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
成都山地灾害与环境研... [3]
地理科学与资源研究所 [2]
新疆天文台 [1]
沈阳自动化研究所 [1]
采集方式
OAI收割 [7]
内容类型
期刊论文 [6]
会议论文 [1]
发表日期
2025 [6]
2020 [1]
学科主题
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Real-Time Reconstruction of the Temperature Field of NSRT's Back-Up Structure Based on Improved RIME-XGBoost
期刊论文
OAI收割
SENSORS, 2025, 卷号: 25, 期号: 24, 页码: 7410
作者:
Zhang, Shi-Jiao
;
Xu, Qian
;
Wang, Hui
;
Xue, Fei
;
He, Fei-Long
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2026/03/11
radio telescope
back-up structure
environmental sensing
temperature field
thermal prediction model
machine learning
eXtreme Gradient Boosting (XGBoost)
meta-heuristic algorithms
RIME optimization algorithm
Exploring the spatiotemporal dynamics and driving mechanism of cropland ecosystem health: A perspective based on the contributions of climate change and human activities
期刊论文
OAI收割
ECOLOGICAL INDICATORS, 2025, 卷号: 181, 页码: 114426
作者:
Cheng, Chao
;
Kuang, Zhiqiang
;
Wu, Jiuxing
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/12/19
Ecosystem services of cropland
Resilience of cropland ecosystem
Organizational structure of cropland
Environmental quality of cropland
XGBoost-SHAP model
Spatial variability characteristics and drivers of surface soil nitrogen fractions in the drylands of northern China
期刊论文
OAI收割
JOURNAL OF ARID LAND, 2025, 卷号: 17, 期号: 11, 页码: 1558-1575
作者:
Zhang, Shihang
;
Chen, Yusen
;
Zhou, Xiaobing
;
Zhang, Yuanming
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2026/04/16
soil nitrogen fractions
total nitrogen (TN)
inorganic nitrogen (IN)
microbial biomass nitrogen (MBN)
machine learning model
eXtreme Gradient Boosting (XGBoost) model
dryland ecosystems
Modeling heavy metal contamination in fire-affected soils using machine learning in the Kutupalong Rohingya camp, Bangladesh
期刊论文
OAI收割
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING, 2025, 卷号: 13, 期号: 5, 页码: 18
作者:
Proshad, Ram
;
Kibria, Mohammad Golam
;
Khurram, Dil
;
Takai, Atsushi
;
Katsumi, Takeshi
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2025/09/22
Heavy metal
Soils
Machine learning
XGBoost model
LISA
Bangladesh
The main process and driving mechanism of rural revitalization in China
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2025, 卷号: 35, 期号: 9, 页码: 1817-1844
作者:
Li, Xuhong
;
Guo, Yuanzhi
;
Liu, Yansui
;
Huang, Xinxin
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2025/11/17
rural revitalization
nonlinear effect
spatio-temporal heterogeneity
XGBoost-SHAP model
China
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:45/0
  |  
提交时间:2024/12/23
Heavy metals
Machine learning
XGBoost model
Outliers
DBSCAN
LISA
Multivariate time series forecast in industrial process based on XGBoost and GRU
会议论文
OAI收割
Chongqing, China, December 11-13, 2020
作者:
Zhai NJ(翟乃举)
;
Yao PF(姚培福)
;
Zhou XF(周晓锋)
  |  
收藏
  |  
浏览/下载:58/0
  |  
提交时间:2021/02/27
time series
multivariate
Xgboost model
GRU model
temperature of the heating furnace