Results 221 to 230 of about 18,335 (312)

Gradient-Driven Physics Informed Neural Networks for Conduction Heat Transfer and Incompressible Laminar Flow. [PDF]

J Comput Nonlinear Dyn
Lu T, Shahadat MRB, Liu Q, He R, Jiang X, Li Z.   +5 more
europepmc   +1 more source

Nonlinear Dirichlet problem of non-local branching processes [PDF]

Lucian Beznea, Oana Lupascu-Stamate, Alexandra Teodor   +2 more
openalex   +1 more source

A Generalization Error Bound of Physics‐Informed Neural Networks for Ecological Diffusion Models

Stat, Volume 15, Issue 1, March 2026.
ABSTRACT Ecological diffusion equations (EDEs) are partial differential equations (PDEs) that model spatiotemporal dynamics, often applied to wildlife diseases. Derived from ecological mechanisms, EDEs are useful for forecasting, inference, and decision‐making, such as guiding surveillance strategies for wildlife diseases.
Juan Francisco Mandujano Reyes, Ting Fung Ma, Ian McGahan, Daniel Walsh, Jun Zhu   +4 more
wiley   +1 more source

A Physics-Informed Deep Learning Deformable Medical Image Registration Method Based on Neural ODEs. [PDF]

Int J Comput Vis
Amiri-Hezaveh A, Tan S, Deng Q, Umulis D, Cunniff L, Weickenmeier J, Buganza Tepole A.   +6 more
europepmc   +1 more source

A cybersecurity risk analysis framework for systems with artificial intelligence components

International Transactions in Operational Research, Volume 33, Issue 2, Page 798-825, March 2026.
Abstract The introduction of the European Union Artificial Intelligence (AI) Act, the NIST AI Risk Management Framework, and related international norms and policy documents demand a better understanding and implementation of novel risk analysis issues when facing systems with AI components: dealing with new AI‐related impacts; incorporating AI‐based ...
J.M. Camacho, A. Couce‐Vieira, D. Arroyo, D.R. Insua   +3 more
wiley   +1 more source

Dynamic graph structure evolution for node classification with missing attributes. [PDF]

Sci Rep
Song X, Zhou B, Wang Y, Liu W.
europepmc   +1 more source

Dimer models and conformal structures

Communications on Pure and Applied Mathematics, Volume 79, Issue 2, Page 340-446, February 2026.
Abstract Dimer models have been the focus of intense research efforts over the last years. Our paper grew out of an effort to develop new methods to study minimizers or the asymptotic height functions of general dimer models and the geometry of their frozen boundaries.
Kari Astala, Erik Duse, István Prause, Xiao Zhong   +3 more
wiley   +1 more source

Using Latent Dirichlet Allocation Topic Modeling to Uncover Latent Research Topics and Trends in Renal Cell Carcinoma: Bibliometric Review.

JMIR Cancer
De La Hoz-M J, Montes-Escobar K, Salas-Macias CA, Fors M, Ballaz SJ.   +4 more
europepmc   +1 more source

High-Accuracy Parallel Neural Networks with Hard Constraints for a Mixed Stokes/Darcy Model. [PDF]

Entropy (Basel)
Lu Z, Zhang J, Zhu X.
europepmc   +1 more source

Locally Adaptive Non‐Hydrostatic Shallow Water Extension for Moving Bottom‐Generated Waves

International Journal for Numerical Methods in Fluids, Volume 98, Issue 2, Page 159-173, February 2026.
This study proposes a locally adaptive non‐hydrostatic model, which is based on the non‐hydrostatic extension of the shallow water equations (SWE) with a quadratic pressure relation, and applies it to wave propagation generated by a moving bottom. To obtain the locally adaptive model, we investigate several potential adaptivity criteria based on the ...
Kemal Firdaus, Jörn Behrens
wiley   +1 more source