Fabrication and reliability prediction of polymer electrolyte based dye synsetised solar cell using artificial intelligence technique
| dc.contributor.guide | Bhargava, Cherry and Sharma, Pardeep Kumar | |
| dc.coverage.spatial | ||
| dc.creator.researcher | Abrol, Shivani Arora | |
| dc.date.accessioned | 2022-04-29T10:21:34Z | |
| dc.date.available | 2022-04-29T10:21:34Z | |
| dc.date.awarded | ||
| dc.date.completed | 2021 | |
| dc.date.registered | 2018 | |
| dc.description.abstract | newline | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | DVD | |
| dc.format.dimensions | ||
| dc.format.extent | ||
| dc.identifier.uri | http://hdl.handle.net/10603/377494 | |
| dc.language | English | |
| dc.publisher.institution | Faculty of Technology and Sciences | |
| dc.publisher.place | Phagwara | |
| dc.publisher.university | Lovely Professional University | |
| dc.relation | ||
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Engineering | |
| dc.subject.keyword | Engineering and Technology | |
| dc.subject.keyword | Engineering Electrical and Electronic | |
| dc.title | Fabrication and reliability prediction of polymer electrolyte based dye synsetised solar cell using artificial intelligence technique | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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