To predict the future behavior of a system, we can exploit the information collected in the
past, trying to identify recurring structures in what happened to predict what could happen, if …

Carbonate petroleum reservoirs typically have lower permeabilities and recovery factors
than sandstone reservoirs, so the natural fractures they often incorporate have positive …

Background Under-five mortality is a matter of serious concern for child health as well as the
social development of any country. The paper aimed to find the accuracy of machine …

While the emergence of big data raises concerns regarding governance and public policy, it
also creates opportunities for diversifying the toolkit for analysis for the policy sciences as a …

Background This study aims to explore appropriate model for predicting the disease burden
of pneumoconiosis in Tianjin by comparing the prediction effects of Autoregressive …

Forecasting in the medical domain is critical to the quality of decisions made by physicians,
patients, and health planners. Modeling is one of the most important components of decision …

In connexion with the effect of the self-similar characteristic of satellite network service traffic
on queueing performance, a prediction model with optimised triple exponential smoothing is …

In this study mortality rates due to chronic diseases in 31 European countries are examined,
through certain time series modeling, based on the electronic database of Eurostat. The time …

COVID-19 is the most common infectious disease of the last few years and has caused an
outbreak all around the world. The mortality rate, which was earlier in the hundreds …

Stock prices tend to show trends or seasonality or have random walk movements. Time
series statistical models developed over time aid prediction of stock prices to assist informed …