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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... [13]
力学研究所 [6]
金属研究所 [3]
计算技术研究所 [2]
自动化研究所 [2]
地质与地球物理研究所 [1]
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OAI收割 [36]
内容类型
期刊论文 [35]
学位论文 [1]
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2026 [2]
2025 [5]
2024 [8]
2023 [5]
2022 [3]
2021 [4]
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Predicting distribution characteristics of PM2.5 concentrations across China combining land use regression model and spatiotemporally weighted stacking machine learning algorithms
期刊论文
OAI收割
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING, 2026, 卷号: 14, 期号: 2, 页码: 121780
作者:
Wang, Wentao
;
Zhang, Ping
;
Han, Yuanyuan
;
Zhang, Fengqian
;
Huang, Yue
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2026/03/16
PM 2.5 pollution
Land use regression model
Machine learning ensemble method
Space-time weighting information
Spatiotemporal modelling
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
  |  
浏览/下载:0/0
  |  
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
Machine learning based constitutive modelling on craze yielding in polymeric materials
期刊论文
OAI收割
ACTA MECHANICA SINICA, 2025, 卷号: 41, 期号: 7, 页码: 13
作者:
Jiang KY(江科杙)
;
Wen JC(温济慈)
;
Wei YJ(魏宇杰)
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2025/09/08
Polymers
Craze yielding
Constitutive model
Machine learning
Finite element method
Accelerating phase-field simulation of multi-component alloy solidification by shallow artificial neural network
期刊论文
OAI收割
COMPUTATIONAL MATERIALS SCIENCE, 2025, 卷号: 248, 页码: 9
作者:
Gong, Tongzhao
;
Hao, Weiye
;
Fan, Weiqi
;
Chen, Yun
;
Chen, Xing-Qiu
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2025/04/27
Phase-field method
Machine learning
Solidification
Multi-component alloy
Calculation of phase diagram
Accelerating phase-field simulation of multi-component alloy solidification by shallow artificial neural network
期刊论文
OAI收割
COMPUTATIONAL MATERIALS SCIENCE, 2025, 卷号: 248, 页码: 9
作者:
Gong, Tongzhao
;
Hao, Weiye
;
Fan, Weiqi
;
Chen, Yun
;
Chen, Xing-Qiu
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2025/04/27
Phase-field method
Machine learning
Solidification
Multi-component alloy
Calculation of phase diagram
Analysis of the Driving Mechanism of Grassland Degradation in Inner Mongolia Grassland from 2015 to 2020 Using Interpretable Machine Learning Methods
期刊论文
OAI收割
LAND, 2025, 卷号: 14, 期号: 2, 页码: 386
作者:
Zhang, Zuopei
;
Hu, Yunfeng
;
Batunacun
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2025/04/21
machine learning
grassland degradation
driving factors
SHAP method
climate change
Rapid quality evaluation of Meconopsis integrifolia (Maxim.) Franch.: Insights from machine learning techniques and environmental factor analysis
期刊论文
OAI收割
INDUSTRIAL CROPS AND PRODUCTS, 2025, 卷号: 235
作者:
Luo, Xi
;
Li, Hongmei
;
Li, Jiamin
;
Liu, Zixuan
;
Song, Xiaoming
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2025/11/27
Quality evaluation
Machine learning techniques
NIR spectroscopy
Environmental factors
TOPSIS-entropy weighting method
Investigation on the Structure Profile of Precise Copper Tube by Three-Roll Planetary Rolling Based on Finite Element Simulation Assisted by Machine Learning
期刊论文
OAI收割
JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE, 2024, 页码: 14
作者:
Liu, Jin-Song
;
Sun, Yang-Le
;
Chen, Da-Yong
;
Song, Hong-Wu
;
Zhang, Shi-Hong
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2025/04/27
axial extension coefficient
finite element method
machine learning
structure profile
three-roll planetary rolling
Integrating infiltration processes in hybrid downscaling methods to estimate sub-surface soil moisture
期刊论文
OAI收割
ECOLOGICAL INFORMATICS, 2024, 卷号: 84, 页码: 102875
作者:
Zhang, Mo
;
Ge, Yong
;
Wang, Jianghao
  |  
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2024/12/20
Dual-drive method
Genetic algorithm
Machine learning
Soil moisture analytical relationship model
Soil moisture downscaling
A General Framework for Retrieving Land Surface Emissivity and Temperature Using Sensors With Split-Window Thermal Infrared Channels: A Case Study With Landsat 9
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 5008012
作者:
Li, Xiu-Juan
;
Wu, Hua
;
Ni, Li
;
Cheng, Yuan-Liang
;
Zhang, Xing-Xing
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2025/01/17
Landsat
Land surface temperature
Land surface
Accuracy
Temperature sensors
Spatial resolution
Soil
Grasslands
Atmospheric modeling
Vegetation mapping
Land surface emissivity (LSE)
land surface temperature (LST)
Landsat 9
machine learning
split-window (SW) method