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CAS IR Grid
机构
地理科学与资源研究... [43]
采集方式
OAI收割 [43]
内容类型
期刊论文 [43]
发表日期
2021 [43]
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发表日期:2021
专题:地理科学与资源研究所
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Characteristics and prevention mechanisms of artificial slope instability in the Chinese Loess Plateau
期刊论文
OAI收割
CATENA, 2021, 卷号: 207, 页码: 12
作者:
Zhang, Xuanchang
;
Li, Yurui
;
Liu, Yansui
;
Huang, Yunxin
;
Wang, Yongsheng
  |  
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2021/11/05
Artificial slope instability
Gully Land Consolidation project
Back Propagation Neural Network (BPNN)
Gutun watershed
Spatial Origin-Destination Flow Imputation Using Graph Convolutional Networks
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 12, 页码: 7474-7484
作者:
Yao, Xin
;
Gao, Yong
;
Zhu, Di
;
Manley, Ed
;
Wang, Jiaoe
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/09/21
Spatial databases
Gravity
Convolution
Biological system modeling
Data models
Predictive models
Neural networks
Origin-destination flow
data imputation
spatial interaction network
graph embedding
graph convolution
An Integrated CNN Model for Reconstructing and Predicting Land Use/Cover Change: A Case Study of the Baicheng Area, Northeast China
期刊论文
OAI收割
REMOTE SENSING, 2021, 卷号: 13, 期号: 23, 页码: 21
作者:
Zhang, Yubo
;
Yang, Jiuchun
;
Wang, Dongyan
;
Wang, Jing
;
Yu, Lingxue
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/09/21
land use and land cover change
machine learning algorithms
convolutional neural networks
deep learning
The Applications of Soft Computing Methods for Seepage Modeling: A Review
期刊论文
OAI收割
WATER, 2021, 卷号: 13, 期号: 23, 页码: 28
作者:
Nourani, Vahid
;
Behfar, Nazanin
;
Dabrowska, Dominika
;
Zhang, Yongqiang
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/09/21
seepage modeling
groundwater
earthfill dam
soft computing
pre
post-processing
review
Application of seismic multiattribute machine learning to determine coal strata thickness
期刊论文
OAI收割
JOURNAL OF GEOPHYSICS AND ENGINEERING, 2021, 卷号: 18, 期号: 6, 页码: 834-844
作者:
Wu, Yanhui
;
Wang, Wei
;
Zhu, Guowei
;
Wang, Peng
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/09/21
seismic multiattribute
optimal multiparameter
coal strata thickness
machine learning
back propagation artificial neural network
Application of seismic multiattribute machine learning to determine coal strata thickness
期刊论文
OAI收割
JOURNAL OF GEOPHYSICS AND ENGINEERING, 2021, 卷号: 18, 期号: 6, 页码: 834-844
作者:
Wu, Yanhui
;
Wang, Wei
;
Zhu, Guowei
;
Wang, Peng
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/09/21
seismic multiattribute
optimal multiparameter
coal strata thickness
machine learning
back propagation artificial neural network
Characteristics and prevention mechanisms of artificial slope instability in the Chinese Loess Plateau
期刊论文
OAI收割
CATENA, 2021, 卷号: 207, 页码: 12
作者:
Zhang, Xuanchang
;
Li, Yurui
;
Liu, Yansui
;
Huang, Yunxin
;
Wang, Yongsheng
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/11/05
Artificial slope instability
Gully Land Consolidation project
Back Propagation Neural Network (BPNN)
Gutun watershed
The Applications of Soft Computing Methods for Seepage Modeling: A Review
期刊论文
OAI收割
WATER, 2021, 卷号: 13, 期号: 23, 页码: 28
作者:
Nourani, Vahid
;
Behfar, Nazanin
;
Dabrowska, Dominika
;
Zhang, Yongqiang
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/09/21
seepage modeling
groundwater
earthfill dam
soft computing
pre
post-processing
review
Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4217-4230
作者:
Li, Lianfa
;
Fang, Ying
;
Wu, Jun
;
Wang, Jinfeng
;
Ge, Yong
  |  
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2021/11/05
Bias
deep learning
encoder-decoder
full residual deep network
non-linear regression
prediction of satellite aerosol optical depth (AOD) and PM2.5
spatiotemporal modeling
Semi-Supervised Convolutional Long Short-Term Memory Neural Networks for Time Series Land Cover Classification
期刊论文
OAI收割
REMOTE SENSING, 2021, 卷号: 13, 期号: 17, 页码: 18
作者:
Shen, Jing
;
Tao, Chao
;
Qi, Ji
;
Wang, Hao
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2021/11/05
image classification
Long Short-Term Memory neural network (LSTM)
remote sensing
semi-supervised learning
time series analysis