A Computational Approach to Predict the Spread of Dengue

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Bibliographic Details
Main Author: Kok, Woon Chee
Format: Thesis
Language:English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2018
Subjects:
Online Access:http://ir.unimas.my/id/eprint/24893/3/Kok%20Woon.pdf
http://ir.unimas.my/id/eprint/24893/
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spelling my.unimas.ir.248932023-11-14T01:33:49Z http://ir.unimas.my/id/eprint/24893/ A Computational Approach to Predict the Spread of Dengue Kok, Woon Chee QA75 Electronic computers. Computer science Universiti Malaysia Sarawak, (UNIMAS) 2018 Thesis NonPeerReviewed text en http://ir.unimas.my/id/eprint/24893/3/Kok%20Woon.pdf Kok, Woon Chee (2018) A Computational Approach to Predict the Spread of Dengue. Masters thesis, Universiti Malaysia Sarawak.
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Kok, Woon Chee
A Computational Approach to Predict the Spread of Dengue
format Thesis
author Kok, Woon Chee
author_facet Kok, Woon Chee
author_sort Kok, Woon Chee
title A Computational Approach to Predict the Spread of Dengue
title_short A Computational Approach to Predict the Spread of Dengue
title_full A Computational Approach to Predict the Spread of Dengue
title_fullStr A Computational Approach to Predict the Spread of Dengue
title_full_unstemmed A Computational Approach to Predict the Spread of Dengue
title_sort computational approach to predict the spread of dengue
publisher Universiti Malaysia Sarawak, (UNIMAS)
publishDate 2018
url http://ir.unimas.my/id/eprint/24893/3/Kok%20Woon.pdf
http://ir.unimas.my/id/eprint/24893/
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score 13.211869