The emergence of the COVID-19 outbreak has caused a pandemic situation in over 210 countries. Controlling spread this disease proven difficult despite several resources employed. Millions hospitalizations and deaths have been observed, with thousands cases occurring daily many measures place. Due to complex nature COVID-19, we proposed system time-fractional equations better understand transmis...

There are still mathematical predictions in the fight against epidemics. Speedy expansion, ways and procedures for pandemic control require early understanding when solutions with better computer-based modeling prognosis developed. Despite high uncertainty each of these models, one important tools public health management system is epidemiology models. The fractional order shown to be more effe...

The current investigations provide the solutions of nonlinear fractional order mathematical rape and its control model using strength artificial neural networks (ANNs) along with Levenberg-Marquardt backpropagation approach (LMBA), i.e., networks-Levenberg-Marquardt (ANNs-LMBA). have been presented to find more realistic results form model. differential has six classes: susceptible native girls...

Abstract The numerical and computation aspects of the Knife-edge Equivalent Contact ( KEC ) constraint lookup table LUT methods are compared in this paper. method implementation uses a penetration-based elastic contact model for flange constraint-based formulation at wheel tread. For method, where an infinitely narrow rail contacts equivalent wheel, regularization tread-flange transition is ado...

Abstract Exploration and exploitation of intelligent computing infrastructures are becoming great interest for the research community to investigate different fields science engineering offering new improved versions problem-solving soft computing-based methodologies. The current investigation presents a novel artificial neural network-based solution methodology presented problem addressing pro...