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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Teknologi MARA Press (Penerbit UiTM)
2024
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| Subjects: | |
| 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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