Forecasting visceral leishmaniasis in Sudan using hybrid wavelet based deep learning models on climate driven multivariate time series.
- DOI
- 10.1016/j.actatropica.2025.107911
- Published
- 2025 Dec
- Container
- Acta tropica
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.actatropica.2025.107911,
title = {Forecasting visceral leishmaniasis in Sudan using hybrid wavelet based deep learning models on climate driven multivariate time series.},
author = {El Guma F},
year = {2025},
journal = {Acta tropica},
doi = {10.1016/j.actatropica.2025.107911},
url = {https://doi.org/10.1016/j.actatropica.2025.107911}
}RIS
TY - JOUR TI - Forecasting visceral leishmaniasis in Sudan using hybrid wavelet based deep learning models on climate driven multivariate time series. AU - El Guma F PY - 2025 JO - Acta tropica DO - 10.1016/j.actatropica.2025.107911 UR - https://doi.org/10.1016/j.actatropica.2025.107911 ER -
APA
F, E. G. (2025). Forecasting visceral leishmaniasis in Sudan using hybrid wavelet based deep learning models on climate driven multivariate time series.. Acta tropica. https://doi.org/10.1016/j.actatropica.2025.107911
Source records
- pubmed · retrieved 2026-09-26T10:17:05.151Z
- europe-pmc · retrieved 2026-09-26T10:17:05.175Z