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科研机构
大连理工大学 [13]
自动化研究所 [12]
武汉大学 [12]
山东大学 [7]
湖南大学 [7]
地理科学与资源研究所 [6]
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期刊论文 [97]
会议论文 [5]
发表日期
2019 [102]
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Agronomy [1]
Forestry [1]
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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
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:71/0
  |  
提交时间:2020/03/30
Invasive functional pituitary adenoma
Treatment response
Magnetic resonance imaging
Radiomics
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
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:31/0
  |  
提交时间:2020/03/30
F-18-FDG PET
radiomics
glioma
isocitrate dehydrogenase
non-invasive prediction
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
Parallel Building: A Complex System Approach for Smart Building Energy Management
期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2019, 卷号: 6, 期号: 6, 页码: 1452-1461
作者:
Almalaq, Abdulaziz
;
Hao, Jun
;
Zhang, Jun Jason
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2020/03/30
ACP theory
artificial intelligence
data acquisition
deep learning (DL)
energy consumption
machine learning
parallel energy prediction
prediction algorithms
smart grid
Benchmarking Machine Learning Algorithms for Instantaneous Net Surface Shortwave Radiation Retrieval Using Remote Sensing Data
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 21, 页码: 20
作者:
Wu, Hua
;
Ying, Wangmin
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2020/05/19
net surface shortwave radiation
MODIS
FLUXNET
Random Forest
Artificial Neural Network
Support Vector Regression
Radiomics analysis of magnetic resonance imaging improves diagnostic performance of lymph node metastasis in patients with cervical cancer
期刊论文
RADIOTHERAPY AND ONCOLOGY, 2019, 卷号: 138, 页码: 141-148
作者:
Wu, Qingxia
;
Wang, Shuo
;
Chen, Xi
;
Wang, Yan
;
Dong, Li
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2019/12/16
Radiomics
Cervical cancer
Lymph nodes
Magnetic resonance imaging
Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma
期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 118, 页码: 231-238
作者:
Lu, Wei
;
Zhong, Lianzhen
;
Dong, Di
;
Fang, Mengjie
;
Dai, Qi
收藏
  |  
浏览/下载:79/0
  |  
提交时间:2019/12/16
Forecasting
Thyroid neoplasms
Lymphatic metastasis
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