System for forecasting COVID-19 cases using time-series and neural networks models

M Abotaleb, T Makarovskikh - Engineering proceedings, 2021 - mdpi.com
COVID-19 is one of the biggest challenges that countries face at the present time, as
infections and deaths change daily and because this pandemic has a dynamic spread. Our …

Analysis of neural network and statistical models used for forecasting of a disease infection cases

MSA Abotaleb, T Makarovskikh - … International Conference on …, 2021 - ieeexplore.ieee.org
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 …

Comparison between two systems for forecasting Covid-19 infected cases

T Makarovskikh, M Abotaleb - … Human Society Against Epidemics: First IFIP …, 2021 - Springer
Building a system to forecast Covid-19 infected cases is of great importance at the present
time, so in this article, we present two systems to forecast cumulative Covid-19 infected …

[HTML][HTML] Development of algorithms for choosing the best time series models and neural networks to predict COVID-19 Cases

MSA Abotaleb, TA Makarovskikh - Вестник Южно-Уральского …, 2021 - cyberleninka.ru
Time series analysis became one of the most investigated fields of knowledge during
spreading of the COVID-19 around the world. The problem of modeling and forecasting …

The research of mathematical models for forecasting Covid-19 cases

MSA Abotaleb, T Makarovskikh - International Conference on …, 2021 - Springer
The world is currently facing a Covid-19 pandemic and that virus is spreading rapidly among
people, which leads to an increase in the number of infection cases and also an increase in …

Data analytics and SIR modeling of COVID-19 in Bulgaria

M Ivanova, L Dospatliev - International Journal of Applied Mathematics, 2020 - diogenes.bg
Abstract The Novel Human Coronavirus (SARS-CoV-2) also well-known as COVID-19 is the
greatest public health challenge of the 21st century. The aims of this article were to provide …

[HTML][HTML] Автоматический подбор параметров модели ARIMA для прогноза количества случаев заражения и смерти от Covid-19

ТА Макаровских, АМС Абделсалам - Вестник Южно-Уральского …, 2021 - cyberleninka.ru
В работе исследовано применение модели ARIMA прогнозирования временных рядов
для анализа открытых данных о распространении коронавирусной инфекции в ряде …

Mapping first to second wave transition of covid19 indian data via sigmoid function and prediction of third wave

S Mondal, S Ghosh - medRxiv, 2021 - medrxiv.org
Understanding first and second wave of covid19 Indian data along with its few selective
states, we have realized a transition between two Sigmoid pattern with twice larger growth …

[PDF][PDF] Аботалеб Мостафа Салахелдин Абделсалам

АП ВРЕМЕННЫХ - 2024 - susu.ru
Актуальность темы. В настоящее время накоплен большой опыт измерения
вибрационных сигналов, разработки методов вибродиагностики и прогнозирования …

Mapping First to Third Wave Transition of Covid19 Indian Data via Sigmoid Function

S Mondal, S Ghosh - … Dynamics and Applications: Proceedings of the …, 2022 - Springer
Understanding first and second wave of covid19 Indian data along with its few selective
states, we have realized a transition between two Sigmoid pattern with twice larger growth …