Results 11 to 20 of about 1,410 (194)

STABILITY,ERROR ESTIMATE AND APPROXIMATION OF SOLUTIONS OF NON-LINEAR SYSTEM INTEGRAL EQUATIONS IN DIRECT SUM OF HILBERT SPACE

open access: yesMINAR International Journal of Applied Sciences and Technology, 2023
In this research, we study stability of solutions with respect to the driver of a system of nonlinear Volterrs integral equations in reproducing Kernel Hilbert space. We study error estimate of solutions in terms of uniform grid numbers of subintervals of [a, b].
Haider A.MAJEED   +2 more
openaire   +1 more source

Norm Conditions on Resolvents of Similarities of Hilbert Space Operators and Applications to Direct Sums and Integrals of Operators [PDF]

open access: yesProceedings of the American Mathematical Society, 1978
Similarities of an operator T are determined so that on certain sets the norm of the resolvents of the similarity satisfy bounding conditions independent of T .
openaire   +2 more sources

Metamodel construction for sensitivity analysis

open access: yesESAIM: Proceedings and Surveys, 2017
We propose to estimate a metamodel and the sensitivity indices of a complex model m in the Gaussian regression framework. Our approach combines methods for sensitivity analysis of complex models and statistical tools for sparse non-parametric estimation ...
Huet Sylvie, Taupin Marie-Luce
doaj   +1 more source

Direct sum of lower semi-frames in Hilbert spaces

open access: yesGulf Journal of Mathematics
In this paper, structural properties of lower semi-frames in separable Hilbert spaces are explored with a focus on transformations under linear operators (may be unbounded). Also, the direct sum of lower semi-frames, providing necessary and sufficient conditions for the preservation of lower semi-frame structure, is examined.
Mohanarangan, Hemalatha   +2 more
openaire   +3 more sources

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

open access: yesAdvanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

Stem Cell Differentiation Disperses Transcriptional Clusters via a Conserved Surface‐Condensate Trajectory

open access: yesAdvanced Science, EarlyView.
Stem cell differentiation follows a conserved surface condensate trajectory: H3K27ac super enhancers nucleate large RNA polymerase II clusters that grow and unfold before transcriptional activity disperses them. This work reveals how biophysical forces at enhancer surfaces dynamically build and dismantle stem cell transcription hubs, reshaping cell ...
Tim Klingberg   +18 more
wiley   +1 more source

ORBIT‐AMD: Ordinal Risk, Bilateral Imaging, and Trajectory Learning for Age‐Related Macular Degeneration in Multi‐Cohorts

open access: yesAdvanced Science, EarlyView.
Eligibility flow and real‐world AMD burden in the UKB retinal imaging cohort and TMUEH external‐validation cohort. Overview of the ORBIT‐AMD architecture, integrating retinal representation pretraining, bilateral eye‐graph modeling and concept bottleneck learning to support ordered risk, bilateral context, interpretable lesion concepts, longitudinal ...
Xuehao Cui   +3 more
wiley   +1 more source

On (n,D)- quasi Operators

open access: yesIraqi Journal for Computer Science and Mathematics
T Through the article, we will provide an entirely novel type of quasi operators base on the concept of D razin inverse in Operator theory which is named (n,D) -quasi operators on the Hilbert spaces, also we explain the sum, product, and other features ...
salim dawood mohsen
doaj   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Application Investigation of Quasi Drazin Inverse Hyponormal Operators within the Framework of Fuzzy Soft Set Theory in Hilbert Space

open access: yesJournal of Applied Science and Engineering
This study aims to investigate the realm of operator theory related to Fuzzy Soft Theory. Based on fuzzy soft Hilbert spaces, a novel formula of fuzzy soft quasi-hyponormal operator via a technique of fuzzy soft Drazin inverse named the fuzzy soft n ...
Salim Dawood Mohsen, Zaid Rajih Hamza
doaj   +1 more source

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