1. Lovely Professional University
  2. Ph.D Thesis
  3. Ph.D Thesis
Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/5033
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAbrol, Shivani Arora-
dc.contributor.authorSharma, Pardeep Kumar-
dc.date.accessioned2024-03-10T05:12:33Z-
dc.date.available2024-03-10T05:12:33Z-
dc.date.issued2021-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/5033-
dc.language.isoen_USen_US
dc.publisherLovely Professional University, Phagwaraen_US
dc.subjectElectrical Engineeringen_US
dc.subjectElectronics and Communication Engineeringen_US
dc.subjectElectronics and Electrical Engineeringen_US
dc.titleFabrication and reliability prediction of polymer electrolyte based dye synsetised solar cell using artificial intelligence techniquesen_US
dc.typeThesisen_US
Appears in Collections:Ph.D Thesis

Files in This Item:
File Description SizeFormat 
41700170.pdf4.17 MBAdobe PDFView/Open
Show simple item record


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