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Pattern recognition models for identification of Malaysian edible bird’s nest

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Bibliographic Details
Main Author: Quek, Meei Chien
Format: Thesis
Language:English
Published: 2017
Subjects:
Edible birds' nests - Malaysia
Food fraud - Research
Online Access:http://psasir.upm.edu.my/id/eprint/92532/1/FK%202017%20108%20-%20T.pdf
http://psasir.upm.edu.my/id/eprint/92532/
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id my.upm.eprints.92532
record_format eprints
spelling my.upm.eprints.925322022-06-01T07:58:55Z http://psasir.upm.edu.my/id/eprint/92532/ Pattern recognition models for identification of Malaysian edible bird’s nest Quek, Meei Chien 2017-06 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/92532/1/FK%202017%20108%20-%20T.pdf Quek, Meei Chien (2017) Pattern recognition models for identification of Malaysian edible bird’s nest. Doctoral thesis, Universiti Putra Malaysia. Edible birds' nests - Malaysia Food fraud - Research
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
topic Edible birds' nests - Malaysia
Food fraud - Research
spellingShingle Edible birds' nests - Malaysia
Food fraud - Research
Quek, Meei Chien
Pattern recognition models for identification of Malaysian edible bird’s nest
format Thesis
author Quek, Meei Chien
author_facet Quek, Meei Chien
author_sort Quek, Meei Chien
title Pattern recognition models for identification of Malaysian edible bird’s nest
title_short Pattern recognition models for identification of Malaysian edible bird’s nest
title_full Pattern recognition models for identification of Malaysian edible bird’s nest
title_fullStr Pattern recognition models for identification of Malaysian edible bird’s nest
title_full_unstemmed Pattern recognition models for identification of Malaysian edible bird’s nest
title_sort pattern recognition models for identification of malaysian edible bird’s nest
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/92532/1/FK%202017%20108%20-%20T.pdf
http://psasir.upm.edu.my/id/eprint/92532/
_version_ 1735388316831842304
score 13.19449

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