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兰州财经大学机构知识库
Lanzhou University of Finance and Economics. All
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Green financial accounting and transition in the mining sector in emerging economies
期刊论文
Resources Policy, 2024, 卷号: 89
作者:
Xue, Sufang
;
Jiang, Yajing
;
Wei, Qiang
收藏
  |  
浏览/下载:60/0
  |  
提交时间:2024/02/26
Economic and social effects
Extraction
Industrial economics
Mining
Patents and inventions
Corruption perception indices
Emerging economies
Extraction volumes
Financial accounting
Green accounting
Green growths
Mining sector
Sustainable mining
Sustainable mining extraction industry
Term extraction
Big Data Analysis and Prediction System Based on Improved Convolutional Neural Network
期刊论文
Computational Intelligence and Neuroscience, 2022, 卷号: 2022
作者:
Du, Xuegong
;
Cao, Xiaojun
;
Zhang, Rui
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  |  
浏览/下载:56/0
  |  
提交时间:2023/02/24
Convolution
Distributed database systems
Feature extraction
Cameras
Template matching
Convolutional neural networks
Data mining
Iterative methods
Cloud services
Convolutional neural network
Data analysis system
Distributed data structures
Matching technology
Matchings
Prediction systems
Services combinations
Surrounding environment
Training speed
Hyperspectral Monitoring Driven by Machine Learning Methods for Grassland Above-Ground Biomass
期刊论文
Remote Sensing, 2022, 卷号: 14, 期号: 9
作者:
Huang, Weiye
;
Li, Wenlong
;
Xu, Jing
;
Ma, Xuanlong
;
Li, Changhui
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  |  
浏览/下载:79/0
  |  
提交时间:2022/05/19
Adaptive boosting
Biomass
Data mining
Feature extraction
Remote sensing
Aboveground biomass
Alpine grasslands
Features selection
Gaussian process regression
Growing season
HyperSpectral
Interpretability
Machine learning methods
Machine learning models
Support vectors machine
Research on Distributed Vertical Frequent Pattern Mining Method Based on Metadata Integration
会议论文
Journal of Physics: Conference Series, Tianjin, China, 2019-11-22 - 2019-11-24
作者:
Sun, Li
;
Guo, Li
;
Tian, Huan
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  |  
浏览/下载:91/0
  |  
提交时间:2021/03/24
Digital storage
Metadata
Power control
Power electronics
Data application
Frequent pattern mining
Information industry
Integration technologies
Intelligent data minings
Metadata integration
Social development
Identification Model of Poverty-prone Population and Analysis of Poverty-causing Factors
会议论文
Proceedings of SPIE - The International Society for Optical Engineering, Chengdu, China, June 17, 2022 - June 19, 2022
作者:
Wu, Yiwen
;
Duan, Huiyu
;
Wang, Jikui
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  |  
浏览/下载:48/0
  |  
提交时间:2024/02/26
Classification (of information)
Clustering algorithms
Data mining
Forestry
Fuzzy systems
Fuzzy C-Means clustering
Identification modeling
Indicators systems
Manual identification
Poverty-causing factor
Poverty-prone population
Precise identification
Present stage
Random forest modeling
Sustainable livelihood