Downscaling epidemiological time series data for improving forecasting accuracy: An algorithmic approach
Description
Data scarcity and discontinuity are common occurrences in the healthcare and epidemiological dataset and often is needed to form an educative decision and forecast the upcoming scenario. Often to avoid these problems, these data are processed as
