Results 71 to 80 of about 1,606 (181)

An accurate method for solving a singular second-order fractional Emden-Fowler problem

Advances in Difference Equations, 2018
In this paper, we study a singular second-order fractional Emden-Fowler problem. The reproducing kernel Hilbert space method (RKHSM) is employed to compute an approximation to the proposed problem.
Muhammed I Syam, HM Jaradat, Marwan Alquran, Safwan Al-Shara’   +3 more
doaj   +1 more source

Shot‐Based Quantum Encoding: A Data‐Loading Paradigm for Quantum Neural Networks

Advanced Computing, Volume 1, Issue 1, December 2026.
Shot‐based quantum encoding loads classical data without any encoding gates: a learned map turns each datum into a probability vector that dictates how many measurement shots start in each basis state, preparing a mixed state that a shallow variational circuit processes as a quantum perceptron layer.
Basil Kyriacou, Viktoria Patapovich, Maniraman Periyasamy, Alexey Melnikov   +3 more
wiley   +1 more source

Bayesian optimized color filter: A fast method for segmentation of plant phenotypes from 3D point cloud images

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Multispectral three‐dimensional (3D) imaging offers substantial potential for plant phenotyping, yet manual segmentation of plant organs remains a bottleneck in breeding programs. We developed a color‐based filtering workflow for faba bean (Vicia faba L.) point clouds that optimizes lower and upper thresholds of spectral indices and broadband ...
Lennart Scheer, Benjamin Wittkop, Andreas Stahl, Olaf Sass, Gregor Welna, Hanna Tietgen, Rod J. Snowdon   +6 more
wiley   +1 more source

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

Journal 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

Frequency‐dependent contraction rates for the Bayesian method to the inverse source problem

Transactions of the London Mathematical Society, Volume 13, Issue 1, December 2026.
Abstract This paper addresses an inverse source problem for acoustic waves in a range of frequencies. Our study has two main goals. First, although the problem is severely ill‐posed with a logarithmic stability estimate, we demonstrate, through careful analysis of the forward map's singular values, that increasing the frequency range enhances stability,
Pu‐Zhao Kow, Jenn‐Nan Wang
wiley   +1 more source

Multimodality, interaction modeling, and multimodule architectures in genomic prediction: A unified conceptual framework

The Plant Genome, Volume 19, Issue 3, September 2026.
Abstract The rapid expansion of genomic, environmental, phenomic, and other high‐dimensional data sources has transformed genomic prediction in plant breeding. However, the terms multimodal, interaction modeling, and multimodule architecture are often used inconsistently, generating ambiguity regarding whether they refer to biological assumptions, data
J. Crossa, J. Sun, A. Montesinos‐López, P. Pérez‐Rodríguez, P. Vitale, S. Pérez‐Elizalde, R. Howard, O. A. Montesinos López   +7 more
wiley   +1 more source

Modified analytical approach for generalized quadratic and cubic logistic models with Caputo-Fabrizio fractional derivative

Alexandria Engineering Journal, 2020
In this paper, a modified reproducing kernel algorithm is proposed to solve a class of quadratic and cubic logistic equations with Caputo-Fabrizio fractional derivative in Hilbert space.
Nadir Djeddi, Shatha Hasan, Mohammed Al-Smadi, Shaher Momani   +3 more
doaj   +1 more source

The oscillatory response of the electroretinogram and neuronal adaptation

Acta Ophthalmologica, Volume 104, Issue 6, Page 616-637, September 2026.
Abstract After more than 50 years, there still remains a challenge and an interest to know more as well as extend and deepen our understanding of the small rapid wavelets, the oscillatory potentials (OPs), of the electroretinogram (ERG) and the neuronal adaptation of the retina.
Lillemor Wachtmeister, Anders Eklund
wiley   +1 more source

Repelled Point Processes With Application to Numerical Integration

Scandinavian Journal of Statistics, Volume 53, Issue 3, Page 1101-1133, September 2026.
ABSTRACT We look at Monte Carlo numerical integration from a stochastic geometry point of view. While crude Monte Carlo estimators relate to linear statistics of a homogeneous Poisson point process (PPP), linear statistics of more regularly spread point processes can yield unbiased estimators with faster‐decaying variance, and thus lower integration ...
Diala Hawat, Gabriel Mastrilli, Rémi Bardenet, Raphaël Lachièze‐Rey   +3 more
wiley   +1 more source

Sparse Minimum Redundancy Maximum Relevance for Feature Selection

Scandinavian Journal of Statistics, Volume 53, Issue 3, Page 1134-1151, September 2026.
ABSTRACT We propose a feature screening method that integrates both feature–feature and feature–target relationships. Inactive features are identified via a penalized minimum Redundancy Maximum Relevance (mRMR) procedure, which is the continuous version of the classical mRMR penalized by a non‐convex regularizer, and where the parameters estimated as ...
Peter Naylor, Benjamin Poignard, Héctor Climente‐González, Makoto Yamada   +3 more
wiley   +1 more source