Detection of Dengue Disease Empowered with Fused Machine Learning

Files

Access Instruction 755.pdf (44.96 KB)

Date

2022

Authors

Al Nasar, Mohammad Rustom

Nasir, Iftikhar

Elmitwally, Nouh Sabri

Al-Sakhnini, Mahmoud M.

Publisher

Institute of Electrical and Electronics Engineers Inc.

Keywords

Dengue Fever (DF), Dengue Hemorrhagic Fever (DHF), Dengue Prediction, Prediction Fused Dengue Model (PFDM)

Citation

Al Nasar, M. R., Nasir, I., Mohamed, T., Elmitwally, N. S., Al-Sakhnini, M. M., & Asgher, T. (2022). Detection of dengue disease empowered with fused machine learning. In 2022 International Conference on Cyber Resilience (ICCR), pp. 01-10, https://doi.org/10.1109/ICCR56254.2022.9996009

URI

https://doi.org/10.1109/ICCR56254.2022.9996009
https://hdl.handle.net/20.500.12519/755

Collections

Department of Computer Engineering and Computational Sciences