Results 41 to 50 of about 76,798 (219)
Revealing Protein–Protein Interactions Using a Graph Theory‐Augmented Deep Learning Approach
Advanced Intelligent Discovery, EarlyView.This study presents a fast, cost‐efficient approach for classifying protein–protein interactions by integrating graph‐theory parametrization with deep learning (DL). Multiscale features extracted from graph‐encoded polarized‐light microscopy (PLM) images enable accurate prediction of binding strengths.
Bahar Dadfar +5 more
wiley +1 more source
Microlocal Asymptotic Analysis in Algebras of Generalized Functions
, 2007 We introduce a new type of local and microlocal asymptotic analysis in algebras of generalized functions, based on the presheaf properties of those algebras and on the properties of their elements with respect to a regularizing parameter. Contrary to the
Delcroix, Antoine +2 more
core +2 more sources
Advanced Intelligent Systems, EarlyView.This study introduces a framework that combines graph neural networks with causal inference to forecast recurrence and uncover the clinical and pathological factors driving it. It further provides interpretability, validates risk factors via counterfactual and interventional analyses, and offers evidence‐based insights for treatment planning ...
Jubair Ahmed +3 more
wiley +1 more source
Finitely-Generated Algebras of Smooth Functions, in One Dimension [PDF]
Journal of Functional Analysis, 1998 Let \(\psi_1, \psi_2, \dots, \psi_n\) be \(n\) point-separating functions in \(C^\infty({\mathbb{R}})\), and let\linebreak \(R[\psi_1, \psi_2, \dots, \psi_n]\) denote the real algebra generated by them. The authors describe the closure of \(R[\psi_1, \psi_2, \dots, \psi_n]\) in \(C^\infty({\mathbb{R}})\).
Allan, Graham +3 more
openaire +2 more sources
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Advanced Intelligent Systems, EarlyView.Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Karpatsʹkì Matematičnì Publìkacìï, 2019 In this paper, we study the existence of the solutions of a class of functional integral equations by using some fixed point results in cone $b$-metric spaces over Banach algebras. In order to obtain these results we introduced and proved some properties
L.T. Quan, T. Van An
doaj +1 more source
Categorical frameworks for generalized functions
, 2014 We tackle the problem of finding a suitable categorical framework for generalized functions used in mathematical physics for linear and non-linear PDEs.
Giordano, Paolo, Wu, Enxin
core +1 more source
A New Algebra of Periodic Generalized Functions
Zeitschrift für Analysis und ihre Anwendungen, 1996 Let n denote a strictly positive integer. We construct a complex differential algebra \mathcal G_n of so-called 2\pi
openaire +2 more sources
Universal Entanglement and an Information‐Complete Quantum Theory
Advanced Physics Research, EarlyView.This Perspective summarize an informationcomplete quantum theory which describes a fully quantum world without any classical systems and concepts. Here spacetime/gravity, having to be a physical quantum system, universally entangles matter (matter fermions and their gauge fields) as an indivisible trinity, and encodes information‐complete physical ...
Zeng‐Bing Chen
wiley +1 more source
Elliptic regularity and solvability for partial differential equations with Colombeau coefficients
Electronic Journal of Differential Equations, 2004 This paper addresses questions of existence and regularity of solutions to linear partial differential equations whose coefficients are generalized functions or generalized constants in the sense of Colombeau.
Gunther Hormann +1 more
doaj