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
机构
金属研究所 [19]
长春光学精密机械与物... [8]
地理科学与资源研究所 [7]
地质与地球物理研究所 [3]
遥感与数字地球研究所 [2]
沈阳应用生态研究所 [2]
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OAI收割 [58]
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期刊论文 [46]
会议论文 [10]
SCI/SSCI论文 [3]
EI期刊论文 [1]
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2023 [2]
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Temporal and Spatial Variability in Soil Dissolved Organic Matter Under Different land-use Types in Southwest China
期刊论文
OAI收割
JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION, 2026, 页码: 17
作者:
Sun, Zhixiang
;
Cui, Junfang
;
Tang, Xiangyu
;
Chen, Lei
;
Tang, Jialiang
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2026/02/06
Dissolved organic matter
Fluorescence parameter
Land-use types
Temporal variability
Transfer functions
Geospatial heterogeneity-informed machine learning for mapping soil hydraulic properties across China's drylands
期刊论文
OAI收割
GEODERMA, 2025, 卷号: 464, 页码: 117622
作者:
Niu, Liantao
;
Jia, Xiaoxu
;
Dai, Xiaoliang
;
Gao, Lei
;
Huang, Laiming
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2026/01/21
Soil hydraulic parameters
Pedo-transfer functions
Machine learning
Geospatial heterogeneity
Ensemble model
Prediction of deep soil water content (0-5 m) with in-situ and remote sensing data
期刊论文
OAI收割
CATENA, 2023, 卷号: 222, 页码: 10
作者:
Zhu, Zhaocen
;
Zhao, Chunlei
;
Jia, Xiaoxu
;
Wang, Jiao
;
Shao, Mingan
  |  
收藏
  |  
浏览/下载:102/0
  |  
提交时间:2023/01/30
Soil water content
Pedo-transfer functions
Remote sensing
Chinese Loess Plateau
Prediction of deep soil water content (0-5 m) with in-situ and remote sensing data
期刊论文
OAI收割
CATENA, 2023, 卷号: 222, 页码: 10
作者:
Zhu, Zhaocen
;
Zhao, Chunlei
;
Jia, Xiaoxu
;
Wang, Jiao
;
Shao, Mingan
  |  
收藏
  |  
浏览/下载:72/0
  |  
提交时间:2023/01/30
Soil water content
Pedo-transfer functions
Remote sensing
Chinese Loess Plateau
Relationship between lake salinity and the climatic gradient in northeastern China and its implications for studying climate change
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 卷号: 805, 页码: 14
作者:
Han, Long
;
Li, Yumei
;
Zou, Yafei
;
Gao, Xinbo
;
Gu, Yongjian
  |  
收藏
  |  
浏览/下载:76/0
  |  
提交时间:2022/07/01
Lake/reservoir sediments
Climatic transfer functions
Salinization
Carbon burial
The Kernel Dynamics of Convolutional Neural Networks in ManifoldsInspec keywordsOther keywordsKey words
期刊论文
OAI收割
CHINESE JOURNAL OF ELECTRONICS, 2020, 卷号: 29, 期号: 6, 页码: 1185-1192
作者:
Wu, Wei
;
Jing, Xiaoyuan
;
Du, Wencai
  |  
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2021/03/23
convolutional neural nets
learning (artificial intelligence)
kernel-based CNN
convolutional neural network
kernel dynamics
status transfer functions
neural manifolds
layered structure
Convolutional neural networks
Kernelbased convolution
Learning dynamics
Neural manifolds
一种波浪能装置的两点系泊特性分析
期刊论文
OAI收割
太阳能学报, 2020, 卷号: 41, 期号: 12, 页码: 372
作者:
王文胜
;
游亚戈
;
姜家强
  |  
收藏
  |  
浏览/下载:61/0
  |  
提交时间:2021/10/27
wave power
wave energy conversion
mooring system
mooring cables
Newman approximation
full quadratic transfer functions
波浪能
波浪能转换
系泊系统
系泊缆
Newman近似
全QTF方法
Optimization of spatial micro-vibration simulation platform
期刊论文
OAI收割
Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2019, 卷号: 27, 期号: 12, 页码: 2590-2601
作者:
Z.-B.Xu
;
D.-Y.Zhu
;
S.He
;
J.-L.Shen
;
L.Zhao
  |  
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2020/08/24
Simulation platform,Bandwidth,Mechanisms,Natural frequencies,Transfer functions
Numerical Modeling Method for Evaluation of Image Motion Caused by Flywheel Disturbances
期刊论文
OAI收割
Guangzi Xuebao/Acta Photonica Sinica, 2019, 卷号: 48, 期号: 5
作者:
X.-X.Gong
;
L.Zhang
;
M.Xuan
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2020/08/24
Image analysis,Flywheels,Function evaluation,Jitter,Linear systems,Numerical analysis,Numerical methods,Remote sensing,Transfer functions
Adaptively-Weighted Blind Image Restoration Algorithm Based on Energy Constraint
期刊论文
OAI收割
Guangxue Xuebao/Acta Optica Sinica, 2018, 卷号: 38, 期号: 2
作者:
Su, Chang
;
Fu, Tianjiao
;
Zhang, Xingxiang
;
Ren, Jianyue
;
Jin, Longxu
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2019/09/17
Image reconstruction
Adaptive optics
Image enhancement
Image processing
Image resolution
Image texture
Optical data processing
Optical transfer function
Remote sensing
Restoration
Signal to noise ratio
Transfer functions