| Data-Driven Deep-Learning Algorithm for Asymptomatic COVID-19 Model with Varying Mitigation Measures and Transmission Rate KD Olumoyin, AQM Khaliq, KM Furati Epidemiologia 2 (4), 471-489, 2021 | 19 | 2021 |
| LinG3D: visualizing the spatio-temporal dynamics of clonal evolution A Hu, AME Ojwang’, KD Olumoyin, KA Rejniak BMC bioinformatics 25 (1), 201, 2024 | | 2024 |
| Visualizing the Spatio-Temporal Dynamics of Clonal Evolution with LinG3D software A Hu, AME Ojwang, KD Olumoyin, KA Rejniak bioRxiv, 2024 | | 2024 |
| Abstract A020: An early determination of patients eligibility for a bladder cancer immunotherapy using a data science approach KD Olumoyin, AM Aydin, BL Bunch, S Pilon-Thomas, M Poch, KA Rejniak In Proceedings of AACR Special Conference in Cancer Research: Translating …, 2024 | | 2024 |
| Multi-variant COVID- 19 model with heterogeneous transmission rates using deep neural networks. KD Olumoyin, AQM Khaliq, KM Furati https://doi.org/10.48550/arXiv.2205.06834, 2022 | | 2022 |
| Learning differential equations from data KD Olumoyin https://doi.org/10.48550/arXiv.2205.11483, 2022 | | 2022 |
| Data-driven deep Neural Networks for epidemiological and biochemical models KD Olumoyin Middle Tennessee State University, 2022 | | 2022 |
| Data-driven deep learning algorithms for time-varying infection rates of COVID-19 and mitigation measures KD Olumoyin, AQM Khaliq, KM Furati arXiv preprint arXiv:2104.02603, 2021 | | 2021 |
| Solutions of Dynamic Equations on Time Scales with Jumps KD Olumoyin | | 2013 |
A Q M KhaliqProfessor of Mathematics, Middle Tennessee State University在 mtsu.edu 的电子邮件经过验证
