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自动化研究所 [31]
湖南大学 [31]
武汉大学 [25]
山东大学 [21]
大连理工大学 [17]
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期刊论文 [248]
会议论文 [19]
学位论文 [4]
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2019 [271]
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Predictive mapping with small field sample data using semi-supervised machine learning
期刊论文
TRANSACTIONS IN GIS, 2019, 页码: 17
作者:
Du, Fei
;
Zhu, A-Xing
;
Liu, Jing
;
Yang, Lin
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2020/05/19
An Ensemble Convolutional Neural Networks for Bearing Fault Diagnosis Using Multi-Sensor Data
期刊论文
Sensors, 2019, 卷号: 19, 期号: 23, 页码: 5300
作者:
Yang Liu(刘洋)
;
Xunshi Yan
;
Zhang CA(张陈安)
;
Wen Liu (刘文)
收藏
  |  
浏览/下载:93/0
  |  
提交时间:2020/01/02
Rotating Machinery
Fault Diagnosis
Multi-sensor Fusion
Convolutional Neural Network
Ensemble Model
Landslide Detection of Hyperspectral Remote Sensing Data Based on Deep Learning With Constrains
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 12, 页码: 5047-5060
作者:
Ye, Chengming
;
Li, Yao
;
Cui, Peng
;
Liang, Li
;
Pirasteh, Saeid
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2020/04/02
Terrain factors
Feature extraction
Hyperspectral imaging
Deep learning
Support vector machines
Deep belief network (DBN)
deep learning
feature extraction
hyperspectral data
landslide
Development and validation of an MRI-based radiomic signature for the preoperative prediction of treatment response in patients with invasive functional pituitary adenoma
期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 121, 页码: 9
作者:
Fan, Yanghua
;
Liu, Zhenyu
;
Hou, Bo
;
Li, Longfei
;
Liu, Xiaohai
收藏
  |  
浏览/下载:69/0
  |  
提交时间:2020/03/30
Invasive functional pituitary adenoma
Treatment response
Magnetic resonance imaging
Radiomics
Searching for Hot Subdwarf Stars from the LAMOST Spectra. III. Classification of Hot Subdwarf Stars in the Fourth Data Release of LAMOST Using a Deep Learning Method
期刊论文
ASTROPHYSICAL JOURNAL, 2019, 卷号: 886, 期号: 2, 页码: 10
作者:
Bu, Yude
;
Zeng, Jingjing
;
Lei, Zhenxin
;
Yi, Zhenping
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/03/10
methods: data analysis
stars: statistics
subdwarfs
A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods
期刊论文
CATENA, 2019, 卷号: 183, 页码: 17
作者:
Zhu, A-Xing
;
Miao, Yamin
;
Liu, Junzhi
;
Bai, Shibiao
;
Zeng, Canying
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2020/05/19
Landslide absence data
Sampling method
Data-driven methods
Landslide susceptibility mapping, similarity model, data mining and machine learning
Temperature Compensation of MEMS Gyroscope Based on Support Vector Machine Optimized by GA
会议论文
Xiamen, China, 2019-12-06
作者:
Yang, Yuan
;
Liu, Ying
;
Liu, Yanghong
;
Zhao, Xiaodong
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2020/03/23
MEMS gyroscope
support vector machine
genetic algorithm
temperature compensation
A Non-invasive Radiomic Method Using F-18-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With Glioma
期刊论文
FRONTIERS IN ONCOLOGY, 2019, 卷号: 9, 页码: 11
作者:
Li, Longfei
;
Mu, Wei
;
Wang, Yaning
;
Liu, Zhenyu
;
Liu, Zehua
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2020/03/30
F-18-FDG PET
radiomics
glioma
isocitrate dehydrogenase
non-invasive prediction
Experimental Simultaneous Learning of Multiple Nonclassical Correlations
期刊论文
PHYSICAL REVIEW LETTERS, 2019, 卷号: 123, 期号: 19, 页码: 6
作者:
Yang, Mu
;
Ren, Chang-liang
;
Ma, Yue-chi
;
Xiao, Ya
;
Ye, Xiang-Jun
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2020/08/24
Estimating Maize Above-Ground Biomass Using 3D Point Clouds of Multi-Source Unmanned Aerial Vehicle Data at Multi-Spatial Scales
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 22, 页码: 22
作者:
Zhu, Wanxue
;
Sun, Zhigang
;
Peng, Jinbang
;
Huang, Yaohuan
;
Li, Jing
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2020/05/19
unmanned aerial vehicle
above-ground biomass
LiDAR
crop height
machine learning
multispectral data
SfM point clouds
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