ENHANCE RECOGNITION OF EOTC SAINT ICONS USING ENSEMBLE OF DEEP LEARNING ALGORITHIM

dc.contributor.author	Assefa, Tiruwork
dc.date.accessioned	2024-12-30T07:00:42Z
dc.date.available	2024-12-30T07:00:42Z
dc.date.issued	2024-12-30
dc.identifier.uri	http://hdl.handle.net/123456789/8107
dc.description.abstract	the proposed ensemble model which is EEOTCSIRNET is 99.5% and a total of 3 misclassified images. So the proposed model performance having a promising result and it will have significant when deploy in mobile application for different users including saint icon painters, historians, religion follower, and other users to know easily the type of saint icons. Keywords:	en_US
dc.description.sponsorship	uog	en_US
dc.language.iso	en	en_US
dc.subject	the proposed ensemble model which is EEOTCSIRNET is 99.5% and a total of 3 misclassified images. So the proposed model performance having a promising result and it will have significant when deploy in mobile application for different users including saint icon painters, historians, religion follower, and other users to know easily the type of saint icons. Keywords:	en_US
dc.title	ENHANCE RECOGNITION OF EOTC SAINT ICONS USING ENSEMBLE OF DEEP LEARNING ALGORITHIM	en_US
dc.type	Thesis	en_US