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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| Format: | Thesis |
| Language: | English |
| Published: |
2009
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| Online Access: | http://eprints.usm.my/15335/1/AN_INTELLIGENT_CLASSIFICATION_SYSTEM_FOR.pdf |
| _version_ | 1825829586314723328 |
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| author | Al-Batah, Mohammad Subhi Mohammad |
| author_facet | Al-Batah, Mohammad Subhi Mohammad |
| author_sort | Al-Batah, Mohammad Subhi Mohammad |
| collection | USM |
| 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.
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| first_indexed | 2024-03-06T14:10:49Z |
| format | Thesis |
| id | usm.eprints-15335 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2024-03-06T14:10:49Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | usm.eprints-153352020-01-17T07:06:40Z http://eprints.usm.my/15335/ An Intelligent Classification System For Aggregate Based On Image Processing And Neural Network 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 NonPeerReviewed application/pdf en http://eprints.usm.my/15335/1/AN_INTELLIGENT_CLASSIFICATION_SYSTEM_FOR.pdf Al-Batah, Mohammad Subhi Mohammad (2009) An Intelligent Classification System For Aggregate Based On Image Processing And Neural Network. PhD thesis, Universiti Sains Malaysia. |
| 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 |
| title | 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_short | 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 |
| topic | TK1-9971 Electrical engineering. Electronics. Nuclear engineering |
| url | http://eprints.usm.my/15335/1/AN_INTELLIGENT_CLASSIFICATION_SYSTEM_FOR.pdf |
| work_keys_str_mv | AT albatahmohammadsubhimohammad anintelligentclassificationsystemforaggregatebasedonimageprocessingandneuralnetwork AT albatahmohammadsubhimohammad intelligentclassificationsystemforaggregatebasedonimageprocessingandneuralnetwork |