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dc.contributor.advisorZualkernan, Imran
dc.contributor.authorArshad, Muhammad Arbab
dc.date.accessioned2021-10-04T06:46:07Z
dc.date.available2021-10-04T06:46:07Z
dc.date.issued2021-08
dc.identifier.other35.232-2021.40
dc.identifier.urihttp://hdl.handle.net/11073/21556
dc.descriptionA Master of Science thesis in Ccomputer Engineering by Muhammad Arbab Arshad entitled, “Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data”, submitted in August 2021. Thesis advisor is Dr. Imran Zualkernan. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).en_US
dc.description.sponsorshipCollege of Engineeringen_US
dc.description.sponsorshipDepartment of Computer Science and Engineeringen_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesMaster of Science in Computer Engineering (MSCoE)en_US
dc.subjectUnsupervised Deep Learningen_US
dc.subjectAudio Classificationen_US
dc.subjectWildlife Monitoringen_US
dc.titleUnsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Dataen_US
dc.typeThesisen_US


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