24 citations · 24 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Learning differential equations from data
K. D. Olumoyin
Differential equations are used to model problems that originate in disciplines such as physics, biology, chemistry, and engineering. In recent times, due to the abundance of data,…
q-bio.PE2022
Multi-variant COVID-19 model with heterogeneous transmission rates using deep neural networks
K. D. Olumoyin, A. Q. M. Khaliq, K. M. Furati
Mutating variants of COVID-19 have been reported across many US states since 2021. In the fight against COVID-19, it has become imperative to study the heterogeneity in the time-va…
q-bio.PE2021★ 24 cited
Data-driven deep learning algorithms for time-varying infection rates of COVID-19 and mitigation measures
K. D. Olumoyin, A. Q. M. Khaliq, K. M. Furati
Epidemiological models with constant parameters may not capture satisfactory infection patterns in the presence of pharmaceutical and non-pharmaceutical mitigation measures during…