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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [7]
金属研究所 [2]
力学研究所 [1]
成都山地灾害与环境研... [1]
长春光学精密机械与物... [1]
自动化研究所 [1]
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采集方式
OAI收割 [15]
内容类型
期刊论文 [12]
SCI/SSCI论文 [3]
发表日期
2024 [2]
2021 [3]
2020 [1]
2019 [2]
2016 [2]
2013 [1]
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固体力学::冲击动力... [1]
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浏览/检索结果:
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Learning Cross-modality Interaction for Robust Depth Perception of Autonomous Driving
期刊论文
OAI收割
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2024, 卷号: 15, 期号: 3, 页码: 26
作者:
Liang, Yunji
;
Chen, Nengzhen
;
Yu, Zhiwen
;
Tang, Lei
;
Yu, Hongkai
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2024/09/09
Cascading interaction
autonomous systems
auxiliary task
depth prediction
depth completion
Role of rainfall temporal distribution on effective infiltration in the loess slope and prediction model
期刊论文
OAI收割
ENGINEERING GEOLOGY, 2024, 卷号: 335, 页码: 12
作者:
Lin, Gan
;
Lan, Hengxing
;
Li, Ping
;
Li, Langping
;
Liu, Shijie
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2024/11/28
Rainfall temporal distribution
Shallow landslides
Rainfall infiltration depth
Loess slope
Prediction model
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:82/0
  |  
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
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:27/0
  |  
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
Numerical analysis for rock cutting force prediction in the tunnel boring process
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2021, 卷号: 144, 页码: 13
作者:
Li, Xiaojing
;
Zhang, Yaoyao
;
Sun, Xueming
  |  
收藏
  |  
浏览/下载:94/0
  |  
提交时间:2021/08/11
Tunnel boring
Prediction model
Rock cutting force
Numerical simulation
Penetration depth
Excavation damaged zone division and time-dependency deformation prediction: A case study of excavated rock mass at Xiaowan Hydropower Station
期刊论文
OAI收割
ENGINEERING GEOLOGY, 2020, 卷号: 272, 页码: 17
作者:
Bao, Han
;
Zhang, Keke
;
Yan, Changgen
;
Lan, Hengxing
;
Wu, Faquan
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2021/03/23
Excavation damaged zone division
Excavation heavily damaged zone
Acoustic wave
Time-dependency model
Unloading depth prediction
Testing unidimensional species distribution models to forecast and hindcast changes in marsh vegetation over 40 years
期刊论文
OAI收割
ECOLOGICAL INDICATORS, 2019, 卷号: 104, 页码: 341-346
作者:
Lou, Yanjing
;
Liu, Ying
;
Tang, Zhanhui
;
Jiang, Ming
;
Lu, Xianguo
  |  
收藏
  |  
浏览/下载:126/0
  |  
提交时间:2019/07/12
Environmental change
Extended Huisman-Olff-Fresco models (eHOF)
Generalized additive models (GAM)
Herbaceous marsh
Model evaluation
Prediction
Water depth
Wetlands
DSOD: DSO in Dynamic Environments
期刊论文
OAI收割
Ieee Access, 2019, 卷号: 7, 页码: 178300-178309
作者:
P.Ma
;
Y.Bai
;
J.N.Zhu
;
C.J.Wang
;
C.Peng
  |  
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2020/08/24
DSO,dynamic environments,segmentation network,depth prediction,network,Computer Science,Engineering,Telecommunications
Pedotransfer Functions for Estimating Soil Bulk Density: A Case Study in the Three-River Headwater Region of Qinghai Province, China
SCI/SSCI论文
OAI收割
2016
作者:
Yi X. S.
;
Li, G. S.
;
Yin, Y. Y.
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2017/11/09
alpine soil
artificial neural network
multiple linear regression
organic carbon
soil depth
soil texture
artificial neural-network
water-retention curves
organic-matter
content
hydraulic conductivity
forest soils
ignition loss
carbon
classification
prediction
taxonomy
Pedotransfer Functions for Estimating Soil Bulk Density: A Case Study in the Three-River Headwater Region of Qinghai Province, China
SCI/SSCI论文
OAI收割
2016
作者:
Yi X. S.
;
Li, G. S.
;
Yin, Y. Y.
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2016/12/16
alpine soil
artificial neural network
multiple linear regression
organic carbon
soil depth
soil texture
artificial neural-network
water-retention curves
organic-matter
content
hydraulic conductivity
forest soils
ignition loss
carbon
classification
prediction
taxonomy