Results 61 to 70 of about 21,325 (267)

Comparative Analysis of Wavelet Bases for Solving First-Kind Fredholm Integral Equations

open access: yesComputation
This research presents a comparative analysis of numerical methods for solving first-kind Fredholm integral equations using the Bubnov–Galerkin method with various wavelet and orthogonal polynomial bases.
Nurlan Temirbekov   +3 more
doaj   +1 more source

Optimal and Quasioptimal Algorithms of Distinction of the Compressed Images in Bases of Orthogonal Polynomials

open access: yesCommunications, 2012
The synthesis and analysis of effective practically realized algorithms of distinction of signals and images represented in bases of orthogonal polynomials was executed.
Oleg Vyacheslavovich Chernoyarov   +1 more
doaj   +1 more source

Neurologic Manifestations of Long COVID Affect Adult Females More Severely Than Males

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterize differences in neurologic manifestations of postacute sequelae of SARS‐CoV‐2 infection (Neuro‐PASC) between females and males. Methods Cross‐sectional study of the first consecutive 261 posthospitalization Neuro‐PASC (PNP) and 2068 nonhospitalized Neuro‐PASC (NNP) patients evaluated at the Neuro‐COVID clinic between ...
Hannah Kopinsky   +5 more
wiley   +1 more source

ESTIMATION BY THE PICK FACTOR OF BROADBAND SIGNALS IN THE BASIS OF THE FUNNY LEGGER

open access: yesSučasnì Informacìjnì Tehnologìï u Sferì Bezpeki ta Oboroni, 2018
Recently, in a number of works devoted to the synthesis and processing of complex signals, along with the trigonometric basis, other orthogonal bases are also used.
Nikolai B. Nikulin, Igor V. Romashko
doaj  

A Dynamic BI–Orthogonal Field Equation Approach to Efficient Bayesian Inversion

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2017
This paper proposes a novel computationally efficient stochastic spectral projection based approach to Bayesian inversion of a computer simulator with high dimensional parametric and model structure uncertainty.
Tagade Piyush M., Choi Han-Lim
doaj   +1 more source

Juvenile Huntington Disease With Cerebellar‐Predominant Atrophy Identified by Genome Sequencing

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Juvenile Huntington disease accounts for a small fraction of Huntington disease cases and is driven by the largest trinucleotide repeat expansions. We describe a 6‐year‐old boy with progressive global regression, generalized dystonia, and epilepsy, in whom serial imaging showed striking cerebellar‐predominant atrophy with an initially normal ...
Enrique Gonzalez Saez‐Diez   +5 more
wiley   +1 more source

Unsupervised Machine Learning Identifies Shared Biomechanical and Clinical Variation in Individuals with Knee Osteoarthritis and High BMI: A Secondary Analysis of the IDEA Trial

open access: yesArthritis Care &Research, Accepted Article.
Objective High body mass index (BMI≥27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck   +10 more
wiley   +1 more source

Face Recognition and Gender Classification Using Orthogonal Nearest Neighbour Feature Line Embedding

open access: yesInternational Journal of Advanced Robotic Systems, 2012
In this paper, a novel manifold learning algorithm for face recognition and gender classification – orthogonal nearest neighbour feature line embedding (ONNFLE) – is proposed.
Gang-Feng Ho   +3 more
doaj   +1 more source

Sums of A Pair of Orthogonal Frames

open access: yesMathematics, 2019
Frames are more stable as compared to bases under the action of a bounded linear operator. Sums of different frames under the action of a bounded linear operator are studied with the help of analysis, synthesis and frame operators.
Ghanshyam Bhatt
doaj   +1 more source

Flexural Behavior of 3D‐Printed Porous Bouligand‐Structured Polymers: Influence of Pitch Angle and Porosity

open access: yesAdvanced Engineering Materials, EarlyView.
This study examines how helicoidal architectures with different porosities respond to bending. Adjusting layer angle and spacing in 3D‐printed polymers reveals clear tradeoffs between stiffness, strength, and energy absorption. Experiments and simulations highlight designs that distribute stress effectively, offering pathways for optimizing lightweight
Praveenkumar Subhash Patil   +2 more
wiley   +1 more source

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