End of Project: RIGS16-350-0514

Htike@Muhammad Yusof, Zaw Zaw (2017) End of Project: RIGS16-350-0514. Project Report. UNSPECIFIED. (Unpublished)

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Abstract

This project proposes a novel machine learning algorithm called deep auto encoder network for learning the glass break model in a semi-supervised manner from audio data and for accurate detection of glass break sounds using unordered fuzzy rule induction algorithm.

Item Type:	Monograph (Project Report)
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering
Depositing User:	Mr. Zaw Zaw Htike
Date Deposited:	30 Mar 2021 10:46
Last Modified:	30 Mar 2021 10:46
URI:	http://irep.iium.edu.my/id/eprint/70354

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