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pro vyhledávání: '"Kohandel, Mohammad"'
Physics-informed neural networks (PINNs) are an influential method of solving differential equations and estimating their parameters given data. However, since they make use of neural networks, they provide only a point estimate of differential equat
Externí odkaz:
http://arxiv.org/abs/2405.08111
Quantitative systems pharmacology (QSP) is widely used to assess drug effects and toxicity before the drug goes to clinical trial. However, significant manual distillation of the literature is needed in order to construct a QSP model. Parameters may
Externí odkaz:
http://arxiv.org/abs/2404.08019
Diffusion models have emerged as a promising class of generative models that map noisy inputs to realistic images. More recently, they have been employed to generate solutions to partial differential equations (PDEs). However, they still struggle wit
Externí odkaz:
http://arxiv.org/abs/2402.08563
Given ample experimental data from a system governed by differential equations, it is possible to use deep learning techniques to construct the underlying differential operators. In this work we perform symbolic discovery of differential operators in
Externí odkaz:
http://arxiv.org/abs/2212.04630
Publikováno v:
Scientific Reports. 8/29/2024, Vol. 14 Issue 1, p1-20. 20p.
The development of highly sensitive and rapid biosensing tools targeted to the highly contagious virus SARS-CoV-2 is critical to tackling the COVID-19 pandemic. Quantum sensors can play an important role, thanks to their superior sensitivity and fast
Externí odkaz:
http://arxiv.org/abs/2111.05472
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Publikováno v:
In Bioprinting December 2022 28
Publikováno v:
NPJ Systems Biology & Applications; 11/20/2024, Vol. 10 Issue 1, p1-15, 15p
Publikováno v:
Mathematical Biosciences & Engineering; 2024, Vol. 21 Issue 10, p7337-7372, 36p