth factor
Diffuse gliomas
Radiomic analysis
Machine learning
©版权所有 ©2017 CSpace - Powered by
CSpace