The Evolution of Systems Biology and Systems Medicine: From Mechanistic Models to Uncertainty Quantification. [PDF]
Qiao L +3 more
europepmc +1 more source
Intelligent predictive neural network analysis of stefan blowing impacts on chemical reactive flow of Boger nanofluid with thermophoresis and brownian motion. [PDF]
Shaaban SM +6 more
europepmc +1 more source
A model-based design strategy to engineer miRNA-regulated detection systems. [PDF]
Verkuijlen RJ, Smith RW.
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InVAErt networks for amortized inference and identifiability analysis of lumped-parameter haemodynamic models. [PDF]
Tong GG, Sing-Long CA, Schiavazzi DE.
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A deep neural network model for heat transfer in darcy-forchheimer hybrid nanofluid flow with activation energy. [PDF]
Ayman-Mursaleen M +4 more
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CMINNs: Compartment model informed neural networks - Unlocking drug dynamics. [PDF]
Ahmadi Daryakenari N +2 more
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Numerical Integration of Stochastic Differential Equations: The Heun Algorithm Revisited and the Itô-Stratonovich Calculus. [PDF]
Mannella R.
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Adapting physics-informed neural networks to improve ODE optimization in mosquito population dynamics. [PDF]
Viet Cuong D +4 more
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Multirate Time Stepping for Stiff ODEs [PDF]
Multirate time stepping is a numerical technique for efficiently solving large-scale ordinary differential equations (ODEs) with widely different time scales localized over the components. This technique enables one to use large time steps for slowly time-varying components, and small steps for rapidly varying ones.
Valeriu Savcenco +3 more
core +5 more sources

