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  1. IR@JU
  2. Ph.D. Thesis
  3. Faculty Council of Engineering & Technology
  4. 2026 (Awarded Year)
Please use this identifier to cite or link to this item: https://irju.jdvu.ac.in/jspui/handle/123456789/10194
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dc.contributor.advisorChowdhury, Chandreyee, guide-
dc.contributor.authorMallik, Manjarini-
dc.date.accessioned2026-07-08T10:40:38Z-
dc.date.available2026-07-08T10:40:38Z-
dc.date.issued2025-
dc.date.submitted2026-
dc.identifier.otherTC4597-
dc.identifier.urihttps://irju.jdvu.ac.in/jspui/handle/123456789/10194-
dc.descriptionSupervisor(s): Chowdhury, Chandreyee (Department of Computer Science & Engineering, J.U.)en_US
dc.descriptionAwarded year: 2026en_US
dc.format.extentxxii, 147 p.en_US
dc.language.isoenen_US
dc.publisherJadavpur University, Kolkata, West Bengalen_US
dc.subjectIndoor Localizationen_US
dc.subjectMachine Learningen_US
dc.subjectDeep Learningen_US
dc.subjectWiFi Fingerprintingen_US
dc.subjectData Augmentationen_US
dc.titleExploring impact of location granularity for improving indoor localization performance through machine learning techniquesen_US
dc.typeTexten_US
dc.departmentJadavpur University. Department of Computer Science and Engineeringen_US
Appears in Collections:2026 (Awarded Year)

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PhD Thesis (Computer Science and Engineering) Manjarini Mallik.pdf118.1 MBAdobe PDFView/Open
Abstract Manjarini Mallik.pdf797.57 kBAdobe PDFView/Open
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