DSpace logo

Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/20337
Full metadata record
DC FieldValueLanguage
dc.contributor.authorThakur, Uttam Narendra-
dc.date.accessioned2025-12-10T06:42:05Z-
dc.date.available2025-12-10T06:42:05Z-
dc.date.issued2025-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/20337-
dc.identifier.urihttp://hdl.handle.net/10603/674311-
dc.descriptionUnder the Supervision of Prof. Arnab Hazra and co-supervision of Prof. Pawan K. Ajmeraen_US
dc.language.isoenen_US
dc.publisherBITS PILANI, Pilani campusen_US
dc.subjectElectrical engineeringen_US
dc.subjectNanomaterialen_US
dc.subjectVOC Discriminationen_US
dc.subjectStatistical analysisen_US
dc.titleNanomaterial Based Sensors for VOC Discrimination Feature Extraction Techniques and Statistical Analysisen_US
dc.typeThesisen_US
Appears in Collections:Department of Electrical and Electronics Engineering

Files in This Item:
There are no files associated with this item.


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