Results 61 to 70 of about 4,861 (197)
IEEE Access, 2021 Brain tumors are a serious and death-defying disease for human life. Discovering an appropriate brain tumor image from a magnetic resonance imaging (MRI) archive is a challenging job for the radiologist.
K. Venkatachalam +4 more
doaj +1 more source
Sparse graph signals – uncertainty principles and recovery
GAMM-Mitteilungen, Volume 48, Issue 2, June 2025.ABSTRACT We study signals that are sparse either on the vertices of a graph or in the graph spectral domain. Recent results on the algebraic properties of random integer matrices as well as on the boundedness of eigenvectors of random matrices imply two types of support size uncertainty principles for graph signals.
Tarek Emmrich +2 more
wiley +1 more source
DIAROP: Automated Deep Learning-Based Diagnostic Tool for Retinopathy of Prematurity
Diagnostics, 2021 Retinopathy of Prematurity (ROP) affects preterm neonates and could cause blindness. Deep Learning (DL) can assist ophthalmologists in the diagnosis of ROP.
Omneya Attallah
doaj +1 more source
Speech Compression Based on Discrete Walsh Hadamard Transform [PDF]
International Journal of Information Engineering and Electronic Business, 2013 This paper presents a new lossy compression algorithm for stationary signal based on Discrete Walsh Hadamard Transform (DWHT). The principle of compression algorithm consists in framing the original speech signal into stationary frames and applying the DWHT.
Noureddine Aloui +2 more
openaire +1 more source
Australian &New Zealand Journal of Statistics, Volume 67, Issue 1, Page 3-30, March 2025.Summary Classically, the distinction between a fixed versus a random factor in analysis of variance has been considered a binary choice. Here we consider that any given factor can also occur along an incremental series of steps between these two extremes, depending on the sampling fraction of its levels from the wider population.
Marti J. Anderson +2 more
wiley +1 more source
Matrix Factorization and Some Fast Discrete Transforms
AxiomsIn this paper, three discrete transforms related to vector spaces over finite fields are studied. For our purposes, and according to the properties of the finite fields, the most suitable transforms are as follows: for binary fields, this is the Walsh ...
Iliya Bouyukliev +2 more
doaj +1 more source
Sketched and Truncated Polynomial Krylov Methods: Evaluation of Matrix Functions
Numerical Linear Algebra with Applications, Volume 32, Issue 1, February 2025.ABSTRACT Among randomized numerical linear algebra strategies, so‐called sketching procedures are emerging as effective reduction means to accelerate the computation of Krylov subspace methods for, for example, the solution of linear systems, eigenvalue computations, and the approximation of matrix functions.
Davide Palitta +2 more
wiley +1 more source
Octal Bent Generalized Boolean Functions [PDF]
, 2011 In this paper we characterize (octal) bent generalized Boolean functions defined on $\BBZ_2^n$ with values in $\BBZ_8$. Moreover, we propose several constructions of such generalized bent functions for both $n$ even and $n ...
Martinsen, Thor, Stanica, Pante
core +1 more source
The context-dependence of mutations: a linkage of formalisms
, 2015 Defining the extent of epistasis - the non-independence of the effects of mutations - is essential for understanding the relationship of genotype, phenotype, and fitness in biological systems.
Krishna, Vinod +2 more
core +3 more sources
Trotterless Simulation of Open Quantum Systems for NISQ Quantum Devices
Advanced Quantum Technologies, Volume 8, Issue 1, January 2025.Open quantum systems exhibit complex dynamics that can be simulated on quantum computers to provide physical insights into their behavior. This work proposes a new method for simulating these systems that reduces the effect of noise and errors on modern quantum hardware.
Colin Burdine, Enrique P. Blair
wiley +1 more source