Results 41 to 50 of about 1,091 (210)

Uncertainty Quantification in Planning Aircraft Ground Movement Operations With Towbarless Robotic Tractors

International Journal of Robust and Nonlinear Control, Volume 36, Issue 5, Page 2542-2556, 25 March 2026.
ABSTRACT This article addresses the problem of quantifying the uncertainty in planning aircraft ground movement operations using towbarless robotic tractors taking into account the inherent uncertainties of the problem, specifically, the uncertainties in the weight of the aircraft and in the rolling resistance of the wheels of the main landing gear ...
Almudena Buelta, Alberto Olivares, Ernesto Staffetti   +2 more
wiley   +1 more source

Impact of CT dose on AI performance: A comparison of radiomics, deep, and foundation models in a multicentric anthropomorphic phantom study

Medical Physics, Volume 53, Issue 3, March 2026.
Abstract BackgroundComputed tomography (CT) is widely used in clinical practice due to its ability to provide detailed anatomical information. However, variations in radiation dose can affect image quality, potentially compromising the performance and reliability of artificial intelligence (AI) models applied to these images.
María Martín Asiain, Mohammadreza Amirian, Oscar Jimenez del Toro, Christoph Aberle, Roger Schaer, Michael Bach, Markus Obmann, Kyriakos Flouris, Henning Müller, Bram Stieltjes, Ender Konukoglu, Vincent Andrearczyk, Adrien Depeursinge   +12 more
wiley   +1 more source

Cointegrating Polynomial Regressions With Power Law Trends

Journal of Time Series Analysis, Volume 47, Issue 2, Page 331-344, March 2026.
ABSTRACT The common practice in cointegrating polynomial regressions (CPRs) often confines nonlinearities in the variable of interest to stochastic trends, thereby overlooking the possibility that they may be caused by deterministic components. As an extension, we propose univariate and multivariate CPRs that incorporate power law deterministic trends.
Yicong Lin, Hanno Reuvers
wiley   +1 more source

BICOMPLEX VERSION OF STIELTJES TRANSFORM AND APPLICATIONS

, 2020
. Motivated by the recent developments of the integral transform in bicomplex form, in this paper we derive the formula for bicomplex version of Stieltjes transform, it's inverse and relationship with bicomplex Laplace transform.
Mahesh Puri Goswami, Ravi P Agarwal, Ritu Agarwal   +2 more
core  

Multivariate representations of univariate marked Hawkes processes

Scandinavian Journal of Statistics, Volume 53, Issue 1, Page 140-174, March 2026.
Abstract Univariate marked Hawkes processes are used to model a range of real‐world phenomena including earthquake aftershock sequences, contagious disease spread, content diffusion on social media platforms, and order book dynamics. This paper illustrates a fundamental connection between univariate marked Hawkes processes and multivariate Hawkes ...
Louis Davis, Conor Kresin, Boris Baeumer, Ting Wang   +3 more
wiley   +1 more source

On the theory of generalized Stieltjes transforms

Journal d'Analyse Mathématique
We identify measures arising in the representations of products of generalized Stieltjes transforms as generalized Stieltjes transforms, provide optimal estimates for the size of those measures, and address a similar issue for generalized Cauchy transforms.
Gomilko, Alexander, Tomilov, Yuri
openaire   +2 more sources

Abelian Theorem for the Distributional Stieltjes Transformation

International Journal of Mathematics and Mathematical Sciences, 1985
In this paper we use the notion of L‐quasiasymptotic at infinity of distributions to obtain a final value Tauberian theorem for the distributional Stieltjes transformation.
Nikolić-Despotović, Danica, Pilipović, Stevan   +1 more
openaire   +3 more sources

A theorem on the generalized Stieltjes transform and its applications

, 1992
This paper presents a proof of Parseval-Goldstein type theorem involving the generalized Stieltjes transform and the classical Laplace transform. The theorem is then shown to yield a number of results about the Widder potential transform and the Laguerre
Yürekli, Osman
core   +1 more source

Neural Controlled Differential Equation and Its Application in Pharmacokinetics and Pharmacodynamics

CPT: Pharmacometrics &Systems Pharmacology, Volume 15, Issue 1, January 2026.
Neural controlled differential equations (NCDE), driven by control variables, are capable to learn the discontinuous dynamics in the PK and PD datasets. ABSTRACT With the recent advances in machine learning (ML) and artificial intelligence (AI), data‐driven modeling approaches for pharmacokinetics (PK) and pharmacodynamics (PD) have gained popularity ...
Zhisong Wu, Pingyao Luo, Rong Chen, Yaou Liu, Weizhe Jian, Tianyan Zhou   +5 more
wiley   +1 more source

Transformations of Lebesgue–Stieltjes Integrals

Journal of Mathematical Analysis and Applications, 1997
The author discusses the formula \(\int^b_a f(x)d\alpha(x)= \int^{\alpha(b)}_{\alpha(a)} g(t)dt\) for suitable functions \(f\), \(\alpha\) and \(g\) obtained therefrom.
openaire   +2 more sources