Research on Performance Optimization Algorithm of Resource and Environment Audit Based on Computer Technology.
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| Title: | Research on Performance Optimization Algorithm of Resource and Environment Audit Based on Computer Technology. |
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| Authors: | Wang, Yuhui1 (AUTHOR) |
| Source: | Computational Intelligence & Neuroscience. 5/28/2022, p1-7. 7p. |
| Subjects: | Computerized auditing, Computer engineering, Mathematical optimization, Environmental auditing, Natural resources |
| Abstract: | With the rapid development of the economy and society, the sustainable development of resources and environment has been paid more and more attention. As an important part of the national environmental supervision system, resources and environmental audits have attracted great attention from the society. In order to explore the application effect of intelligent networking technology in resource and environment audit, this study carries out monitoring sampling, information collection, and later data processing optimization in resource and environment audit projects through the reference of artificial intelligence technology and method and combined with Internet of things big data analysis, which brings new Turks to the development of natural resource and environment audit and helps to improve the efficiency of audit work. Through the application of new technology in the sampling process of environmental information, the staff use new technology to collect, analyze, and mine data and explore how the new technology can promote the efficiency of resource and environmental audit and better promote the construction of ecological civilization. [ABSTRACT FROM AUTHOR] |
| Copyright of Computational Intelligence & Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 157119784 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Research on Performance Optimization Algorithm of Resource and Environment Audit Based on Computer Technology. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Yuhui%22">Wang, Yuhui</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computational+Intelligence+%26+Neuroscience%22">Computational Intelligence & Neuroscience</searchLink>. 5/28/2022, p1-7. 7p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computerized+auditing%22">Computerized auditing</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+engineering%22">Computer engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+auditing%22">Environmental auditing</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+resources%22">Natural resources</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: With the rapid development of the economy and society, the sustainable development of resources and environment has been paid more and more attention. As an important part of the national environmental supervision system, resources and environmental audits have attracted great attention from the society. In order to explore the application effect of intelligent networking technology in resource and environment audit, this study carries out monitoring sampling, information collection, and later data processing optimization in resource and environment audit projects through the reference of artificial intelligence technology and method and combined with Internet of things big data analysis, which brings new Turks to the development of natural resource and environment audit and helps to improve the efficiency of audit work. Through the application of new technology in the sampling process of environmental information, the staff use new technology to collect, analyze, and mine data and explore how the new technology can promote the efficiency of resource and environmental audit and better promote the construction of ecological civilization. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computational Intelligence & Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=157119784 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/2022/4288729 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 1 Subjects: – SubjectFull: Computerized auditing Type: general – SubjectFull: Computer engineering Type: general – SubjectFull: Mathematical optimization Type: general – SubjectFull: Environmental auditing Type: general – SubjectFull: Natural resources Type: general Titles: – TitleFull: Research on Performance Optimization Algorithm of Resource and Environment Audit Based on Computer Technology. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Yuhui IsPartOfRelationships: – BibEntity: Dates: – D: 28 M: 05 Text: 5/28/2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 16875265 Titles: – TitleFull: Computational Intelligence & Neuroscience Type: main |
| ResultId | 1 |