Cross-Domain Intelligence for Mobile and Autonomous Platforms: Leveraging Applied AI to Detect Risk and Personalize Experiences in FinTech, Retail, and Transportation Ecosystems.
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| Title: | Cross-Domain Intelligence for Mobile and Autonomous Platforms: Leveraging Applied AI to Detect Risk and Personalize Experiences in FinTech, Retail, and Transportation Ecosystems. |
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| Authors: | Chaturvedi, Yashovardhan1, Choudhuri, Sabarna, Raj, Purushottam2 |
| Source: | Journal of Computational Analysis & Applications; 2025, Vol. 34 Issue 7, p28-42, 15p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 187183823 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187183823 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.48047/jocaaa.2025.34.07.3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 28 Titles: – TitleFull: Cross-Domain Intelligence for Mobile and Autonomous Platforms: Leveraging Applied AI to Detect Risk and Personalize Experiences in FinTech, Retail, and Transportation Ecosystems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chaturvedi, Yashovardhan – PersonEntity: Name: NameFull: Choudhuri, Sabarna – PersonEntity: Name: NameFull: Raj, Purushottam IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 15211398 Numbering: – Type: volume Value: 34 – Type: issue Value: 7 Titles: – TitleFull: Journal of Computational Analysis & Applications Type: main |
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