Results 111 to 120 of about 568,612 (221)

A Novel Activation Function for Enhancing Deep Neural Network Stability and Performance

Concurrency and Computation: Practice and Experience, Volume 38, Issue 18, September 2026.
ABSTRACT Activation functions play an important role in the performance of deep learning models by enabling them to learn complex and nonlinear relationships. However, widely used activation functions, such as ReLU, ELU, Swish, and GELU, have certain limitations.
Özcan Küçükali, M. Hakan Bozkurt, Esma Ulutaş, Işılay Bozkurt   +3 more
wiley   +1 more source

Bayesian Spatiotemporal Models for Counts of Tropospheric Ozone Daily Exceedances

Environmetrics, Volume 37, Issue 6, September 2026.
ABSTRACT In Northern Italy, air quality has recently become a major concern. The Lombardy region is classified as one of the most polluted areas in Europe due to a combination of geographical factors, high population density, and industrial activities.
Michela Frigeri, Alessandra Guglielmi, Cristina Colombi   +2 more
wiley   +1 more source

Amenability Constants for Unconditional Sums of Banach Algebras

Mathematische Nachrichten, Volume 299, Issue 9, Page 2472-2494, September 2026.
ABSTRACT We study Johnson amenability for unconditional direct sums of Banach algebras. Given a family (Ai)i∈I$(A_i)_{i\in I}$ of Banach algebras and a Banach sequence lattice E$E$ on I$I$, the E$E$‐sum ⨁i∈IAiE${\bigl (\bigoplus _{i\in I} A_i\bigr)}_{\!E}$ carries a natural Banach algebra structure via coordinatewise multiplication.
Tomasz Kania, Jerzy Ka̧kol
wiley   +1 more source

Single‐cell marker gene clustering: A unified deep learning framework for marker gene‐based clustering of single‐cell RNA‐sequencing data

Quantitative Biology, Volume 14, Issue 3, September 2026.
Abstract Single‐cell RNA sequencing (scRNA‐seq) has transformed the study of cellular heterogeneity by making it possible to classify individual cells and their functional states. However, the analysis remains difficult because high dropout rates lead to sparse and noisy expression data.
Shahriar Rahman Niloy, Toushif Muktashid Hasan, Md. Saiduzzaman Apu, Fahim Hafiz, Salekul Islam, Riasat Azim   +5 more
wiley   +1 more source

Skewed distributions generated by truncated cauchy kernel [PDF]

, 2017
The aim of the present study is to explore skewed distributions extended from the skew symmetric distributions generated by Cauchy kernel. In the last two decades, there has been a growing interest in the construction of skew symmetric distributions ...
Ashani, Zahra Nazemi
core   +1 more source

Boundary Value Problems for the Perturbed Dirac Equation

Axioms
The perturbed Dirac operators yield a factorization for the well-known Helmholtz equation. In this paper, using the fundamental solution for the perturbed Dirac operator, we define Cauchy-type integral operators (singular integral operators with a Cauchy
Hongfen Yuan, Guohong Shi, Xiushen Hu
doaj   +1 more source

The Cross‐Kernel Margin: A Robustness Measure for Quantum Kernel Methods

Advanced Quantum Technologies, Volume 9, Issue 9, September 2026.
The cross‐kernel margin is introduced as a robustness measure for Quantum Kernel‐Assisted Support Vector Machines. This metric evaluates a classifier learned from a perturbed kernel within the ideal, unperturbed kernel geometry. Derived stability bounds quantify the corresponding inverse squared‐margin deviation and are numerically tested under local ...
S. Govender, I. Sinayskiy
wiley   +1 more source

The Concept of the Mixing Index

Water Resources Research, Volume 62, Issue 9, September 2026.
Abstract Many current measures of mixing, such as the statistics of concentration, the scalar dissipation rate, or dilution index, are based on the dilution of a single component or pseudo‐component. Because of this, they miss the influence of numerous conditions that directly change true mixing, such as initial separation of chemically distinct water ...
David A. Benson, Diogo Bolster, Nicholas B. Engdahl   +2 more
wiley   +1 more source

Edge Density Expansions for the Classical Gaussian and Laguerre Ensembles

Studies in Applied Mathematics, Volume 157, Issue 3, September 2026.
ABSTRACT Recent work of Bornemann has uncovered hitherto hidden integrable structures relating to the asymptotic expansion of quantities at the soft edge of the Gaussian and Laguerre random matrix ensembles. These quantities are spacing distributions and the eigenvalue density, and the findings cover the cases of the three symmetry classes: orthogonal,
Peter J. Forrester, Anas A. Rahman, Bo‐Jian Shen   +2 more
wiley   +1 more source

The Szegö kernel in terms of Cauchy-Fantappiè kernels

Duke Mathematical Journal, 1978
Kerzman, N., Stein, E. M.
openaire   +2 more sources