Results 31 to 40 of about 975 (221)
Constructions of Hadamard Difference Sets
Using a spread ofPG(3, p) and certain projective two-weight codes, we give a general construction of Hadamard difference sets in groupsH×(Zp)4, whereHis either the Klein 4-group or the cyclic group of order 4, andpis an odd prime. In the casep≡3 (mod 4),
Xiang, Qing, Wilson, Richard M.
core +1 more source
On certain classes of Dirichlet series with real coefficients absolute convergent in a half-plane
For $h>0$, $\alpha\in [0,h)$ and $\mu\in {\mathbb R}$ denote by $SD_h(\mu, \alpha)$ a class of absolutely convergent in the half-plane $\Pi_0=\{s:\, \text{Re}\,s\alpha$ for all $s\in \Pi_0$,} \smallskip\noi and let $\Sigma D_h(\mu, \alpha)$ be ...
M. M. Sheremeta
doaj +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu +5 more
wiley +1 more source
Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng +5 more
wiley +1 more source
The method of integral representation and calculation of the combinatorial sums of various type (the method of coefficients) using the formal Laurent power series over $\mathbbm C$, the theory of analitical functions and the theory of multiple residues ...
G.P. Egorychev
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Robust Hadamard Matrices, Unistochastic Rays in Birkhoff Polytope and Equi-Entangled Bases in Composite Spaces [PDF]
17 ...
Grzegorz Rajchel +2 more
openaire +4 more sources
SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng +6 more
wiley +1 more source
Wavefront Line‐Scan Imaging Via a Single‐Pixel Detector
We propose and demonstrate a wavefront line‐scan imaging paradigm that integrates 1D spatial light modulation with single‐pixel detection. Benefiting from 1D modulation, not only is the imaging speed improved, but also the storage of modulation patterns is reduced by several orders of magnitude.
Nuo Liu +4 more
wiley +1 more source
On the Existence of Abelian Hadamard Difference Sets and a New Family of Difference Sets
We present a construction of Hadamard difference sets in abelian groups of order 4p4n, whose Sylowp-subgroups are elementary. By a standard composition procedure, we can now conclude that (4h2, 2h2−h,h2−h)-Hadamard difference sets exist forh= 2ϵ13ϵ2u2 ...
Chen, Yu Qing
core +1 more source

