[HTML][HTML] Modelling and forecasting new cases of Covid-19 in Nigeria: Comparison of regression, ARIMA and machine learning models
SI Busari, TK Samson - Scientific African, 2022 - Elsevier
Covid-19 remains a global pandemic threatening hundreds of countries in the world. The
impact of Covid-19 has been felt in almost every aspect of life and it has introduced globally …
impact of Covid-19 has been felt in almost every aspect of life and it has introduced globally …
Forecasting Measles Incidence in the Philippines: A Comparative Analysis of SARIMA, Holt-Winters, ESN, and NNAR Models
SJE Parreño - Multidisciplinary Science Journal, 2024 - malque.pub
This study examines the incidence of measles in the Philippines from January 1, 2017, to
October 28, 2023, employing four distinct forecasting models: Seasonal Autoregressive …
October 28, 2023, employing four distinct forecasting models: Seasonal Autoregressive …
New approach for forecasting rice and corn production in the Philippines through machine learning models
SJE Parreño, MCJ Anter - Multidisciplinary Science Journal, 2024 - malque.pub
This study presents a comprehensive analysis of machine learning models for forecasting
rice and corn production in the Philippines, focusing on determining the most effective model …
rice and corn production in the Philippines, focusing on determining the most effective model …