More than a year has passed since the coronavirus 2 (SARS-CoV2) pandemic began, and
no one has been able to forecast the infection cases of the disease with high accuracy …

Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are just a few of
the technologies that can help healthcare organizations support real-time decision-making …

This study presents an innovative approach to determining the coefficients of a high-order
quasilinear autoregressive model using the Generalized Least Deviations Method (GLDM) …

Seasonal behaviour is an attribute of many viral diseases. Like other 'winter'RNA viruses,
infections caused by the causative agent of COVID-19, SARS-CoV-2, appear to exhibit …

Introduction Rabies, a deadly zoonotic viral disease, accounts for over 50,000 fatalities
globally each year. This disease predominantly plagues develo** nations, with Thailand …

Purpose: Coronavirus (COVID-19) is a pandemic that has affected all countries of the world.
Forecasting the spread of corona disease will lead to the necessary measures to be taken …

This research focuses on hyperparameter optimization for LSTM to forecast SARS-CoV-2
infection cases in the Russian Federation, aiming to determine the best combination of …

The effectiveness of predicting the dynamics of the coronavirus pandemic for Russia as a
whole and for Moscow is studied for a two-year period beginning March 2020. The …

COVID-19 pandemic has become the greatest worldwide threat, as it has spread rapidly
among individuals in most countries around the world. This study concerns the problem of …

Актуальность темы. В настоящее время накоплен большой опыт измерения
вибрационных сигналов, разработки методов вибродиагностики и прогнозирования …