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Titlebook: Computational Intelligence for COVID-19 and Future Pandemics; Emerging Application Utku Kose,Junzo Watada,Jose Antonio Marmolejo Sauc Book

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發(fā)表于 2025-4-1 05:34:43 | 只看該作者
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發(fā)表于 2025-4-1 07:32:51 | 只看該作者
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發(fā)表于 2025-4-1 11:15:13 | 只看該作者
Geographical Weighted Regression Approach: A Case Study on Covid-19 in India,d OLS models were performed on the variable testing labs (response), and GWR was found to be a better model with R. (0.9207) and AICc (266.9961) over OLS. GWR using STATA was applied on testing samples (response) of Covid-19 and the significance test shows observed (5.2132) and the p-value (0.030) w
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發(fā)表于 2025-4-1 18:11:35 | 只看該作者
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發(fā)表于 2025-4-1 23:57:44 | 只看該作者
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發(fā)表于 2025-4-2 05:56:29 | 只看該作者
A Predictive Modelling of Covid-19 Reoccurrence Using Recurrent Neural Network,he predicted model structure are discussed through analysis, the outcome shows time, and the direction of backpropagation would provide an acceptable result. The purpose of this research is to predict whether or not the curve of the virus will flatten or continue to expand over time.
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發(fā)表于 2025-4-2 08:02:50 | 只看該作者
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