Detection of Dengue Disease Empowered with Fused Machine Learning-Reference-Cited by-同舟云学术

Detection of Dengue Disease Empowered with Fused Machine Learning

Published:2022-10-06 Issue: Volume: Page:
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Container-title:2022 International Conference on Cyber Resilience (ICCR)
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Author:

Al Nasar Mohammad Rustom¹,Nasir Iftikhar²,Mohamed Tamer³,Elmitwally Nouh Sabri⁴,Al-Sakhnini Mahmoud M.⁵,Asgher Tayba⁶

Affiliation:

1. American University in the Emirates (AUE), Academic City,College of Computer Information Technology (CCIT),Department of Information Technology Management,Dubai,UAE

2. The Superior University,Lahor,Pakistan

3. Canadian University Dubai,Dubai,UAE

4. School of Computing and Digital Technology, Birmingham City University,Birmingham,UK,B4 7XG

5. School of Business, Skyline University College, University City Sharjah,Sharjah,UAE,1797

6. Riphah International University, Lahore Campus,Riphah School of Computing & Innovation, Faculty of Computing,Lahore,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9995718/9995732/09996009.pdf?arnumber=9996009

Reference50 articles.

1. Dengue in Pakistan: journey from a disease free to a hyper endemic nation;khanani;Dow University of Health Sciences,2011

2. Dengue fever: a major public health concern in Pakistan;sherin;Khyber Medical University Journal,2011

3. The Clinical Features of Co-circulating Dengue Viruses and the Absence of Dengue Hemorrhagic Fever in Pakistan

4. Dengue Fever Prediction: A Data Mining Problem;shaukat;Data Mining for Genomics and Proteomics,2015

5. Dengue Fever (DF) in Pakistan

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