| Machine-learning approaches in COVID-19 survival analysis and discharge-time likelihood prediction using clinical data M Nemati, J Ansary, N Nemati Patterns 1 (5), 2020 | 181 | 2020 |
| Sol-gel process applications: A mini-review A Dehghanghadikolaei, J Ansary, R Ghoreishi Proc. Nat. Res. Soc 2 (1), 02008-02029, 2018 | 151 | 2018 |
| Covid-19 machine learning based survival analysis and discharge time likelihood prediction using clinical data M Nemati, J Ansary, N Nemati Available at SSRN 3584518, 2020 | 15 | 2020 |
| Machine-learning approaches in COVID-19 survival analysis and discharge-time likelihood prediction using clinical Data, 2020 M Nemati, J Ansary, N Nemati | 10 | 2020 |
| Machine-learning approaches in covid-19 survival analysis and discharge-time likelihood prediction using clinical data. Patterns 1 (5): 100074 M Nemati, J Ansary, N Nemati doi. org/10.1016/j. patte r 4, 2020 | 10 | 2020 |
| Swarms of Aquatic Unmanned Surface Vehicles (USV), a Review From Simulation to Field Implementation J Ansary, J O’Donnell, N Fyza, B Trease International Design Engineering Technical Conferences and Computers and …, 2020 | 4 | 2020 |
| Experimentally Guided Neural Network and Statistical Forecasting of Membrane Water/Salt Selectivity with Minimal Mean Errors J Ansary, S Merugu, A Gupta | 1 | 2024 |
| Investigating Permselectivity in PVDF Mixed Matrix Membranes Using Experimental Optimization, Machine Learning Segmentation, and Statistical Forecasting S Merugu, LT Kearney, JK Keum, AK Naskar, J Ansary, A Herbert, M Islam, ... ACS Omega, 2024 | | 2024 |
| Developing a real time algae detection platform using deep learning J Ansary, B Trease | | 2022 |