Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Liangshan Shao"'
Publikováno v:
Meikuang Anquan, Vol 55, Iss 1, Pp 250-256 (2024)
In order to explore the internal relation of mechanical and electrical accidents in coal mine from the perspective of human factors, a method of mechanical and electrical accidents analysis is proposed, which integrates human factors analysis and cla
Externí odkaz:
https://doaj.org/article/f37bdd0349544d669c8b03f1d593b76b
Autor:
Qingzhen Yao, Liangshan Shao
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 112-121 (2022)
The government, real estate developers, and buyers are the three main bodies of low-carbon housing implementation. In this research, the evolutionary game theory is applied to explore the evolution law of each subject’s decision-making. The results
Externí odkaz:
https://doaj.org/article/fe83c3cb3a6748d69a6934b7d18d524e
Publikováno v:
PLoS ONE, Vol 18, Iss 5, p e0283527 (2023)
China needs to guide property developers in actively reducing emissions to reach carbon emission reduction targets and respond to global climate change. A carbon tax is an important policy tool. Still, to establish successful rules to steer property
Externí odkaz:
https://doaj.org/article/36063bb5c09f4c0bb8cde3b6460ea205
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2023)
This paper considers a green supply chain using manufacturers and retailers as the research objects. The pricing and coordination strategy of the green supply chain, considering a risk-averse manufacturer, is investigated under the reference price ef
Externí odkaz:
https://doaj.org/article/c5da0376fce04a29a7401c033d89add1
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
Implementing low-carbon houses is inseparable from the carbon tax and subsidy policies. Appropriate carbon taxes and subsidies can help to reduce household carbon emissions. This study aims to identify a suitable carbon tax and subsidy policy and inv
Externí odkaz:
https://doaj.org/article/7b6c6d47d2364455b6261387f8dd7a75
Autor:
Qingzhen Yao, Liangshan Shao
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
External carbon trading, free transfer between enterprises and, internal carbon trading are the primary forms of carbon trading between real estate enterprises and building materials enterprises. This paper establishes the Stackelberg game model unde
Externí odkaz:
https://doaj.org/article/a3e9c6eff8784aa9aa368e3c45c4a0a7
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2022 (2022)
Public buildings, with the increasing level of energy consumption, are a key area of energy conservation and emission reduction in China’s construction industry. In order to reduce carbon emissions of public buildings, realize the targets of energy
Externí odkaz:
https://doaj.org/article/ac7c38d0f4424290921246c156021cb5
Autor:
Yu Zhang, Liangshan Shao
Publikováno v:
IEEE Access, Vol 7, Pp 173463-173476 (2019)
A new distributed online learning scheme for classifying data captured from distributed data sources is proposed in this paper. The scheme consists of multiple distributed learners that independently classify different streams of data. Each local lea
Externí odkaz:
https://doaj.org/article/04f301d27c7a41cbad7c2b74832205cd
Publikováno v:
Environmental Science and Pollution Research. 30:50234-50247
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cfc79d1f1a61472c76632f5567c1ad2
https://doi.org/10.1007/s11356-023-25803-1
https://doi.org/10.1007/s11356-023-25803-1
Autor:
Liangshan Shao, Kun Zhang
Publikováno v:
Processes; Volume 11; Issue 3; Pages: 883
This paper proposed a gas emission prediction method based on feature selection and improved machine learning, as traditional gas emission prediction models are neither accurate nor universally applicable. Through analysis, this paper identified 12 f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd7b15b20896799f90e5cd63fdf5727a