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Audio electrical appliances signature identification using support vector machines

There had been many studies that investigated on the electrical appliances signature identification based on electrical properties.

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Bibliographic Details
Main Author: Tun Noor Aisyah binti Abdul Rahman
Format: text::Final Year Project
Language:English
Published: 2023
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id my.uniten.dspace-21566
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spelling my.uniten.dspace-215662023-05-05T17:22:00Z Audio electrical appliances signature identification using support vector machines Tun Noor Aisyah binti Abdul Rahman There had been many studies that investigated on the electrical appliances signature identification based on electrical properties. 1 63 2023-05-03T17:16:55Z 2023-05-03T17:16:55Z 2012 Resource Types::text::Final Year Project https://irepository.uniten.edu.my/handle/123456789/21566 en application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
description There had been many studies that investigated on the electrical appliances signature identification based on electrical properties.
format Resource Types::text::Final Year Project
author Tun Noor Aisyah binti Abdul Rahman
spellingShingle Tun Noor Aisyah binti Abdul Rahman
Audio electrical appliances signature identification using support vector machines
author_facet Tun Noor Aisyah binti Abdul Rahman
author_sort Tun Noor Aisyah binti Abdul Rahman
title Audio electrical appliances signature identification using support vector machines
title_short Audio electrical appliances signature identification using support vector machines
title_full Audio electrical appliances signature identification using support vector machines
title_fullStr Audio electrical appliances signature identification using support vector machines
title_full_unstemmed Audio electrical appliances signature identification using support vector machines
title_sort audio electrical appliances signature identification using support vector machines
publishDate 2023
_version_ 1806428493638008832
score 13.18916

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