Results 201 to 210 of about 246,310 (302)

Semiclassical inequalities for Dirichlet and Neumann Laplacians on convex domains

open access: yesCommunications on Pure and Applied Mathematics, Volume 79, Issue 3, Page 762-822, March 2026.
Abstract We are interested in inequalities that bound the Riesz means of the eigenvalues of the Dirichlet and Neumann Laplacians in terms of their semiclassical counterpart. We show that the classical inequalities of Berezin–Li–Yau and Kröger, valid for Riesz exponents γ≥1$\gamma \ge 1$, extend to certain values γ<1$\gamma <1$, provided the underlying ...
Rupert L. Frank, Simon Larson
wiley   +1 more source

Laplacian filter attention with style transfer GAN for brain tumor MRI imputation. [PDF]

open access: yesSci Rep
Na Y   +7 more
europepmc   +1 more source

Mechanical Behavior and Damage Evolution in Additively Manufactured Spinodoids

open access: yesPAMM, Volume 26, Issue 1, March 2026.
ABSTRACT This research focuses on the mechanical behavior and damage evolution of additively manufactured spinodoid metamaterials under quasi‐static loading. Additive manufacturing (AM), especially laser powder bed fusion (LPBF), enables the fabrication of complex geometries from digital models and is particularly suited for architected materials like ...
Vishal Sreenivasa, Michael Kaliske
wiley   +1 more source

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

open access: yesStat, 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   +4 more
wiley   +1 more source

Longitudinal Alzheimer’s Disease Progression Modelling via Hybrid Vision Transformers and Recurrent Neural Networks With Cross‐Modal Feature Fusion

open access: yesExpert Systems, Volume 43, Issue 3, March 2026.
ABSTRACT Modelling the evolution of Alzheimer's disease (AD) requires a thorough spatiotemporal study of longitudinal neuroimaging data. We propose in this paper a novel deep learning framework that uses a parallel combination of Recurrent Neural Networks (RNNs) and Vision Transformers (ViT) to extract temporal disease dynamics and spatial structural ...
Sahbi Bahroun, Gwanggil Jeon
wiley   +1 more source

Diagnosis based image quality assessment and enhancement for low dose CT image. [PDF]

open access: yesFront Radiol
Nirupama B   +4 more
europepmc   +1 more source

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