Detection of Dengue Disease Empowered with Fused Machine Learning

Mohammad Rustom Al Nasar; Iftikhar Nasir; Tamer Mohamed; Nouh Sabri Elmitwally; Mahmoud M. Al-Sakhnini; Tayba Asgher

doi:10.1109/ICCR56254.2022.9996009

Detection of Dengue Disease Empowered with Fused Machine Learning

Mohammad Rustom Al Nasar, Iftikhar Nasir, Tamer Mohamed, Nouh Sabri Elmitwally, Mahmoud M. Al-Sakhnini, Tayba Asgher

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (SciVal)

Original language	English
Title of host publication	International Conference on Cyber Resilience, ICCR 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665461221
DOIs	https://doi.org/10.1109/ICCR56254.2022.9996009
Publication status	Published (VoR) - 2022
Event	2022 International Conference on Cyber Resilience, ICCR 2022 - Dubai, United Arab Emirates Duration: 6 Oct 2022 → 7 Oct 2022

Publication series

Name	International Conference on Cyber Resilience, ICCR 2022

Conference

Conference	2022 International Conference on Cyber Resilience, ICCR 2022
Country/Territory	United Arab Emirates
City	Dubai
Period	6/10/22 → 7/10/22

Keywords

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

Access to Document

10.1109/ICCR56254.2022.9996009

Cite this

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 International Conference on Cyber Resilience, ICCR 2022 (International Conference on Cyber Resilience, ICCR 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCR56254.2022.9996009

@inproceedings{527c8702027249f4a6fc484835d6bda1,

title = "Detection of Dengue Disease Empowered with Fused Machine Learning",

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

author = "{Al Nasar}, {Mohammad Rustom} and Iftikhar Nasir and Tamer Mohamed and Elmitwally, {Nouh Sabri} and Al-Sakhnini, {Mahmoud M.} and Tayba Asgher",

note = "Funding Information: We thank our families and colleagues who provided us with moral support. Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Cyber Resilience, ICCR 2022 ; Conference date: 06-10-2022 Through 07-10-2022",

year = "2022",

doi = "10.1109/ICCR56254.2022.9996009",

language = "English",

series = "International Conference on Cyber Resilience, ICCR 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "International Conference on Cyber Resilience, ICCR 2022",

}

Al Nasar, MR, Nasir, I, Mohamed, T, Elmitwally, NS, Al-Sakhnini, MM & Asgher, T 2022, Detection of Dengue Disease Empowered with Fused Machine Learning. in International Conference on Cyber Resilience, ICCR 2022. International Conference on Cyber Resilience, ICCR 2022, Institute of Electrical and Electronics Engineers Inc., 2022 International Conference on Cyber Resilience, ICCR 2022, Dubai, United Arab Emirates, 6/10/22. https://doi.org/10.1109/ICCR56254.2022.9996009

Detection of Dengue Disease Empowered with Fused Machine Learning. / Al Nasar, Mohammad Rustom; Nasir, Iftikhar; Mohamed, Tamer et al.
International Conference on Cyber Resilience, ICCR 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (International Conference on Cyber Resilience, ICCR 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Detection of Dengue Disease Empowered with Fused Machine Learning

AU - Al Nasar, Mohammad Rustom

AU - Nasir, Iftikhar

AU - Mohamed, Tamer

AU - Elmitwally, Nouh Sabri

AU - Al-Sakhnini, Mahmoud M.

AU - Asgher, Tayba

PY - 2022

Y1 - 2022

KW - Dengue Fever (DF)

KW - Dengue Hemorrhagic Fever (DHF)

KW - Dengue Prediction

KW - Prediction Fused Dengue Model (PFDM)

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U2 - 10.1109/ICCR56254.2022.9996009

DO - 10.1109/ICCR56254.2022.9996009

M3 - Conference contribution

AN - SCOPUS:85146497711

T3 - International Conference on Cyber Resilience, ICCR 2022

BT - International Conference on Cyber Resilience, ICCR 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 International Conference on Cyber Resilience, ICCR 2022

Y2 - 6 October 2022 through 7 October 2022

ER -

Detection of Dengue Disease Empowered with Fused Machine Learning

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Keywords

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