The COVID-19 epidemic analysis and diagnosis using deep learning: A systematic literature review and future directions
Abstract Since December 2019, the COVID-19 outbreak has resulted in countless deaths
and has harmed all facets of human existence. COVID-19 has been designated an epidemic …
and has harmed all facets of human existence. COVID-19 has been designated an epidemic …
[HTML][HTML] Application of artificial intelligence-based regression methods in the problem of COVID-19 spread prediction: a systematic review
J Musulin, S Baressi Šegota, D Štifanić… - International journal of …, 2021 - mdpi.com
COVID-19 is one of the greatest challenges humanity has faced recently, forcing a change in
the daily lives of billions of people worldwide. Therefore, many efforts have been made by …
the daily lives of billions of people worldwide. Therefore, many efforts have been made by …
The design of intelligent networks for entropy generation in Ree-Eyring dissipative fluid flow system along quartic autocatalysis chemical reactions
In this framework entropy generation optimization in dissipative flow of Ree-Eyring fluid
model (EGODF-RFM) with chemical reaction of quartic autocatalysis between two rotating …
model (EGODF-RFM) with chemical reaction of quartic autocatalysis between two rotating …
[HTML][HTML] COVID-19 anomaly detection and classification method based on supervised machine learning of chest X-ray images
The term COVID-19 is an abbreviation of Coronavirus 2019, which is considered a global
pandemic that threatens the lives of millions of people. Early detection of the disease offers …
pandemic that threatens the lives of millions of people. Early detection of the disease offers …
Intelligent backpropagated neural networks application on Darcy-Forchheimer ferrofluid slip flow system
Ferroliquids are made of small magnetic fragments of iron, nanoscale ferrimagnetic particles
suspended on a base liquid (usually organic solvent/water) and are called colloidal liquids …
suspended on a base liquid (usually organic solvent/water) and are called colloidal liquids …
[HTML][HTML] Numerical treatment of squeezed MHD Jeffrey fluid flow with Cattaneo Chrisstov heat flux in a rotating frame using Levnberg-Marquard method
The present communication examines the unsteady-two-dimensional (2-D) squeezing flow
of magnetohydrodynamic (MHD) Jeffrey fluid between two parallel plates (HT2DUSMHDJF) …
of magnetohydrodynamic (MHD) Jeffrey fluid between two parallel plates (HT2DUSMHDJF) …
[HTML][HTML] Electro-osmotic transport of a Williamson fluid within a ciliated microchannel with heat transfer analysis
A novel theoretical model is devised for electro osmotic flow of Williamson fluid model by
incorporating heat transfer phenomena in a micro ciliated channel. The physical fluid model …
incorporating heat transfer phenomena in a micro ciliated channel. The physical fluid model …
Intelligent computing Levenberg Marquardt approach for entropy optimized single-phase comparative study of second grade nanofluidic system
In the presented research study, the novel intelligence based numerical computation by
artificial neural networks backpropagated with Levenberg Marquardt method (ANN-BLMM) …
artificial neural networks backpropagated with Levenberg Marquardt method (ANN-BLMM) …
Artificial neural network scheme to solve the nonlinear influenza disease model
The aim of this study is to present the numerical simulations of the influenza disease
nonlinear system (IDNS) using the stochastic artificial neural networks (ANNs) procedures …
nonlinear system (IDNS) using the stochastic artificial neural networks (ANNs) procedures …
[HTML][HTML] Supervised neural networks learning algorithm for three dimensional hybrid nanofluid flow with radiative heat and mass fluxes
Hybrid nanofluid is an emerging field due to the rapid enhancement of heat transfer and
stable nanoparticles in base fluid properties. A three dimensional hybrid nanofluid flow …
stable nanoparticles in base fluid properties. A three dimensional hybrid nanofluid flow …