Results 161 to 170 of about 25,672 (245)

Unconditional stability of a recurrent neural circuit implementing divisive normalization. [PDF]

Adv Neural Inf Process Syst
Rawat S, Heeger DJ, Martiniani S.
europepmc   +1 more source

conditions for Turing and wave instabilities in reaction-diffusion systems. [PDF]

J Math Biol, 2023
Villar-Sepúlveda E, Champneys AR.
europepmc   +1 more source

Input Layer Regularization and Automated Regularization Hyperparameter Tuning for Myelin Water Estimation Using Deep Learning

NMR in Biomedicine, Volume 39, Issue 6, June 2026.
We propose a novel deep learning algorithm for predicting the myelin water fraction from multiple gradient‐echo or spin‐echo pulse sequences arising in magnetic resonance relaxometry (MRR) measurements of the human brain. Our method incorporates both regularized nonlinear least squares and pure deep learning through a concatenation paradigm known as ...
Mirage Modi, Shashank Sule, Jonathan Palumbo, Michael Rozowski, Griffin S. Hampton, Mustapha Bouhrara, Wojciech Czaja, Richard G. Spencer   +7 more
wiley   +1 more source

Double Hopf bifurcation and chaotic dynamics in a periodically-forced SIR model. [PDF]

Sci Rep
de Carvalho JPSM.
europepmc   +1 more source

On the Jacobian conjecture

Illinois Journal of Mathematics, 1981
openaire   +3 more sources

Nonlinear Model Order Reduction on Polynomial Manifolds for Computational Homogenisation Problems

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Model order reduction (MOR) techniques utilising nonlinear approximation spaces can search for solutions to computational homogenisation problems on low‐dimensional approximation spaces. In combination with hyperreduction techniques, this allows for computations on representative volume elements (RVEs) to be accelerated by multiple orders of ...
Erik Faust, Lisa Scheunemann
wiley   +1 more source

Algebraic properties of the maps χ n. [PDF]

Des Codes Cryptogr
Schoone J, Daemen J.
europepmc   +1 more source

On Challenges Using Long Short‐Term Memory Networks in Data‐Driven Inelasticity

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT We present a framework that integrates long short‐term memory (LSTM) networks into a two‐dimensional data‐driven mechanics solver. We show that the staggered, double‐minimization algorithm induces solver‐generated noise, and that an LSTM trained on noise‐free stress–strain paths fails to account for these solver artifacts.
Marius Harnisch, Thorsten Bartel, Andreas Menzel, Ben Schweizer   +3 more
wiley   +1 more source

Simultaneous Inversion for Underactuated Mechanical Systems with Servo‐Constraints

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT The dynamic inversion of underactuated mechanical systems can be formulated in the servo‐constraint framework using a set of differential‐algebraic equations (DAEs). In case of a high differentiation index, the inversion‐based feedforward control design poses significant challenges.
Tengman Wang
wiley   +1 more source

Advancing Mathematical Epidemiology and Chemical Reaction Network Theory via Synergies Between Them. [PDF]

Entropy (Basel)
Avram F, Adenane R, Neagu M.
europepmc   +1 more source