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1 Ergebnisse
1
Deep Learning Based Forecasting Models of Dengue Outbreak i..:
, In:
2024 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES)
,
Ullah, Mohammad Arman
;
Mim, Ayesha Siddiqua
;
Hasan, Mohammad Nayeem
. - p. 1-6 , 2024
Link:
https://doi.org/10.1109/ICSSES62373.2024.10561382
RT T1
2024 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES)
: T1
Deep Learning Based Forecasting Models of Dengue Outbreak in Bangladesh: Comparative Analysis of LSTM, RNN, and GRU Models Using Multivariate Variables with a Two-Decade Dataset
UL https://suche.suub.uni-bremen.de/peid=ieee-10561382&Exemplar=1&LAN=DE A1 Ullah, Mohammad Arman A1 Mim, Ayesha Siddiqua A1 Hasan, Mohammad Nayeem A1 Sadik, Md Rezwane YR 2024 K1 Analytical models K1 Accuracy K1 Recurrent neural networks K1 Computational modeling K1 Predictive models K1 Prediction algorithms K1 Public healthcare K1 dengue fever K1 machine learning K1 LSTM network K1 RNN K1 GRU K1 disease prediction K1 Bangladesh SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICSSES62373.2024.10561382 DO https://doi.org/10.1109/ICSSES62373.2024.10561382 SF ELIB - SuUB Bremen
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