Timber defect detection based on systematic feature analysis and one class classifier [electronic resource] /
Thesis (Ph.D (Sains Komputer) - Universiti Teknologi Malaysia, 2015
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Språk: | eng |
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2015
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_version_ | 1826462652247834624 |
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author | Ummi Raba'ah Hashim, 1978-, author |
author_facet | Ummi Raba'ah Hashim, 1978-, author |
author_sort | Ummi Raba'ah Hashim, 1978-, author |
collection | OCEAN |
description | Thesis (Ph.D (Sains Komputer) - Universiti Teknologi Malaysia, 2015 |
first_indexed | 2024-03-05T14:53:53Z |
format | |
id | KOHA-OAI-TEST:527696 |
institution | Universiti Teknologi Malaysia - OCEAN |
language | eng |
last_indexed | 2024-03-05T14:53:53Z |
publishDate | 2015 |
record_format | dspace |
spelling | KOHA-OAI-TEST:5276962020-12-19T17:19:51ZTimber defect detection based on systematic feature analysis and one class classifier [electronic resource] / Ummi Raba'ah Hashim, 1978-, author 2015engThesis (Ph.D (Sains Komputer) - Universiti Teknologi Malaysia, 2015Includes bibliographical referencesPSZJBLWoodWood |
spellingShingle | Wood Wood Ummi Raba'ah Hashim, 1978-, author Timber defect detection based on systematic feature analysis and one class classifier [electronic resource] / |
title | Timber defect detection based on systematic feature analysis and one class classifier [electronic resource] / |
title_full | Timber defect detection based on systematic feature analysis and one class classifier [electronic resource] / |
title_fullStr | Timber defect detection based on systematic feature analysis and one class classifier [electronic resource] / |
title_full_unstemmed | Timber defect detection based on systematic feature analysis and one class classifier [electronic resource] / |
title_short | Timber defect detection based on systematic feature analysis and one class classifier [electronic resource] / |
title_sort | timber defect detection based on systematic feature analysis and one class classifier electronic resource |
topic | Wood Wood |
work_keys_str_mv | AT ummirabaahhashim1978author timberdefectdetectionbasedonsystematicfeatureanalysisandoneclassclassifierelectronicresource |