Results 51 to 60 of about 541 (183)

Comparative Evaluation of Large Amplitude Oscillatory Shear (LAOS) Analysis Methods for Detecting Surfactant‐Induced Structural Evolution in Xanthan Gum Solutions

open access: yesJournal of Polymer Science, EarlyView.
A comparative large‐amplitude oscillatory shear analysis reveals how cationic surfactants progressively weaken xanthan gum networks. While conventional rheology identifies network softening, advanced LAOS methods uncover nonlinear deformation mechanisms and transient structural evolution that remain hidden in cycle‐averaged measurements.
Osita Sunday Nnyigide   +2 more
wiley   +1 more source

On the (p, q)–Chebyshev Polynomials and Related Polynomials

open access: yesMathematics, 2019
In this paper, we introduce ( p , q ) ⁻Chebyshev polynomials of the first and second kind that reduces the ( p , q ) ⁻Fibonacci and the ( p , q ) ⁻Lucas polynomials.
Can Kızılateş   +2 more
doaj   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma   +4 more
wiley   +1 more source

Chebyshev Interpolation Using Almost Equally Spaced Points and Applications in Emission Tomography

open access: yesMathematics, 2023
Since their introduction, Chebyshev polynomials of the first kind have been extensively investigated, especially in the context of approximation and interpolation.
Vangelis Marinakis   +3 more
doaj   +1 more source

ANPGT: Towards Adaptive Node Property Extraction and Integration

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Graph transformers (GTs) with elaborate positional/structural encodings (PEs/SEs) have excelled in graph representation learning, especially in graph‐level tasks. However, their potential in large‐scale node classification remains untapped for several reasons: (i) Current PEs/SEs are insufficient in modelling large‐scale real‐world graphs ...
Qin Chen   +4 more
wiley   +1 more source

Determinants of Tridiagonal and Circulant Matrices Special Form by Chebyshev Polynomials

open access: yesJTAM (Jurnal Teori dan Aplikasi Matematika)
Along with the development of science, many researchers have found new methods to determine the determinant of a matrix of more than three orders.
Nurliantika Nurliantika   +2 more
doaj   +1 more source

Parallel Vectors Extraction using Bézier Clipping

open access: yesComputer Graphics Forum, EarlyView.
Abstract In this paper, we propose a novel local feature extraction algorithm for the parallel vectors (PV) operator. Our method is based on Bézier clipping, which is a bracketing‐based root finding method that is commonly‐used in computer‐aided geometric design.
Nico Daßler, Tobias Günther
wiley   +1 more source

Two modified shifted Chebyshev–Galerkin operational matrix methods for even-order partial boundary value problems

open access: yesBoundary Value Problems
This paper presents two operational matrices. The first one represents integer-order derivatives of the modified shifted Chebyshev polynomials of the second kind.
M. Abdelhakem   +3 more
doaj   +1 more source

On the Collocation Method in Constructing a Solution to the Bending Equation for a Long Rectangular Nanoplate

open access: yesИзвестия Иркутского государственного университета: Серия "Математика"
Within the framework of the theory of microstructural deformation, a new approach is proposed for constructing a solution to the bending equation of a long rectangular nanoplate that is under the influence of a transverse load.
O.V. Germider, V. N. Popov
doaj   +1 more source

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

open access: yesInternational Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri   +3 more
wiley   +1 more source

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