Please use this identifier to cite or link to this item: https://dr.ddn.upes.ac.in//xmlui/handle/123456789/3302
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGoswami, Ojasvi-
dc.date.accessioned2021-04-23T12:14:58Z-
dc.date.available2021-04-23T12:14:58Z-
dc.date.issued2016-04-
dc.identifier.citationUnder the guidance of Prof. Visbal Kaushiken_US
dc.identifier.urihttp://hdl.handle.net/123456789/3302-
dc.descriptionSubmitted in partial fulfillment for the requirement of the degree of M. Tech (Artificial Intelligence and Artificial Neural Networks)en_US
dc.language.isoenen_US
dc.publisherCentre for Information Technology, UPES, Dehradunen_US
dc.subjectDissertationen_US
dc.subjectInformation Technologyen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectArtificial Neural Networken_US
dc.subjectComputer Scienceen_US
dc.subjectVibration Analysisen_US
dc.subjectCondition Monitoring Programen_US
dc.subjectPredictive Maintenanceen_US
dc.subjectMachine Learning Techniquesen_US
dc.titleData driven framework for real-time machine learning based prediction on engine vibration sensory dataen_US
dc.typeThesisen_US
Appears in Collections:Post Graduate

Files in This Item:
File Description SizeFormat 
R102214004.pdf5.52 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.