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Please use this identifier to cite or link to this item: http://20.198.91.3:8080/jspui/handle/123456789/7815
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dc.contributor.advisorNeogy, Sarmistha-
dc.contributor.advisorChowdhury, Chandreyee-
dc.contributor.authorPanja, Ayan Kumar-
dc.date.accessioned2025-04-28T07:43:08Z-
dc.date.available2025-04-28T07:43:08Z-
dc.date.issued2024-
dc.date.submitted2024-
dc.identifier.otherTC4126-
dc.identifier.urihttp://20.198.91.3:8080/jspui/handle/123456789/7815-
dc.descriptionAwarded year: 2024en_US
dc.format.extent[xxi], 147 p.en_US
dc.language.isoenen_US
dc.publisherJadavpur University, Kolkata, West Bengalen_US
dc.subjectIndoor localizationen_US
dc.subjectRSS fingerprintingen_US
dc.subjectDimentionality reductionen_US
dc.subjectWi-fien_US
dc.subjectKnowledge distillationen_US
dc.titleDeveloping techniques using machine learning for dimensionality reduction in wifi-based indoor localizationen_US
dc.typeTexten_US
dc.departmentJadavpur university. Department of Computer Science and Engineeringen_US
Appears in Collections:2024 (Awarded Year)

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PhD Thesis (CSE) Ayan Kumar Panja.pdf13.17 MBAdobe PDFView/Open
Abstract Ayan Kumar Panja.pdf188.74 kBAdobe PDFView/Open


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