中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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A practical two-step framework for all-sky land surface temperature estimation
期刊论文
OAI收割
REMOTE SENSING OF ENVIRONMENT, 2024, 卷号: 303, 页码: 22
作者:
Zhang, Huanyu
;
Tang, Bo-Hui
;
Li, Zhao-Liang
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2024/04/01
All -sky land surface temperature (LST)
Hypothetical clear -sky LST
Surface energy balance
Cloud radiative forcing effect
Cloudy -sky conditions
A D-vine copula-based quantile regression towards merging satellite precipitation products over rugged topography: a case study in the upper Tekeze-Atbara Basin
期刊论文
OAI收割
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2024, 卷号: 28, 期号: 5, 页码: 1147-1172
作者:
Abdallah, Mohammed
;
Zhang, Ke
;
Chao, Lijun
;
Omer, Abubaker
;
Hassaballah, Khalid
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/04/29
A truncated test scheme design method for success-failure in-orbit tests
期刊论文
OAI收割
Reliability Engineering and System Safety, 2024, 卷号: 243
作者:
Ding, Wenzhe
;
Bai, Xiang
;
Wang, Qingwei
;
Long, Fang
;
Li, Hailin
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/12/07
IOT verification test
Sequential test
Bayesian theory
Risk calculation
Optimization
Bayesian Filtering for High-Dimensional State-Space Models With State Partition and Error Compensation
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1239-1249
作者:
Ke Li
;
Shunyi Zhao
;
Biao Huang
;
Fei Liu
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/04/10
Bayesian estimation
error compensation
high-dimensional systems
state estimation
state partition
Prediction of monthly average and extreme atmospheric temperatures in Zhengzhou based on artificial neural network and deep learning models
期刊论文
OAI收割
FRONTIERS IN FORESTS AND GLOBAL CHANGE, 2023, 卷号: 6, 页码: 1249300
作者:
Guo, Qingchun
;
He, Zhenfang
;
Wang, Zhaosheng
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/01/04
extreme atmospheric temperature
artificial neural network
deep learning
CNN-GRU
CNN-LSTM
prediction
training algorithm
forest
Calibrating a hydrodynamic model using water surface elevation determined from ICESat-2 derived cross-section and Sentinel-2 retrieved sub-pixel river width
期刊论文
OAI收割
REMOTE SENSING OF ENVIRONMENT, 2023, 卷号: 298, 页码: 113796
作者:
Zhou, Haowei
;
Liu, Suxia
;
Mo, Xingguo
;
Hu, Shi
;
Zhang, Lei
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/11/06
Hydrodynamic modeling
ICESat-2
Sentinel-2
UAS
Water surface elevation
Calibration
Robust Sparse Bayesian Two-Dimensional Direction-of-Arrival Estimation with Gain-Phase Errors
期刊论文
OAI收割
SENSORS, 2023, 卷号: 23, 期号: 23, 页码: 17
作者:
Jin, Xu
;
Wang, Xuhu
;
Hou, Yujun
;
Hao, Siyuan
;
Wang, Xinjie
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/04/07
two-dimensional direction-of-arrival (2D DOA)
gain-phase errors
sparse signal reconstruction
sparse Bayesian learning
L-shaped array
A paralleled embedding high-dimensional Bayesian optimization with additive Gaussian kernels for solving CNOP
期刊论文
OAI收割
OCEAN MODELLING, 2023, 卷号: 184, 页码: 26
作者:
Yuan, Shijin
;
Liu, Yaxuan
;
Qin, Bo
;
Mu, Bin
;
Zhang, Kun
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/12/07
Autoencoder based Bayesian optimization
Additive Gaussian kernels
Paralleled acquisition function
CNOP
Regional ocean modeling system
Upstream Kuroshio transport
Robust model for tunnel squeezing using Bayesian optimized classifiers with partially missing database
期刊论文
OAI收割
UNDERGROUND SPACE, 2023, 卷号: 10, 页码: 91
作者:
Bo, Yin
;
Huang, Xing
;
Pan, Yucong
;
Feng, Yanfang
;
Deng, Penghai
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/08/02
Tunnel squeezing hazard
Bayesian optimization
Machine learning techniques
Sparrow search algorithm
Ensemble classifier
Incomplete database
Point and interval estimation of rock mass boreability for tunnel boring machine using an improved attribute-weighted deep belief network
期刊论文
OAI收割
ACTA GEOTECHNICA, 2023, 卷号: 18, 期号: 4, 页码: 1769
作者:
Yin, Xin
;
Huang, Xing
;
Pan, Yucong
;
Liu, Quansheng
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/08/02
Bayesian optimization
Deep belief network
Field penetration index
Point and interval estimation
Rock mass boreability
Tunnel boring machine