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Chinese Academy of Sciences Institutional Repositories Grid
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自动化研究所 [22]
地理科学与资源研究... [14]
计算技术研究所 [7]
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OAI收割 [51]
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期刊论文 [50]
SCI/SSCI论文 [1]
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2026 [3]
2025 [4]
2024 [8]
2023 [11]
2022 [7]
2021 [4]
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Interpretable machine learning and uncertainty quantification for high-precision fractional vegetation cover inversion across scales in alpine grasslands
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2026, 卷号: 148, 页码: 105212
作者:
Chen, Jianjun
;
Li, Xinhong
;
Yi, Shuhua
;
Wang, Zhiwei
;
Chen, Zizhen
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收藏
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浏览/下载:0/0
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提交时间:2026/04/16
Fractional Vegetation Cover
Transfer Learning
Inversion Uncertainty Quantifying
SHapley Additive exPlanations
Global uncertainty of various downward shortwave solar radiation products
期刊论文
OAI收割
ENERGY, 2026, 卷号: 346, 页码: 140282
作者:
Xu, Wenchao
;
Li, Runkui
;
Guo, Tongze
;
Wang, Tianyi
;
Dong, Xinran
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收藏
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浏览/下载:0/0
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提交时间:2026/03/16
Solar radiation
Uncertainty
Spatial pattern
Explainable machine learning
Soil Heavy Metals for Sustainable Risk Management: A Systematic Review and a Context-Aware Method Selection Framework
期刊论文
OAI收割
SUSTAINABILITY, 2026, 卷号: 18, 期号: 4, 页码: 1893
作者:
Yang, Leqi
;
Yue, Tianxiang
;
Ma, Maohua
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收藏
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浏览/下载:0/0
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提交时间:2026/04/16
soil heavy metals
spatial interpolation
sustainable land management
precision environmental monitoring
method selection
context diagnosis
decision support tool
uncertainty
geostatistics
machine learning
Effects of machine learning models and spatial resolution on land cover classification accuracy in Dali County, Shaanxi, China
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING, 2025, 卷号: 18, 期号: 1, 页码: 245-259
作者:
Shi, Yu
;
Jin, Ning
;
Wu, Bingyan
;
Wang, Zekun
;
Wang, Shiwen
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收藏
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浏览/下载:36/0
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提交时间:2025/04/21
satellite data
different spatial resolutions
machine learning
land use
land cover
random forest
uncertainty
An Optimized Fusion Approach Using Multisource Satellite Soil Moisture Products With the Consideration of Geographic and Climatic Factors
期刊论文
OAI收割
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2025, 卷号: 18, 页码: 28986-28999
作者:
Yang, Yanqing
;
Zhao, Wei
;
Ding, Tao
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2025/12/23
Soil moisture
Neural networks
Accuracy
Spatial resolution
Soil measurements
Rivers
Machine learning
Uncertainty
Soil
Machine learning algorithms
Data fusion
geographic and climatic factors
machine learning
surface soil moisture
An Innovative Deep Learning Based TemperatureEmissivity Separation Algorithm for Highresolution Thermal Missions
期刊论文
OAI收割
IGARSS 2025-2025 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2025, 卷号: N/A, 页码: 954-958
作者:
Zhang, Huanyu
;
Tang, Bo-Hui
;
Jiang, Yun
;
Hu, Tian
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收藏
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浏览/下载:1/0
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提交时间:2026/04/16
land surface temperature (LST)
temperature-emissivity separation (TES)
uncertainty analysis
deep learning
Optimization of Soil Particle Size Mapping Incorporating Spatial Autocorrelation and Attribute Similarity
期刊论文
OAI收割
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2025, 卷号: 18, 页码: 21044-21064
作者:
Qin, Liya
;
Wang, Zong
;
Zhang, Xiaoyuan
;
Liang, Boyi
;
Wang, Jia
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收藏
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浏览/下载:0/0
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提交时间:2025/10/20
Soil
Predictive models
Biological system modeling
Accuracy
Vegetation mapping
Reflectivity
Indexes
Random forests
Forestry
Erosion
Random forest (RF)
soil particle size
spatial distribution
two-point machine learning (TPML) model
uncertainty assessment
Prediction of Multi-Pharmacokinetics Property in Multi-Species: Bayesian Neural Network Stacking Model with Uncertainty
期刊论文
OAI收割
MOLECULAR PHARMACEUTICS, 2024, 页码: 16
作者:
Zhang, Yuanyuan
;
Xie, Zhiyin
;
Xiao, Fu
;
Yu, Jie
;
Fan, Zhehuan
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收藏
  |  
浏览/下载:57/0
  |  
提交时间:2024/12/11
pharmacokinetic parameters
machine learning
uncertainty
stacking
multitask learning
ADME
Progressive Decision Boundary Shifting for Unsupervised Domain Adaptation
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 12
作者:
Li, Liang
;
Lu, Tongyu
;
Sun, Yaoqi
;
Gao, Yuhan
;
Yan, Chenggang
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收藏
  |  
浏览/下载:45/0
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提交时间:2024/12/06
Uncertainty
Feature extraction
Semantics
Task analysis
Training
Adversarial machine learning
Symbols
Domain shifting
progressive decision boundary
self-learning
unsupervised domain adaptation (UDA)
Degradation regression with uncertainty for blind super-resolution
期刊论文
OAI收割
NEUROCOMPUTING, 2024, 卷号: 582, 页码: 14
作者:
Li, Shang
;
Zhang, Guixuan
;
Luo, Zhengxiong
;
Liu, Jie
;
Zeng, Zhi
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收藏
  |  
浏览/下载:73/0
  |  
提交时间:2024/07/03
Blind super-resolution
Degradation estimation
Uncertainty learning