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Physics informed neural networks for fluid flow analysis with repetitive parameter initialization. [PDF]
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Error estimates and physics informed augmentation of neural networks for thermally coupled incompressible Navier Stokes equations. [PDF]
Comput Mech, 2023 Goraya S, Sobh N, Masud A.
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Dynamics and forecasting of an age-structured stochastic SIR model with Lévy perturbations via physics-informed neural networks. [PDF]
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Using the stochastic collocation method for the uncertainty quantification of drug concentration due to depot shape variability. [PDF]
IEEE Trans Biomed Eng, 2009 Preston JS +4 more
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A novel adaptive multi-scale wavelet Galerkin method for solving fuzzy hybrid differential equations. [PDF]
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Implementing physics-informed neural networks with deep learning for differential equations. [PDF]
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An effective hybrid method for the optimal control of fraud rumor propagation on online social networks. [PDF]
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Identification of stochastic optical solitons in a generalized NLSE characterized by fourth order dispersion and weak nonlocality. [PDF]
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A novel hybrid framework for efficient higher order ODE solvers using neural networks and block methods. [PDF]
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