Defining livability from user surveys and road network analytics with machine learning models

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dc.contributor.guideLavanya, G
dc.coverage.spatialDefining livability from user surveys and road network analytics with machine learning models
dc.creator.researcherSujatha, V
dc.date.accessioned2025-06-09T05:24:58Z
dc.date.available2025-06-09T05:24:58Z
dc.date.awarded2025
dc.date.completed2025
dc.date.registered
dc.description.note
dc.format.accompanyingmaterialNone
dc.format.dimensions21cm.
dc.format.extentxvii,117p.
dc.identifier.researcherid
dc.identifier.urihttp://hdl.handle.net/10603/644812
dc.languageEnglish
dc.publisher.institutionFaculty of Civil Engineering
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.relationp.110-116
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Civil
dc.subject.keywordIncludes sustainability
dc.subject.keywordleveraged Machine Learning
dc.subject.keywordLiveability is a multifaceted concept
dc.titleDefining livability from user surveys and road network analytics with machine learning models
dc.title.alternative
dc.type.degreePh.D.

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