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
地理科学与资源研究... [12]
烟台海岸带研究所 [3]
成都山地灾害与环境研... [2]
数学与系统科学研究院 [2]
自动化研究所 [2]
沈阳自动化研究所 [2]
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OAI收割 [35]
内容类型
期刊论文 [27]
学位论文 [4]
CNKI期刊论文 [2]
会议论文 [2]
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2025 [4]
2024 [7]
2023 [5]
2022 [10]
2021 [3]
2020 [4]
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学科主题
地图学与地理信息系统 [1]
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Spatiotemporal patterns and drivers of public concern about air pollution in China: Leveraging online big data and interpretable machine learning
期刊论文
OAI收割
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2025, 卷号: 114, 页码: 107897
作者:
Xu, Gang
;
Liu, Haimeng
;
Jia, Chunwang
;
Zhou, Tianyu
;
Shang, Jing
  |  
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2025/04/21
Public environmental concern
Air quality
Environmental perception
Machine learning
XGBoost-SHAP
Environmental assessment
Environmental governance
A comparative analysis of five land surface temperature downscaling methods in plateau mountainous areas
期刊论文
OAI收割
FRONTIERS IN EARTH SCIENCE, 2025, 卷号: 12, 页码: 1488711
作者:
Wang, Ju
;
Tang, Bo-Hui
;
Zhu, Xinming
;
Fan, Dong
;
Li, Menghua
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2025/02/24
land surface temperature
downscaling
Landsat-9
machine learning
XGBoost
Machine learning models with innovative outlier detection techniques for predicting heavy metal contamination in soils
期刊论文
OAI收割
JOURNAL OF HAZARDOUS MATERIALS, 2025, 卷号: 481, 页码: 23
作者:
Proshad, Ram
;
Asha, S. M. Asharaful Abedin
;
Tan, Rong
;
Lu, Yineng
;
Abedin, Md Anwarul
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2024/12/23
Heavy metals
Machine learning
XGBoost model
Outliers
DBSCAN
LISA
Spatiotemporal Dynamics and Drivers of Ecosystem Health Integrating Sustainable Development Goals: A Case Study of Qilian Mountain National Park, China
期刊论文
OAI收割
LAND DEGRADATION & DEVELOPMENT, 2025
作者:
Yang, Xiaoyuan
;
Zhou, Huakun
;
Liu, Fanglin
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2025/11/27
ecosystem health
spatiotemporal dynamics
sustainable development goals
VOR-ES-SDG assessment framework
XGBoost-SHAP
Probabilistic assessment of the thermal performance of low-enthalpy geothermal system under impact of spatially correlated heterogeneity by using XGBoost algorithms
期刊论文
OAI收割
ENERGY, 2024, 卷号: 313, 页码: 18
作者:
Liao, Jianxing
;
Xie, Yachen
;
Zhao, Pengfei
;
Xia, Kaiwen
;
Xu, Bin
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2025/06/27
Thermal performance
Reservoir heterogeneity
XGBoost
SHAP
Probability of failure
Age disparities and socioeconomic factors for commuting distance in Beijing by explainable machine learning
期刊论文
OAI收割
CITIES, 2024, 卷号: 155, 页码: 105493
作者:
Chen, Liangkan
;
Chen, Mingxing
;
Fan, Chao
  |  
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2025/01/17
Commuting distance
Age disparity
Mobile signaling data
XGBoost
SHAP
Beijing
Machine learning optimization strategy of shaped charge liner structure based on jet penetration efficiency
期刊论文
OAI收割
DEFENCE TECHNOLOGY, 2024, 卷号: 39, 页码: 23-41
作者:
Zhao ZQ(赵子棋)
;
Li T(李统)
;
Sheng DL(盛冬林)
;
Chen J(陈健)
;
Yan AM(鄢阿敏)
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2024/10/21
Jet penetration efficiency
Shaped charge liner
FEM-ML
XGBOOST
MFO
High-entropy alloy
Country-specific determinants for COVID-19 case fatality rate and response strategies from a global perspective: an interpretable machine learning framework
期刊论文
OAI收割
POPULATION HEALTH METRICS, 2024, 卷号: 22, 期号: 1, 页码: 17
作者:
Zhou, Cui
;
Wheelock, asa M.
;
Zhang, Chutian
;
Ma, Jian
;
Li, Zhichao
  |  
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2024/08/30
COVID-19
Global health
Strategy
Vaccination
Case fatality rate
Pandemics
XGBoost
SHAP
Cadmium accumulation in tropical island paddy soils: From environment and health risk assessment to model prediction
期刊论文
OAI收割
JOURNAL OF HAZARDOUS MATERIALS, 2024, 卷号: 465, 页码: 14
作者:
Guo, Yan
;
Yang, Yi
;
Li, Ruxia
;
Liao, Xiaoyong
;
Li, Yonghua
  |  
收藏
  |  
浏览/下载:88/0
  |  
提交时间:2024/03/25
Cadmium
Pollution assessment
Probabilistic health risk
XGBoost
A multi-factor spatio-temporal correlation analysis method for PV development potential estimation
期刊论文
OAI收割
RENEWABLE ENERGY, 2024, 卷号: 223, 页码: 14
作者:
  |  
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2024/03/27
PV power generation
Correlation analysis
Probability distribution
XGBoost
Development potential