Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Baofeng Shi"'
Autor:
Shaobin Zhang, Baofeng Shi
Publikováno v:
Agriculture, Vol 14, Iss 7, p 1198 (2024)
China is the largest soybean importer and consumer in the world. Soybean oil is the most-consumed vegetable oil in China, while soybean meal is the most important protein feed raw material in China, which affects the costs of animal husbandry. Volati
Externí odkaz:
https://doaj.org/article/525ea76dbf474ce29b5e40ff9d952a1c
Publikováno v:
SAGE Open, Vol 13 (2023)
This paper aims to design a novel AFCM-SMOTENC-APRIORI model to mine the default feature attributes of small enterprises. It can overcome the problem that the data characteristics of “small defaulting small enterprises and large non-defaulting smal
Externí odkaz:
https://doaj.org/article/8362784836504baba748bd90f8da67de
Publikováno v:
Frontiers in Public Health, Vol 9 (2021)
The COVID-19 public health crisis has quickly led to an economic crisis, impacting many people and businesses in the world. This study examines how the pandemic affects workforces and workers' income. We quantify the impact of staggered resumption of
Externí odkaz:
https://doaj.org/article/30c881308a3646cf99dd5a615522f667
Publikováno v:
Complexity, Vol 2018 (2018)
Attribute reduction is viewed as a kind of preprocessing steps for reducing large dimensionality in data mining of all complex systems. A great deal of researchers have proposed various approaches to reduce attributes or select key features in multic
Externí odkaz:
https://doaj.org/article/741e28cf86974c6a96bfca50a9e84e37
Publikováno v:
International Journal of Forecasting. 38:1158-1172
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e4b9f915ae947f6e5b239cac622885e
https://doi.org/10.1016/j.ijforecast.2022.01.006
https://doi.org/10.1016/j.ijforecast.2022.01.006
Publikováno v:
Creative Education. 13:2834-2855
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3eb0910c64f3d68a98cb0d76ba59f0ec
https://doi.org/10.4236/ce.2022.139179
https://doi.org/10.4236/ce.2022.139179
Autor:
Baofeng Shi
Publikováno v:
International Series in Operations Research & Management Science ISBN: 9783031185519
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c08ce480e06f0ce40408772023c7f579
https://doi.org/10.1007/978-3-031-18552-6_8
https://doi.org/10.1007/978-3-031-18552-6_8
Publikováno v:
Environment, Development and Sustainability.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43e75e37dda04544581a869d47ff866b
https://doi.org/10.1007/s10668-022-02739-z
https://doi.org/10.1007/s10668-022-02739-z
Publikováno v:
Tian, M, Jiang, Y, Wang, B, Dong, Y, Chen, Y & Shi, B 2022, ' Downside and upside risk spillovers from commercial banks into China’s financial system : A new copula quantile regression-based CoVaR model ', Economic Research-Ekonomska Istrazivanja . https://doi.org/10.1080/1331677X.2022.2120037
In this paper, we investigate the downside and upside risk spillovers from three kinds of commercial banks (state-owned commercial banks (SOCBs), joint-stock commercial banks (JSCBs) and city commercial banks (CCBs)) to China’s financial system by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02f073cc2ada66c5124a6f17c5066eae
https://doi.org/10.1080/1331677x.2022.2120037
https://doi.org/10.1080/1331677x.2022.2120037