Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/2134
Full metadata record
DC FieldValueLanguage
dc.contributor.authorVerma, Amanen_US
dc.contributor.authorJain, Trapti [Guide]en_US
dc.contributor.authorTiwari, Aruna [Guide]en_US
dc.date.accessioned2020-02-14T07:13:21Z-
dc.date.available2020-02-14T07:13:21Z-
dc.date.issued2019-12-04-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/2134-
dc.language.isoenen_US
dc.publisherDiscipline of Electrical Engineering, IIT Indoreen_US
dc.relation.ispartofseriesBTP488;EE 2019 VER-
dc.subjectElectrical Engineeringen_US
dc.titlePower system harmonic estimation using neural networken_US
dc.typeB.Tech Projecten_US
Appears in Collections:Department of Electrical Engineering_BTP

Files in This Item:
File Description SizeFormat 
BTP_488_Aman_Verma_160002004.pdf1.56 MBAdobe PDFThumbnail
View/Open


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

Altmetric Badge: