Results 161 to 170 of about 3,220 (254)

Intrinsic Shape LDA With Application to Body Human Shapes Classification

open access: yesStatistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 4, August 2026.
ABSTRACT Advancements in 3D scanning and cloud infrastructure enable the acquisition and analysis of high‐density body surface datasets. In this work, we propose a novel methodology that extends linear discriminant analysis (LDA) to Kendall's shape space for the classification of 3D objects, specifically human body shapes.
Jorge Valero   +3 more
wiley   +1 more source

Cloud‐Plots for Spherical Data With Applications to Glaucoma and Gait Cyclograms

open access: yesStatistics in Medicine, Volume 45, Issue 18-19, August 2026.
ABSTRACT In several biomedical contexts, the need for diagnostic analyses of data that is a set of directions in 2, 3, or higher dimensions arises, as for instance, when considering the relative movement of body parts like the limbs, or looking at anatomical orientations.
S. Rao Jammalamadaka, Ali H. Abuzaid
wiley   +1 more source

Jacobi vector fields along geodesics in glued Riemannian manifolds

open access: yesJacobi vector fields along geodesics in glued Riemannian manifolds
Let M_α, α∈∧, be complete connected Riemannian manifolds which are glued at their boundary. We call such a manifold M=U_M_α a glued Rie-mannian manifold. Geodesics in a glued Riemannian manifold M are by definition locally minimizing curves in M. The variation vector fields through geodesics satisfy the Jacobi equation in each component manifold.
openaire  

Generative Design of Energy‐Absorbing Auxetic Metamaterials via Variational‐Autoencoder Latent‐Space Exploration and Nonlinear Finite‐Element Screening

open access: yesZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Volume 106, Issue 8, August 2026.
ABSTRACT Auxetic cellular structures, which exhibit a negative Poisson's ratio, are conventionally designed manually, one topology at a time. This paper presents a generative design framework in which a convolutional variational autoencoder (VAE) with a low computational cost, trained on 31,920 solid isotropic material with penalisation (SIMP ...
Nguyen Dinh Khoa   +3 more
wiley   +1 more source

The Vlasov bivector: a parameter-free approach to Vlasov kinematics. [PDF]

open access: yesEur Phys J Plus
Gunneberg F, Gratus J, Stanfield H.
europepmc   +1 more source

Gradient‐Free Online Learning of Subgrid‐Scale Dynamics With Neural Emulators

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract In this paper, we propose a generic algorithm to train machine learning‐based subgrid parametrizations online, that is, with a posteriori loss functions, but for non‐differentiable numerical solvers. The proposed approach leverages a neural emulator to approximate the reduced state‐space solver, which is then used to allow gradient propagation
H. Frezat   +3 more
wiley   +1 more source

Can a Persistence‐Based Prediction of GRACE Gravity Field Coefficients Reduce Uncertainties at Finer Temporal Scales?

open access: yesEarth and Space Science, Volume 13, Issue 8, August 2026.
Abstract Enhancing the applicability of Gravity Recovery and Climate Experiment (GRACE) products poses challenges due to the trade‐off between the temporal and the spatial resolution within limits posed by the mission design. If a Kalman filter framework was adopted to characterize the relationship between monthly and finer temporal scales, it could ...
D. Kankanige   +3 more
wiley   +1 more source

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