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Jamal Ansary
Jamal Ansary
Verified email at rockets.utoledo.edu - Homepage
Title
Cited by
Cited by
Year
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
1692020
Sol-gel process applications: A mini-review
A Dehghanghadikolaei, J Ansary, R Ghoreishi
Proc. Nat. Res. Soc 2 (1), 02008-02029, 2018
1222018
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
132020
Machine-learning approaches in COVID-19 survival analysis and discharge-time likelihood prediction using clinical Data, 2020
M Nemati, J Ansary, N Nemati
82020
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
72020
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
22020
Developing a real time algae detection platform using deep learning
J Ansary, B Trease
2022
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