Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Phatsavee Ongruk"'
Autor:
Kraisak Kesorn, Phatsavee Ongruk, Jakkrawarn Chompoosri, Atchara Phumee, Usavadee Thavara, Apiwat Tawatsin, Padet Siriyasatien
Publikováno v:
PLoS ONE, Vol 10, Iss 5, p e0125049 (2015)
BackgroundIn the past few decades, several researchers have proposed highly accurate prediction models that have typically relied on climate parameters. However, climate factors can be unreliable and can lower the effectiveness of prediction when the
Externí odkaz:
https://doaj.org/article/82d9c438caba459ea2503857525abdc1
Publikováno v:
Advanced Materials Research. :1457-1461
There are several factors that can be used to predict a dengue fever outbreak. Almost all existing research approaches, however, usually exploit the use of a basic set of core attributes to forecast an outbreak, e.g. temperature, humidity, wind speed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c4abaa9898f8ec9a2d3916975687611
https://doi.org/10.4028/www.scientific.net/amr.931-932.1457
https://doi.org/10.4028/www.scientific.net/amr.931-932.1457
Autor:
Padet Siriyasatien, Apiwat Tawatsin, Jakkrawarn Chompoosri, Phatsavee Ongruk, Kraisak Kesorn, Atchara Phumee, Usavadee Thavara
Publikováno v:
PLoS ONE, Vol 10, Iss 5, p e0125049 (2015)
PLoS ONE
PLoS ONE
BackgroundIn the past few decades, several researchers have proposed highly accurate prediction models that have typically relied on climate parameters. However, climate factors can be unreliable and can lower the effectiveness of prediction when the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ded949b2e239edd68ed26c8b5847fc7a
https://doaj.org/article/82d9c438caba459ea2503857525abdc1
https://doaj.org/article/82d9c438caba459ea2503857525abdc1
Publikováno v:
BMC Bioinformatics
Background Many popular dengue forecasting techniques have been used by several researchers to extrapolate dengue incidence rates, including the K-H model, support vector machines (SVM), and artificial neural networks (ANN). The time series analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85fb23e2fdab961b68037efc8407b34c