2 citations · 2 across the 1 of their papers we have counts for
2 papers
math.DS2021★ 2 cited
Identification and prediction of time-varying parameters of COVID-19 model: a data-driven deep learning approach
Jie Long, Abdul Khaliq, Khaled Furati
Data-driven deep learning provides efficient algorithms for parameter identification of epidemiology models. Unlike the constant parameters, the complexity of identifying time-vary…
q-bio.PE2020
A fractional-order compartmental model for predicting the spread of the Covid-19 pandemic
Toheeb A. Biala, Abdul Q. Khaliq
We propose a time-fractional compartmental model (SEIIHRD) comprising of the susceptible, exposed, infected (asymptomatic and symptomatic), hospitalized, recovered and dead…