An Intelligent Classification System For Aggregate Based On Image Processing And Neural Network

Bentuk dan tekstur permukaan aggregat mempengaruhi kekuatan dan struktur konkrit. Secara tradisi, mesin pengayakan mekanikal dan pengukuran manual digunakan bagi menentukan kedua-dua saiz dan bentuk aggregat. Aggregate’s shape and surface texture immensely influence the strength and structure of...

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Main Author:	Al-Batah, Mohammad Subhi Mohammad
Format:	Thesis
Language:	English
Published:	2009
Subjects:	TK1-9971 Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.usm.my/15335/1/AN_INTELLIGENT_CLASSIFICATION_SYSTEM_FOR.pdf
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id	my-usm-ep.15335
record_format	uketd_dc
spelling	my-usm-ep.153352020-01-17T07:06:40Z An Intelligent Classification System For Aggregate Based On Image Processing And Neural Network 2009-03 Al-Batah, Mohammad Subhi Mohammad TK1-9971 Electrical engineering. Electronics. Nuclear engineering Bentuk dan tekstur permukaan aggregat mempengaruhi kekuatan dan struktur konkrit. Secara tradisi, mesin pengayakan mekanikal dan pengukuran manual digunakan bagi menentukan kedua-dua saiz dan bentuk aggregat. Aggregate’s shape and surface texture immensely influence the strength and structure of the resulting concrete. Traditionally, mechanical sieving and manual gauging are used to determine both the size and shape of the aggregates. 2009-03 Thesis http://eprints.usm.my/15335/ http://eprints.usm.my/15335/1/AN_INTELLIGENT_CLASSIFICATION_SYSTEM_FOR.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Kejuruteraan Elektrik dan Elektronik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	TK1-9971 Electrical engineering Electronics Nuclear engineering
spellingShingle	TK1-9971 Electrical engineering Electronics Nuclear engineering Al-Batah, Mohammad Subhi Mohammad An Intelligent Classification System For Aggregate Based On Image Processing And Neural Network
description	Bentuk dan tekstur permukaan aggregat mempengaruhi kekuatan dan struktur konkrit. Secara tradisi, mesin pengayakan mekanikal dan pengukuran manual digunakan bagi menentukan kedua-dua saiz dan bentuk aggregat. Aggregate’s shape and surface texture immensely influence the strength and structure of the resulting concrete. Traditionally, mechanical sieving and manual gauging are used to determine both the size and shape of the aggregates.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Al-Batah, Mohammad Subhi Mohammad
author_facet	Al-Batah, Mohammad Subhi Mohammad
author_sort	Al-Batah, Mohammad Subhi Mohammad
title	An Intelligent Classification System For Aggregate Based On Image Processing And Neural Network
title_short	An Intelligent Classification System For Aggregate Based On Image Processing And Neural Network
title_full	An Intelligent Classification System For Aggregate Based On Image Processing And Neural Network
title_fullStr	An Intelligent Classification System For Aggregate Based On Image Processing And Neural Network
title_full_unstemmed	An Intelligent Classification System For Aggregate Based On Image Processing And Neural Network
title_sort	intelligent classification system for aggregate based on image processing and neural network
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuruteraan Elektrik dan Elektronik
publishDate	2009
url	http://eprints.usm.my/15335/1/AN_INTELLIGENT_CLASSIFICATION_SYSTEM_FOR.pdf
_version_	1747819864172527616

An Intelligent Classification System For Aggregate Based On Image Processing And Neural Network

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