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Temporal and Spatiotemporal Arboviruses Forecasting by Mach..:

de Lima, Clarisse Lins ; da Silva, Ana Clara Gomes ; Moreno, Giselle Machado Magalhaes...
https://discovery.ucl.ac.uk/id/eprint/10151292/1/Musah_Temporal%20and%20Spatiotemporal%20Arboviruses%20Forecasting%20by%20Machine%20Learning.%20A%20Systematic%20Review_VoR.pdf. , 2022

Link: https://discovery.ucl.ac.uk/id/eprint/10151292/1/Musah..

RT Journal
T1 <Title>Temporal and Spatiotemporal Arboviruses Forecasting by Machine Learning: A Systematic Review</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftucl:oai:eprints.ucl.ac.uk.OAI2:10151292&Exemplar=1&LAN=DE
				
A1 de Lima, Clarisse Lins
A1 da Silva, Ana Clara Gomes
A1 Moreno, Giselle Machado Magalhaes
A1 da Silva, Cecilia Cordeiro
A1 Musah, Anwar
A1 Aldosery, Aisha
A1 Dutra, Livia
A1 Ambrizzi, Tercio
A1 Borges, Iuri VG
A1 Tunali, Merve
A1 Basibuyuk, Selma
A1 Yenigun, Orhan
A1 Massoni, Tiago Lima
A1 Browning, Ella
A1 Jones, Kate
A1 Campos, Luiza
A1 Kostkova, Patty
A1 da Silva Filho, Abel Guilhermino
A1 dos Santos, Wellington Pinheiro
PB FRONTIERS MEDIA SA
YR 2022
K1 digital epidemiology
K1 computational intelligence
K1 arboviruses forecast
K1 machine learning
K1 systematic review
K1 dengue
K1 chikungunya
K1 Zika virus
JF https://discovery.ucl.ac.uk/id/eprint/10151292/1/Musah_Temporal%20and%20Spatiotemporal%20Arboviruses%20Forecasting%20by%20Machine%20Learning.%20A%20Systematic%20Review_VoR.pdf
LK http://dx.doi.org/https://discovery.ucl.ac.uk/id/eprint/10151292/1/Musah_Temporal%20and%20Spatiotemporal%20Arboviruses%20Forecasting%20by%20Machine%20Learning.%20A%20Systematic%20Review_VoR.pdf
DO https://discovery.ucl.ac.uk/id/eprint/10151292/1/Musah_Temporal%20and%20Spatiotemporal%20Arboviruses%20Forecasting%20by%20Machine%20Learning.%20A%20Systematic%20Review_VoR.pdf
SF ELIB - SuUB Bremen

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