Intelligent industrial visual inspection and recognition system /

PSZJBL

Bibliographic Details
Main Authors: Marzuki Khalid, 1959-2012 301632, Universiti Teknologi Malaysia. Fakulti Kejuruteraan Elektrik
Format: text
Language:eng
Published: Skudai : Universiti Teknologi Malaysia, 2006
Subjects:
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author Marzuki Khalid, 1959-2012 301632
Universiti Teknologi Malaysia. Fakulti Kejuruteraan Elektrik
author_facet Marzuki Khalid, 1959-2012 301632
Universiti Teknologi Malaysia. Fakulti Kejuruteraan Elektrik
author_sort Marzuki Khalid, 1959-2012 301632
collection OCEAN
description PSZJBL
first_indexed 2024-03-05T02:43:53Z
format text
id KOHA-OAI-TEST:284853
institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-03-05T02:43:53Z
publishDate 2006
publisher Skudai : Universiti Teknologi Malaysia,
record_format dspace
spelling KOHA-OAI-TEST:2848532022-03-08T01:50:48ZIntelligent industrial visual inspection and recognition system / Marzuki Khalid, 1959-2012 301632 Universiti Teknologi Malaysia. Fakulti Kejuruteraan Elektrik textSkudai : Universiti Teknologi Malaysia,2006engPSZJBLArtificial intelligence
spellingShingle Artificial intelligence
Marzuki Khalid, 1959-2012 301632
Universiti Teknologi Malaysia. Fakulti Kejuruteraan Elektrik
Intelligent industrial visual inspection and recognition system /
title Intelligent industrial visual inspection and recognition system /
title_full Intelligent industrial visual inspection and recognition system /
title_fullStr Intelligent industrial visual inspection and recognition system /
title_full_unstemmed Intelligent industrial visual inspection and recognition system /
title_short Intelligent industrial visual inspection and recognition system /
title_sort intelligent industrial visual inspection and recognition system
topic Artificial intelligence
work_keys_str_mv AT marzukikhalid19592012301632 intelligentindustrialvisualinspectionandrecognitionsystem
AT universititeknologimalaysiafakultikejuruteraanelektrik intelligentindustrialvisualinspectionandrecognitionsystem