Background: AIDS is a severe medical condition caused by the human immunodeficiency virus (HIV) that primarily attacks the immune system, specifically CD4+ T lymphocytes (a type of white blood cell ...

This paper presents a comparative study of ARIMA and Neural Network AutoRegressive (NNAR) models for time series forecasting. The study focuses on simulated data generated using ARIMA(1, 1, 0) and ...

At 80, the model and actress waves the flag for “full-grown women.” Interview by Guy Trebay The Unstoppables is a series about people whose ambition is undimmed by time. Below, Lauren Hutton explains, ...

Abstract: By understanding the epidemic trend of infectious diseases, grasping the epidemiological characteristics and laws of infectious diseases, and exploring the application of time series ...

Time series Autoregressive Integrated Moving Average (ARIMA) model is often used in landslide prediction and forecasting. However, few conditions have been suggested for the application of ARIMA ...

Abstract: This letter reports the result of modeling of the tropical rain attenuation at 28 GHz adopting the auto-regressive integrated moving average (ARIMA) model. The result obtained is useful for ...

This study aimed to find a model to forecast monthly measles immunization coverage using Autoregressive Integrated Moving Average (ARIMA). The monthly registered data for measles immunization coverage ...

Seasonal components may have their own ARIMA (p, d, q) process, though they tend to be less complicated than the full ARIMA. Since this seasonality peaks once each 12 months and slowly declines, it ...