Results 221 to 230 of about 27,633 (264)

Rethinking Collinearity in Self‐Organizing Maps: Evidence From Geophysical Data Classification

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract This study examines the impact of collinearity on unsupervised machine learning algorithms (UMLAs), specifically Self‐Organizing Maps (SOMs), for detecting lithological boundaries in geophysical data. Using a multi‐scale experimental framework that includes bivariate isotropic clusters, geologically complex Noddy simulations, and real‐world ...
Limin Xu   +2 more
wiley   +1 more source

Impact of Clear Aligners on the Temporomandibular Joint: A Systematic Review

open access: yesOrthodontics &Craniofacial Research, Volume 29, Issue 2, Page 209-224, April 2026.
ABSTRACT The temporomandibular joint (TMJ) may experience alterations during orthodontic treatments. Furthermore, gaps in the literature highlight a lack of robust evidence on the impact of clear aligner therapy (CAT) on the TMJ. This review aims to find the current evidence regarding the effects of CAT on the TMJ. Electronic searches were conducted in
Lucca Sicilia   +4 more
wiley   +1 more source

Machine Learning Classification of AI‐Generated and Human‐Mapped Buildings in OpenStreetMap Using Morphometric Analysis

open access: yesTransactions in GIS, Volume 30, Issue 2, April 2026.
ABSTRACT The proliferation of AI‐generated building footprints in OpenStreetMap (OSM) has transformed crowdsourced mapping, yet the geometric characteristics associated with different digitization methods remain poorly understood. This study presents a comprehensive morphometric analysis of more than 9 million building footprints across 15 ...
Abdulkadir Memduhoğlu
wiley   +1 more source

Holistic Retrieval of Absolute Coseismic Displacement Fields From Single Interferograms via Physics‐Aware GANs

open access: yesGeophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
Abstract The efficacy of rapid seismic response is fundamentally constrained by the sequential, multi‐step nature of conventional InSAR processing, where error propagation and reliance on auxiliary data hinder automation. Here, we present a holistic framework using Physics‐Aware Generative Adversarial Networks (GANs) to directly retrieve absolute ...
Chuanhua Zhu   +3 more
wiley   +1 more source

Dynamical systems and fractal geometry applied to cardiac dynamics analysis in the Peruvian population. [PDF]

open access: yesFront Cardiovasc Med
Correa SC   +12 more
europepmc   +1 more source

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