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Using Deep Learning to Fill Data Gaps in Environmental Footprint Accounting
Bu Zhao, Chenyang Shuai,
Shen Qu
, Ming Xu
*
*
此作品的通讯作者
University of Michigan, Ann Arbor
Chongqing University
科研成果
:
期刊稿件
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同行评审
20
引用 （Scopus）
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探究 'Using Deep Learning to Fill Data Gaps in Environmental Footprint Accounting' 的科研主题。它们共同构成独一无二的指纹。
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Engineering
Applicability
20%
Carbon Footprint
20%
Deep Learning
100%
Deep Neural Network
60%
Demonstrates
20%
Environmental Footprint
100%
Network Model
60%
Output Data
20%
Output Table
100%
Computer Science
Case Study
12%
Deep Learning
100%
Deep Neural Network
37%
Input/Output
100%
Machine Learning
12%
Neural Network Model
37%
Term Prediction
25%
Chemical Engineering
Deep Learning
100%
Deep Neural Network
100%
Learning System
33%
Earth and Planetary Sciences
Carbon Footprint
100%
Machine Learning
100%
Economics, Econometrics and Finance
Greenhouse Gas Emissions
20%
Input-Output Model
40%
Input-Output Table
100%
Machine Learning
20%