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High-Speed Wavelet Image Processing Using the Winograd Method with Downsampling

Mathematics, 2023
Wavelets are actively used to solve a wide range of image processing problems in various fields of science and technology. Modern image processing systems cannot keep up with the rapid growth in digital visual information.
Pavel Lyakhov, Nataliya Semyonova, Nikolay Nagornov, Maxim Bergerman, Albina Abdulsalyamova   +4 more
doaj   +1 more source

Effective Utilization of Data for Predicting COVID-19 Dynamics: An Exploration through Machine Learning Models

International Journal of Telemedicine and Applications, 2023
This study is centered around the COVID-19 pandemic which has posed a global health concern for over three years. It emphasizes the importance of effectively utilizing epidemic simulation models for informed decision-making concerning epidemic control ...
Dmytro Chumachenko, Tetiana Dudkina, Sergiy Yakovlev, Tetyana Chumachenko   +3 more
doaj   +1 more source

Comparative assessment of methods for short-term forecasts of COVID-19 hospital admissions in England at the local level

BMC Medicine, 2022
Background Forecasting healthcare demand is essential in epidemic settings, both to inform situational awareness and facilitate resource planning. Ideally, forecasts should be robust across time and locations.
Sophie Meakin, Sam Abbott, Nikos Bosse, James Munday, Hugo Gruson, Joel Hellewell, Katharine Sherratt, CMMID COVID-19 Working Group, Sebastian Funk   +8 more
doaj   +1 more source

Implications of the school-household network structure on SARS-CoV-2 transmission under school reopening strategies in England

Nature Communications, 2021
Many countries have closed schools as part of their COVID-19 response. Here, the authors model SARS-CoV-2 transmission on a network of schools and households in England, and find that risk of transmission between schools is lower if primary schools are ...
James D. Munday, Katharine Sherratt, Sophie Meakin, Akira Endo, Carl A. B. Pearson, Joel Hellewell, Sam Abbott, Nikos I. Bosse, CMMID COVID-19 Working Group, Katherine E. Atkins, Jacco Wallinga, W. John Edmunds, Albert Jan van Hoek, Sebastian Funk   +13 more
doaj   +1 more source

Estimating the impact of reopening schools on the reproduction number of SARS-CoV-2 in England, using weekly contact survey data

BMC Medicine, 2021
Background Schools were closed in England on 4 January 2021 as part of increased national restrictions to curb transmission of SARS-CoV-2. The UK government reopened schools on 8 March.
James D. Munday, Christopher I. Jarvis, Amy Gimma, Kerry L. M. Wong, Kevin van Zandvoort, CMMID COVID-19 Working Group, Sebastian Funk, W. John Edmunds   +7 more
doaj   +1 more source

Complex-tensor theory of simple smectics

Nature Communications, 2023
As lamellar materials, smectics exhibit both liquid and solid characteristics, making them difficult to model at the mesoscale. Paget et al. propose a complex tensor order parameter that reflects the smectic symmetries, capable of describing complex ...
Jack Paget, Marco G. Mazza, Andrew J. Archer, Tyler N. Shendruk   +3 more
doaj   +1 more source

Stability analysis of the coexistence equilibrium of a balanced metapopulation model

Scientific Reports, 2021
We analyze the stability of a unique coexistence equilibrium point of a system of ordinary differential equations (ODE system) modelling the dynamics of a metapopulation, more specifically, a set of local populations inhabiting discrete habitat patches ...
Shodhan Rao, Nathan Muyinda, Bernard De Baets   +2 more
doaj   +1 more source

Reconstructing the early global dynamics of under-ascertained COVID-19 cases and infections

BMC Medicine, 2020
Background Asymptomatic or subclinical SARS-CoV-2 infections are often unreported, which means that confirmed case counts may not accurately reflect underlying epidemic dynamics.
Timothy W. Russell, Nick Golding, Joel Hellewell, Sam Abbott, Lawrence Wright, Carl A. B. Pearson, Kevin van Zandvoort, Christopher I. Jarvis, Hamish Gibbs, Yang Liu, Rosalind M. Eggo, W. John Edmunds, Adam J. Kucharski, on behalf of the CMMID COVID-19 working group   +13 more
doaj   +1 more source

Mathematical Modelling Economy

Bulletin of the South Ural State University. Series "Mathematical Modelling, Programming and Computer Software", 2023
Summary: The article presents an overview of the main methods of economic modelling used in scientific research over the past twenty years. This overview does not claim to cover all areas, methods and models used in scientific research in the field of economics, since it is impossible to do within a single article. We consider mathematical modelling of
openaire   +3 more sources

Monte Carlo solution of heat conductivity problems with quadratic nonlinearity on the boundary of domain [PDF]

E3S Web of Conferences, 2023
In this work, we study the approach connected with branching Markov processes. Branching Markov random processes are created to solve boundary-value problems (BVR) with polynomial nonlinearities.
Rasulov Abdujabar, Raimova Gulnora, Hasanova Dilfusa   +2 more
doaj   +1 more source