中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
地理科学与资源研究... [32]
生态环境研究中心 [7]
植物研究所 [7]
自动化研究所 [6]
成都山地灾害与环境研... [3]
心理研究所 [2]
更多
采集方式
OAI收割 [65]
内容类型
期刊论文 [64]
学位论文 [1]
发表日期
2020 [65]
学科主题
Forestry [3]
Agronomy [2]
Environmen... [2]
Ecology [1]
筛选
浏览/检索结果:
共65条,第1-10条
帮助
限定条件
发表日期:2020
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
提交时间升序
提交时间降序
题名升序
题名降序
作者升序
作者降序
发表日期升序
发表日期降序
Quantifying Global Potential Marginal Land Resources for Switchgrass
期刊论文
OAI收割
ENERGIES, 2020, 卷号: 13, 期号: 23, 页码: 13
作者:
Fan, Peiwei
;
Hao, Mengmeng
;
Ding, Fangyu
;
Jiang, Dong
;
Dong, Donglin
  |  
收藏
  |  
浏览/下载:93/0
  |  
提交时间:2021/03/15
switchgrass
biofuel feedstock
environmental variables
BRT
relative contribution
Mapping the Potential Global Distribution of Red Imported Fire Ant (Solenopsis invicta Buren) Based on a Machine Learning Method
期刊论文
OAI收割
SUSTAINABILITY, 2020, 卷号: 12, 期号: 23, 页码: 13
作者:
Chen, Shuai
;
Ding, Fangyu
;
Hao, Mengmeng
;
Jiang, Dong
  |  
收藏
  |  
浏览/下载:62/0
  |  
提交时间:2021/03/15
S
invicta
red imported fire ant
potential distribution
boosted regression tree
human factors
Prediction model of rock mass class using classification and regression tree integrated AdaBoost algorithm based on TBM driving data
期刊论文
OAI收割
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2020, 卷号: 106, 页码: 13
作者:
Liu, Quansheng
;
Wang, Xinyu
;
Huang, Xing
;
Yin, Xin
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/05/25
TBM
Rock mass classification
Integrated algorithm
AdaBoost-CART model
SMOTE
Mapping the Potential Global Distribution of Red Imported Fire Ant (Solenopsis invicta Buren) Based on a Machine Learning Method
期刊论文
OAI收割
SUSTAINABILITY, 2020, 卷号: 12, 期号: 23, 页码: 13
作者:
Chen, Shuai
;
Ding, Fangyu
;
Hao, Mengmeng
;
Jiang, Dong
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2021/03/15
S
invicta
red imported fire ant
potential distribution
boosted regression tree
human factors
Quantifying Global Potential Marginal Land Resources for Switchgrass
期刊论文
OAI收割
ENERGIES, 2020, 卷号: 13, 期号: 23, 页码: 13
作者:
Fan, Peiwei
;
Hao, Mengmeng
;
Ding, Fangyu
;
Jiang, Dong
;
Dong, Donglin
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2021/03/15
switchgrass
biofuel feedstock
environmental variables
BRT
relative contribution
Exploring firms' innovation capabilities through learning systems
期刊论文
OAI收割
NEUROCOMPUTING, 2020, 卷号: 409, 页码: 27-34
作者:
Li, Yawen
;
Wang, Xiaoyang
;
Chen, Chengcai
;
Jing, Changyuan
;
Wu, Tian
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2020/10/12
Machine learning
Innovation input capability
Collaborative innovation capability
Innovation performance
XGBoost
GBDT
Exploring firms' innovation capabilities through learning systems
期刊论文
OAI收割
NEUROCOMPUTING, 2020, 卷号: 409, 页码: 27-34
作者:
Li, Yawen
;
Wang, Xiaoyang
;
Chen, Chengcai
;
Jing, Changyuan
;
Wu, Tian
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2020/09/28
Machine learning
Innovation input capability
Collaborative innovation capability
Innovation performance
XGBoost
GBDT
Explicitly Identifying the Desertification Change in CMREC Area Based on Multisource Remote Data
期刊论文
OAI收割
REMOTE SENSING, 2020, 卷号: 12, 期号: 19, 页码: 19
作者:
Fan, Zemeng
;
Li, Saibo
;
Fang, Haiyan
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/03/16
change pattern of desertification
spatial-temporal analysis
climate change
human activities
Google Earth Engine
Downscaling Satellite Retrieved Soil Moisture Using Regression Tree-Based Machine Learning Algorithms Over Southwest France
期刊论文
OAI收割
EARTH AND SPACE SCIENCE, 2020, 卷号: 7, 期号: 10, 页码: 25
作者:
Liu, Yangxiaoyue
;
Xia, Xiaolin
;
Yao, Ling
;
Jing, Wenlong
;
Zhou, Chenghu
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/03/16
satellite
based soil moisture
downscale
machine learning
regression tree
driven algorithms
Comparison model learning methods for methane emission prediction of reservoirs on a regional field scale: Performance and adaptation of methods with different experimental datasets
期刊论文
OAI收割
ECOLOGICAL ENGINEERING, 2020, 卷号: 157, 页码: 9
作者:
Li, Gang
;
Yang, Meng
;
Zhang, Yunmo
;
Grace, John
;
Lu, Cai
  |  
收藏
  |  
浏览/下载:65/0
  |  
提交时间:2021/03/16
Machine
Statistical learning methods
Model adaptation
Methane
Reservoir
IPCC