Improvement of time forecasting models using machine learning for future pandemic applications based on COVID-19 data 2020-2022
Improving forecasts, particularly the accuracy, efficiency, and precision of time-series forecasts, is becoming critical for authorities to predict, monitor, and prevent the spread of the Coronavirus disease. However, the results obtained from the predictive models are imprecise and inefficient beca...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Published: |
MDPI
2023
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/38496/ |
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