Results 141 to 150 of about 2,157,914 (307)

Multilayer Hadamard Decomposition of Discrete Hartley Transforms [PDF]

, 2000
H. M. de Oliveira, Renato J. Cintra, Ricardo M. Campello de Souza   +2 more
openalex   +1 more source

Approximation of Finite Hilbert and Hadamard Transforms by Using Equally Spaced Nodes [PDF]

, 2020
Frank Filbir, Donatella Occorsio, Woula Themistoclakis   +2 more
openalex   +1 more source

Comonotonic‐Based Time Series Clustering With Constraints: A Review and a Conceptual Framework

Environmetrics, Volume 36, Issue 8, December 2025.
ABSTRACT Time series clustering is a widely used unsupervised learning approach that identifies groups of similar time series to uncover hidden patterns in complex datasets. In recent years, this technique has gained traction in the analysis of geo‐referenced time series, where spatial information must be incorporated into the dissimilarity measure to ...
Alessia Benevento, Fabrizio Durante, Roberta Pappadà   +2 more
wiley   +1 more source

The Robin problems for the coupled system of reaction–diffusion equations

Boundary Value Problems
This article investigates the local well-posedness of Turing-type reaction–diffusion equations with Robin boundary conditions in the Sobolev space. Utilizing the Hadamard norm, we derive estimates for Fokas unified transform solutions for linear initial ...
Po-Chun Huang, Bo-Yu Pan
doaj   +1 more source

Compactly‐Supported Nonstationary Kernels for Computing Exact Gaussian Processes on Big Data

Environmetrics, Volume 36, Issue 8, December 2025.
ABSTRACT The Gaussian process (GP) is a widely used method for analyzing large‐scale data sets, including spatio‐temporal measurements of nonlinear processes that are now commonplace in the environmental sciences. Traditional implementations of GPs involve stationary kernels (also termed covariance functions) that limit their flexibility, and exact ...
Mark D. Risser, Marcus M. Noack, Hengrui Luo, Ronald J. Pandolfi   +3 more
wiley   +1 more source

Multidimensional signal processing using quaternion complex Hadamard transform in sequency domain [PDF]

, 2018
Dure Jabeen, T. Iqrar, M. Faisal Khan
openalex   +1 more source

Machine learning‐enabled prediction of oxide glasses’ dielectric constants via augmented data and physicochemical descriptors

Materials Genome Engineering Advances, Volume 3, Issue 4, December 2025.
Data augmentation and physicochemical descriptors achieve precise dielectric constant prediction in oxide glasses, reducing error by 72%. Structural descriptors (69.9% importance) establish glass network engineering as the key optimization pathway, validated in novel Y2O3/La2O3 glasses.
Zeyu Kang, Yi Cao, Lu Liu, Wenkai Gao, Jianhao Fu, Junfeng Kang, Yunlong Yue   +6 more
wiley   +1 more source

Statistical Complexity of Quantum Learning

Advanced Quantum Technologies, Volume 8, Issue 12, December 2025.
The statistical performance of quantum learning is investigated as a function of the number of training data N$N$, and of the number of copies available for each quantum state in the training and testing data sets, respectively S$S$ and V$V$. Indeed, the biggest difference in quantum learning comes from the destructive nature of quantum measurements ...
Leonardo Banchi, Jason Luke Pereira, Sharu Theresa Jose, Osvaldo Simeone   +3 more
wiley   +1 more source

The geodesic ray transform on two-dimensional Cartan-Hadamard manifolds [PDF]

, 2016
Jere Lehtonen
openalex   +1 more source

Texture Segmentation Using Gabor Filter And hadamard Transform With Small Space Analysis, Texture Frequency, Non-Linear Filtering, And Postprocessing [PDF]

, 2023
Kaaviya, Ponharieesh Krishnakumar, Rajakumaran Jayaraman, Sakthi Dinesh Pounraj   +3 more
openalex   +1 more source