Neural Network Method for Determining Sanctions' Impact on the Administrative Offence Level.
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| Title: | Neural Network Method for Determining Sanctions' Impact on the Administrative Offence Level. |
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| Authors: | Vladov, Serhii1,2, victoria.a.vysotska@lpnu.ua, Vysotska, Victoria2,3, Voloshanivska, Tetiana3,4, Podorozhnii, Yevhen4,5, Hanenko, Ihor5,6, Nazarkevych, Mariia3,6, dns77@ukr.net, Hovorov, Valerii7, Shopina, Iryna8, Zherebtsov, Denys1,7, Pitomets, Artem2,7 |
| Source: | Applied Sciences (2076-3417); Apr2026, Vol. 16 Issue 7, p3340, 77p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 192959683 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Neural Network Method for Determining Sanctions' Impact on the Administrative Offence Level. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Vladov%2C+Serhii%22">Vladov, Serhii</searchLink><relatesTo>1,2</relatesTo>, <i>victoria.a.vysotska@lpnu.ua</i><br /><searchLink fieldCode="AU" term="%22Vysotska%2C+Victoria%22">Vysotska, Victoria</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Voloshanivska%2C+Tetiana%22">Voloshanivska, Tetiana</searchLink><relatesTo>3,4</relatesTo><br /><searchLink fieldCode="AU" term="%22Podorozhnii%2C+Yevhen%22">Podorozhnii, Yevhen</searchLink><relatesTo>4,5</relatesTo><br /><searchLink fieldCode="AU" term="%22Hanenko%2C+Ihor%22">Hanenko, Ihor</searchLink><relatesTo>5,6</relatesTo><br /><searchLink fieldCode="AU" term="%22Nazarkevych%2C+Mariia%22">Nazarkevych, Mariia</searchLink><relatesTo>3,6</relatesTo>, <i>dns77@ukr.net</i><br /><searchLink fieldCode="AU" term="%22Hovorov%2C+Valerii%22">Hovorov, Valerii</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AU" term="%22Shopina%2C+Iryna%22">Shopina, Iryna</searchLink><relatesTo>8</relatesTo><br /><searchLink fieldCode="AU" term="%22Zherebtsov%2C+Denys%22">Zherebtsov, Denys</searchLink><relatesTo>1,7</relatesTo><br /><searchLink fieldCode="AU" term="%22Pitomets%2C+Artem%22">Pitomets, Artem</searchLink><relatesTo>2,7</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Apr2026, Vol. 16 Issue 7, p3340, 77p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192959683 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app16073340 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 77 StartPage: 3340 Titles: – TitleFull: Neural Network Method for Determining Sanctions' Impact on the Administrative Offence Level. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Vladov, Serhii – PersonEntity: Name: NameFull: Vysotska, Victoria – PersonEntity: Name: NameFull: Voloshanivska, Tetiana – PersonEntity: Name: NameFull: Podorozhnii, Yevhen – PersonEntity: Name: NameFull: Hanenko, Ihor – PersonEntity: Name: NameFull: Nazarkevych, Mariia – PersonEntity: Name: NameFull: Hovorov, Valerii – PersonEntity: Name: NameFull: Shopina, Iryna – PersonEntity: Name: NameFull: Zherebtsov, Denys – PersonEntity: Name: NameFull: Pitomets, Artem IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 16 – Type: issue Value: 7 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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