Results 101 to 110 of about 4,892 (236)

Input Layer Regularization and Automated Regularization Hyperparameter Tuning for Myelin Water Estimation Using Deep Learning

open access: yesNMR in Biomedicine, Volume 39, Issue 6, June 2026.
We propose a novel deep learning algorithm for predicting the myelin water fraction from multiple gradient‐echo or spin‐echo pulse sequences arising in magnetic resonance relaxometry (MRR) measurements of the human brain. Our method incorporates both regularized nonlinear least squares and pure deep learning through a concatenation paradigm known as ...
Mirage Modi   +7 more
wiley   +1 more source

New generalized Pólya–Szegö and Čebyšev type inequalities with general kernel and measure

open access: yesAdvances in Difference Equations, 2020
It is always attractive and motivating to acquire the generalizations of known results. In this article, we introduce a new class C ( h ) $\mathfrak{C(h)}$ of functions which can be represented in a form of integral transforms involving general kernel ...
S. Iqbal   +5 more
doaj   +1 more source

A new truncated $M$-fractional derivative type unifying some fractional derivative types with classical properties [PDF]

open access: yes, 2017
We introduce a truncated $M$-fractional derivative type for $\alpha$-differentiable functions that generalizes four other fractional derivatives types recently introduced by Khalil et al., Katugampola and Sousa et al., the so-called conformable ...
de Oliveira, E. Capelas   +1 more
core   +3 more sources

Continuous random variables with Hadamard fractional integral

open access: yesTamkang Journal of Mathematics, 2018
In this paper, we establish some new inequalities of expectation and variance of continuous random variables by using the Hadamard fractional integral operator.
Khellaf Ould Melha   +1 more
openaire   +2 more sources

Spatial price competition and buyer power in the U.S. beef packing industry

open access: yesAmerican Journal of Agricultural Economics, Volume 108, Issue 3, Page 771-798, May 2026.
Abstract We develop a spatially‐explicit model of the U.S. beef packing industry to study key questions related to competition in an oligopsony setting. Cattle supplies are modeled at the county level, and packing plants' location, capacity, and ownership are taken as given. Packers procure negotiated cattle by competing in prices in each local (county)
GianCarlo Moschini, T. Jake Smith
wiley   +1 more source

Mesoscale Recovery of Microglial and Neuronal Dynamics After Craniotomy Across Wide Cortex in Transgenic Mice

open access: yesAdvanced Science, Volume 13, Issue 23, 23 April 2026.
This study employs longitudinal fluorescence imaging in transgenic mice to map post‐craniotomy cortical recovery. We identify distinct neuroimmune recovery phases: microglial structural inflammation peaks at ∼10 days, neuronal structural intensity peaks at ∼14 days and correlates with microglial activity, and functional network modularity is most ...
Guihua Xiao   +13 more
wiley   +1 more source

Properties for ψ-Fractional Integrals Involving a General Function ψ and Applications

open access: yesMathematics, 2019
In this paper, we are concerned with the ψ-fractional integrals, which is a generalization of the well-known Riemann−Liouville fractional integrals and the Hadamard fractional integrals, and are useful in the study of various fractional ...
Jin Liang, Yunyi Mu
doaj   +1 more source

Tessellation Groups, Harmonic Analysis on Non‐Compact Symmetric Spaces and the Heat Kernel in View of Cartan Convolutional Neural networks

open access: yesFortschritte der Physik, Volume 74, Issue 4, April 2026.
ABSTRACT In this paper, we continue the development of the Cartan neural networks programme, launched with three previous publications, by focusing on some mathematical foundational aspects that we deem necessary for our next steps forward. The mathematical and conceptual results are diverse and span various mathematical fields, but the inspiring ...
Pietro Fré   +4 more
wiley   +1 more source

Bayesian Hierarchical Models With Calibrated Mixtures of g‐priors for Assessing Treatment Effect Moderation in Meta‐Analysis

open access: yesStatistics in Medicine, Volume 45, Issue 8-9, April 2026.
ABSTRACT Assessing treatment effect moderation is critical in biomedical science and many other fields, as it guides personalized interventions to improve individual health outcomes. Individual participant‐level data meta‐analysis (IPD‐MA) offers a robust framework for such assessments by leveraging data from multiple studies.
Qiao Wang, Hwanhee Hong
wiley   +1 more source

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