Recognition of dengue disease patterns using artificial neural networks
This research aimed at the recognition of the patterns for dengue disease patterns using Artificial Neural Networks (ANN’s). Real data was provided by Singaporean National Environment Agency (NEA), for academic purposes only. Obtained data was used to model the behavior of dengue cases based on...
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| Format: | Conference or Workshop Item |
| Language: | English |
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2009
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| Online Access: | http://irep.iium.edu.my/13260/ http://irep.iium.edu.my/13260/1/Recognition_of_dengue_disease_patterns_using_artificial_neural_networks.pdf |
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eprints |
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iium-132602011-12-27T04:07:49Z http://irep.iium.edu.my/13260/ Recognition of dengue disease patterns using artificial neural networks Cetiner, Beytullah Gultekin Sari, Murat Aburas, Hani M. QR Microbiology This research aimed at the recognition of the patterns for dengue disease patterns using Artificial Neural Networks (ANN’s). Real data was provided by Singaporean National Environment Agency (NEA), for academic purposes only. Obtained data was used to model the behavior of dengue cases based on the physical parameters of mean temperature, mean relative humidity and total rainfall. The set of data recorded weekly consists of dengue reported confirmed cases together with three aforementioned parameters and for a six-year period, January 2001 to April 2007. 2009 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/13260/1/Recognition_of_dengue_disease_patterns_using_artificial_neural_networks.pdf Cetiner, Beytullah Gultekin and Sari, Murat and Aburas, Hani M. (2009) Recognition of dengue disease patterns using artificial neural networks. In: 5th International Advanced Technologies Symposium (IATS'09), 13-15 May, 2009, Karabuk, Turkey. |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
QR Microbiology |
| spellingShingle |
QR Microbiology Cetiner, Beytullah Gultekin Sari, Murat Aburas, Hani M. Recognition of dengue disease patterns using artificial neural networks |
| description |
This research aimed at the recognition of the patterns for
dengue disease patterns using Artificial Neural Networks
(ANN’s). Real data was provided by Singaporean National
Environment Agency (NEA), for academic purposes only.
Obtained data was used to model the behavior of dengue
cases based on the physical parameters of mean
temperature, mean relative humidity and total rainfall. The
set of data recorded weekly consists of dengue reported
confirmed cases together with three aforementioned
parameters and for a six-year period, January 2001 to April
2007. |
| format |
Conference or Workshop Item |
| author |
Cetiner, Beytullah Gultekin Sari, Murat Aburas, Hani M. |
| author_facet |
Cetiner, Beytullah Gultekin Sari, Murat Aburas, Hani M. |
| author_sort |
Cetiner, Beytullah Gultekin |
| title |
Recognition of dengue disease patterns using artificial neural networks |
| title_short |
Recognition of dengue disease patterns using artificial neural networks |
| title_full |
Recognition of dengue disease patterns using artificial neural networks |
| title_fullStr |
Recognition of dengue disease patterns using artificial neural networks |
| title_full_unstemmed |
Recognition of dengue disease patterns using artificial neural networks |
| title_sort |
recognition of dengue disease patterns using artificial neural networks |
| publishDate |
2009 |
| url |
http://irep.iium.edu.my/13260/ http://irep.iium.edu.my/13260/1/Recognition_of_dengue_disease_patterns_using_artificial_neural_networks.pdf |
| first_indexed |
2023-09-18T20:22:26Z |
| last_indexed |
2023-09-18T20:22:26Z |
| _version_ |
1777408196745363456 |