Results 31 to 40 of about 25,818 (165)

Nyström-based spectral clustering using airborne LiDAR point cloud data for individual tree segmentation

open access: yesInternational Journal of Digital Earth, 2021
The spectral clustering method has notable advantages in segmentation. But the high computational complexity and time consuming limit its application in large-scale and dense airborne Light Detection and Ranging (LiDAR) point cloud data.
Yong Pang   +6 more
doaj   +1 more source

Numerical Solution for Hybrid Fuzzy Differential Equation by Fifth Order Runge-Kutta Nystrom Method

open access: yesJournal of Mathematical Sciences and Modelling, 2019
This  study  discusses a numerical methods for hybrid fuzzy differential equations by fifth order RK Nystrom Method for fuzzy differential equations. We prove the convergence result and give numerical examples to illustrate the theory.
Jayakumar Thippan   +1 more
doaj   +1 more source

Neighborhood preserving sparse representation based on Nyström method for image set classification on symmetric positive definite matrices

open access: yesJournal of Algorithms & Computational Technology, 2019
In the field of pattern recognition, using the symmetric positive-definite matrices to represent image set has been widely studied, and sparse representation-based classification algorithm on the symmetric positive-definite matrix manifold has attracted ...
Chu Li, Xiao-Jun Wu
doaj   +1 more source

Structure-preserving stochastic Runge–Kutta–Nyström methods for nonlinear second-order stochastic differential equations with multiplicative noise

open access: yesAdvances in Difference Equations, 2019
A class of stochastic Runge–Kutta–Nyström (SRKN) methods for the strong approximation of second-order stochastic differential equations (SDEs) are proposed. The conditions for strong convergence global order 1.0 are given. The symplectic conditions for a
Qiang Ma   +4 more
doaj   +1 more source

Superconvergent Nyström Method Based on Spline Quasi-Interpolants for Nonlinear Urysohn Integral Equations

open access: yesMathematics, 2023
Integral equations play an important role for their applications in practical engineering and applied science, and nonlinear Urysohn integral equations can be applied when solving many problems in physics, potential theory and electrostatics, engineering,
Sara Remogna   +2 more
doaj   +1 more source

Efficient Preference Clustering via Random Fourier Features

open access: yesBig Data Mining and Analytics, 2019
Approximations based on random Fourier features have recently emerged as an efficient and elegant method for designing large-scale machine learning tasks.
Jingshu Liu, Li Wang, Jinglei Liu
doaj   +1 more source

Boundary integral solution of potential problems arising in the modelling of electrified oil films [PDF]

open access: yes
We consider a class of potential problems on a periodic half-space for the modeling of electrified oil films, which are used in the development of novel switchable liquid optical devices (diffraction gratings).
Chappell, DJ
core   +1 more source

3D Printing of Highly Electrically Conductive Zinc for Sustainable Electronics Applications

open access: yesAdvanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
A 3D printable zinc ink system with active zinc particles in a shellac matrix is demonstrated. The results show high conductivity, stable performance of printed structures under varying humidity conditions, and promising application in disposable water‐activated batteries. This technology combining digital material assembly, reliable operation, and non‐
Xavier Aeby   +5 more
wiley   +1 more source

A Numerical Study for the Dirichlet Problem of the Helmholtz Equation

open access: yesMathematics, 2021
In this paper, an effective numerical method for the Dirichlet problem connected with the Helmholtz equation is proposed. We choose a single-layer potential approach to obtain the boundary integral equation with the density function, and then we deal ...
Yao Sun, Shijie Hao
doaj   +1 more source

Expert‐led priorities for a response diversity research agenda in ecology

open access: yesOikos, EarlyView.
Response diversity describes variation in ecological responses to environmental change. Response diversity is expected to drive ecological stability since a wider variety of responses to one or more environmental factors should stabilise fluctuations of ecosystem functions. However, uptake of empirical response diversity research has been slow. Here we
Samuel R. P.‐J. Ross   +7 more
wiley   +1 more source

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