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所 [4]
地质与地球物理研究所 [1]
自动化研究所 [1]
武汉岩土力学研究所 [1]
长春应用化学研究所 [1]
采集方式
OAI收割 [8]
内容类型
期刊论文 [7]
SCI/SSCI论文 [1]
发表日期
2023 [4]
2021 [1]
2020 [1]
2016 [1]
2012 [1]
学科主题
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Spatiotemporal variations of atmospheric nitrogen deposition in China during 2008-2020
期刊论文
OAI收割
ATMOSPHERIC ENVIRONMENT, 2023, 卷号: 315, 页码: 15
作者:
Chen, Shiliang
;
Chen, Bin
;
Wang, Shaoqiang
;
Sun, Leigang
;
Shi, Hao
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2024/03/25
Random forest models
Reduced and oxidized nitrogen
NO (x )and SO (2 )emission
NH( 3 )emission
Atmospheric deposition
China
Susceptibility assessment of earth fissure related to groundwater extraction using machine learning methods combined with weights of evidence
期刊论文
OAI收割
NATURAL HAZARDS, 2023, 页码: 23
作者:
Wei, Aihua
;
Chen, Yuanyao
;
Zhao, Haijun
;
Liu, Zhao
;
Yang, Likui
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/12/29
Earth fissure assessment
Weights of evidence
Support vector machine learning
Random forest
Ensemble models
A Comprehensive Prediction Method for Pore Pressure in Abnormally High-Pressure Blocks Based on Machine Learning
期刊论文
OAI收割
PROCESSES, 2023, 卷号: 11, 期号: 9, 页码: 31
作者:
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2025/06/27
pore pressure prediction
machine learning
KNN
Extra Trees
Random Forest
LightGBM
overpressure
well logs
empirical models
Learning ensembles of process-based models for high accurately evaluating the one-hundred-year carbon sink potential of China's forest ecosystem
期刊论文
OAI收割
HELIYON, 2023, 卷号: 9, 期号: 6, 页码: e17243
作者:
Wang, Zhaosheng
;
Li, Renqiang
;
Guo, Qingchun
;
Wang, Zhaojun
;
Huang, Mei
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2023/09/07
Learning ensembles of process-based models
Random forest model
Forest ecosystem
Carbon sink potential
Online Multiview Deep Forest for Remote Sensing Image Classification via Data Fusion
期刊论文
OAI收割
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021, 卷号: 18, 期号: 8, 页码: 1456-1460
作者:
Nie, Xiangli
  |  
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2021/11/02
Vegetation
Forestry
Random forests
Feature extraction
Remote sensing
Data models
Training data
Deep forest
online multiview learning
polarimetric synthetic aperture radar (PolSAR)
remote sensing data classification
Quantifying livestock vulnerability to snow disasters in the Tibetan Plateau: Comparing different modeling techniques for prediction
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2020, 卷号: 48, 页码: 10
作者:
Ye, Tao
;
Liu, Weihang
;
Mu, Qingyang
;
Zong, Shuo
;
Li, Yijia
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2021/03/18
Livestock snow disaster
Vulnerability
Generalized additive models
Random forest
Boosted regression trees
Climate envelope predictions indicate an enlarged suitable wintering distribution for Great Bustards (Otis tarda dybowskii) in China for the 21st century
SCI/SSCI论文
OAI收割
2016
作者:
Mi C. R.
;
Falk, H.
;
Guo, Y. M.
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2017/11/09
Climate change
Species distribution models (SDMs)
Great Bustard (Otis
tarda dybowskii)
Random Forest
China
species distribution models
habitat models
random forests
regression
impacts
area
MOLMAP Descriptor and Its Application to Mutagenicity Prediction
期刊论文
OAI收割
acta physico-chimica sinica, 2012, 卷号: 28, 期号: 3, 页码: 541-546
Zhang QY
;
Long HL
;
Feng XL
;
Suo JJ
;
Zhang DD
;
Li JY
;
Xu LZ
;
Xu L
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2013/06/08
GENOME-SCALE CLASSIFICATION
SUPPORT VECTOR MACHINE
RANDOM FOREST
METABOLIC REACTIONS
CHEMICAL-REACTIONS
IDENTIFICATION
CARCINOGENS
ASSIGNMENT
SELECTION
MODELS