Predicting COVID-19 trends: a deep dive into time-dependent SIRSD with deep learning technique / Abdul Basit ... [et al.]

The COVID-19 pandemic, also known as Coronavirus Disease 2019, has affected over 700 million people globally, resulting in approximately 7 million deaths. Research has proposed multiple mathematical models to institute a disease transmission framework and predict the disease growth. Most of the exis...

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Bibliographic Details

Main Authors:	Basit, Abdul, Mohamad Zain, Jasni, Jumaat, Abdul Kadir, Hamdan, Nur’Izzati, Mojahid, Hafiza Zoya
Format:	Article
Language:	en
Published:	Universiti Teknologi MARA Press (Penerbit UiTM) 2024
Subjects:	Machine learning Communicable diseases and public health
Online Access:	https://ir.uitm.edu.my/id/eprint/105192/1/105192.pdf https://ir.uitm.edu.my/id/eprint/105192/
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