Results 201 to 210 of about 2,222 (257)
Selection of Fitness Criteria for Learning Interpretable PDE Solutions via Symbolic Regression. [PDF]
Cohen BG, Beykal B, Bollas GM.
europepmc +1 more source
ABSTRACT This study introduces the inductive differential constraint method (IDCM), a data‐informed structural regularization framework that enhances neural network predictions under data‐scarce regimes by enforcing invariant differential structures extracted from simulation data.
Rekisei Ozawa, Yoshitaka Wada
wiley +1 more source
Bifurcation analysis and exploration of new optical soliton solutions in parabolic law medium with weak non-local nonlinearity. [PDF]
Ali KK +5 more
europepmc +1 more source
ABSTRACT Oxygen supply is a critical parameter in 3D cell cultivation using bioreactors. Since bioreactor designs often prioritise practical constraints, understanding the oxygen supply dynamics of the media is crucial for achieving either uniform or spatially controlled oxygen delivery.
Franziska Alt +4 more
wiley +1 more source
Partial differential equations in data science. [PDF]
Bertozzi AL +3 more
europepmc +1 more source
Mechanically induced cell motility is simulated using strain energy density gradients in a planar elastic substrate generated by cellular traction forces. Green's function and Duhamel's principle are used to solve a diffusion equation describing the distribution of a growth factor and representing chemo‐mechanically induced deterministic collective ...
Riham K. Ahmed +4 more
wiley +1 more source
Implementing physics-informed neural networks with deep learning for differential equations. [PDF]
Emmert-Streib F +3 more
europepmc +1 more source
Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley +1 more source
Random Neural Networks for Rough Volatility. [PDF]
Jacquier A, Žurič Ž.
europepmc +1 more source
This graphical abstract presents a lightweight and automated BiLSTM‐based Multi‐Cycle GAN framework for retinal blood vessel and optic disc segmentation in fundus images. Initially, fundus images undergo preprocessing, including green channel extraction, denoising, resizing, and dataset splitting.
Rasmita Kumari Mohanty +7 more
wiley +1 more source

