Целью данной работы является исследование процесса применения адаптивных
ансамблей методов машинного обучения к задаче прогнозирования временных рядов …

Magelang City has experienced a significant decline in the rice production sector, triggering
the need for forecasting research as the next crucial step. This research aims to forecast rice …

Forecasting with a precise evaluation of new cases and the rate of occurrence is essential
for the effective implementation of governmental initiatives and early prevention of any …

With the continuous acceleration of economic globalisation, cross-border e-commerce
enterprises have started to apply big data technology to find business information, among …

Purpose The COVID-19 pandemic has affected more than 192 countries. The condition
results in a respiratory illness (eg, influenza) with signs and symptoms such as cold, cough …

Even though many advancements have been materialized in the prevention and control of
infectious diseases, mitigation is a challenging task. The COVID‐19 pandemic has shown …

Coronavirus disease 2019 or Covid-19, which is also called acute respiratory disease NCAV-
2019 or commonly called corona, is a respiratory disease caused by acute respiratory …

Introduction: The COVID-19 pandemic has resulted in a substantial number of deaths
worldwide, making it crucial to conduct a periodical behavior analysis of the COVID-19 …

The purpose of this work is to study the process of applying adaptive ensembles of machine
learning methods to the problem of time series forecasting, mainly for streaming data …

Rapidly spreading COVID-19 virus and its variants, especially in metropolitan areas around
the world, became a major health public concern. The tendency of COVID-19 pandemic and …