中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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地理科学与资源研究所 [9]
数学与系统科学研究院 [6]
自动化研究所 [4]
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OAI收割 [44]
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期刊论文 [38]
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学位论文 [1]
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Modeling and Control of an Octopus Inspired Soft Arm under Prescribed Spatial Motion Constraints
期刊论文
OAI收割
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2023, 卷号: 109, 期号: 4, 页码: 18
作者:
Ma, Jie
;
Han, Zhiji
;
Liu, Zhijie
;
Li, Guotao
;
He, Wei
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2024/02/22
Soft robot
Four-longitudinal muscle
Dynamic model
Actuator modeling
Performance constraint
Robust inversion of SOTEM data based on different model constraints
期刊论文
OAI收割
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2023, 卷号: 66, 期号: 10, 页码: 4253-4268
作者:
Rao LiTing
;
Wu Xin
;
Guo Rui
;
Dang Bo
;
Dang RuiRong
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2023/12/27
Transient electromagnetic method
SOTEM
Inversion
Model constraint
Regularization parameter
Physics-informed deep-learning parameterization of ocean vertical mixing improves climate simulations
CNKI期刊论文
OAI收割
2022
作者:
Yuchao Zhu
;
Rong-Hua Zhang
;
James N.Moum
;
Fan Wang
;
Xiaofeng Li
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/12/18
physics-informed deep learning
climate model biases
ocean vertical-mixing parameterizations
long-term turbulence data
artificial neural networks under physics constraint
Observational constraint of process crop models suggests higher risks for global maize yield under climate change
期刊论文
OAI收割
ENVIRONMENTAL RESEARCH LETTERS, 2022, 卷号: 17, 期号: 7, 页码: 14
作者:
Yin, Xiaomeng
;
Leng, Guoyong
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/09/21
emergent constraint
machine learning
yield change
yield variability
process crop model
global
Observational constraint of process crop models suggests higher risks for global maize yield under climate change
期刊论文
OAI收割
ENVIRONMENTAL RESEARCH LETTERS, 2022, 卷号: 17, 期号: 7, 页码: 14
作者:
Yin, Xiaomeng
;
Leng, Guoyong
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/09/21
emergent constraint
machine learning
yield change
yield variability
process crop model
global
Effects of Excessive Equatorial Cold Tongue Bias on the Projections of Tropical Pacific Climate Change. Part II: The Extreme El Nino Frequency in CMIP5 Multi-Model Ensemble
期刊论文
OAI收割
ATMOSPHERE, 2021, 卷号: 12, 期号: 7, 页码: 22
作者:
Li, Gen
;
Zhang, Zhiyuan
;
Lu, Bo
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2021/12/06
extreme El Nino frequency
observational constraint
model bias
Pacific cold tongue
El Nino-like warming
Improvement of predicting ecosystem productivity by modifying carbon-water-nitrogen coupling processes in a temperate grassland
期刊论文
OAI收割
JOURNAL OF PLANT ECOLOGY, 2021, 卷号: 14, 期号: 1, 页码: 10-21
作者:
Cheng, Kai li
;
Hu, Zhong min
;
Li, Sheng gong
;
Guo, Qun
;
Hao, Yan bin
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/03/15
gross primary productivity
ecosystem model
soil water content
nitrogen constraint
sensitivity
grassland ecosystem
Improvement of predicting ecosystem productivity by modifying carbon-water-nitrogen coupling processes in a temperate grassland
期刊论文
OAI收割
JOURNAL OF PLANT ECOLOGY, 2021, 卷号: 14, 期号: 1, 页码: 10-21
作者:
Cheng, Kai li
;
Hu, Zhong min
;
Li, Sheng gong
;
Guo, Qun
;
Hao, Yan bin
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2021/03/15
gross primary productivity
ecosystem model
soil water content
nitrogen constraint
sensitivity
grassland ecosystem
Temporal and spatial variations of water resources constraint intensity on urbanization in the Shiyang River Basin, China
期刊论文
OAI收割
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2020, 页码: 18
作者:
Wang, Boyu
;
Gao, Xiang
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2021/03/16
The Shiyang River Basin
Water resources constraint intensity (WRCI)
Urbanization
Comprehensive measurement model
Temporal and spatial variations
Temporal and spatial variations of water resources constraint intensity on urbanization in the Shiyang River Basin, China
期刊论文
OAI收割
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2020, 页码: 18
作者:
Wang, Boyu
;
Gao, Xiang
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2021/03/16
The Shiyang River Basin
Water resources constraint intensity (WRCI)
Urbanization
Comprehensive measurement model
Temporal and spatial variations