Results 41 to 50 of about 978 (184)

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

open access: yesAdvanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu   +11 more
wiley   +1 more source

Lattices of Fuzzy Measures Defined on Hilbert Spaces

open access: yesInternational Journal of Fuzzy Logic Systems, 2013
A new type of translation invariant and lower semi continuous fuzzy measure, called VGFM (Vector Generated Fuzzy Measure), on the class of subsets of a real Hilbert space is introduced. It measures a subset of the Hilbert space as a projection of the set along a given unit vector in the Hilbert space.
Manju Cherian, Sudheery K
openaire   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

0n Fuzzy Soft (α,β)-class(Q)operator

open access: yesWasit Journal of Computer and Mathematics Science
this paper present a new type of operator , referred to as the fuzzy soft class (Q) operator , which operator on a complex Hilbert space . we examin several advantageous properties that are exclusive this operator class.
Hanan Khalid
doaj   +1 more source

A modified reproducing Kernel Hilbert space method for solving fuzzy fractional integro-differential equations

open access: yesBoletim da Sociedade Paranaense de Matemática, 2022
The aim of this paper is to extend the application of the reproducing kernel Hilbert space method (RKHSM) to solve linear and non-linear fuzzy integro-differential equations of fractional order under Caputo's H-differentiability. The analytic and approximate solutions are given in series form in term of their parametric form in the space $W_2^2 [a,b ...
Shatha Hasan   +3 more
openaire   +2 more sources

Advances in causal discovery methods for ecological time series

open access: yesBiological Reviews, EarlyView.
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki   +6 more
wiley   +1 more source

Advances in Position‐Momentum Entanglement: A Versatile Tool for Quantum Technologies

open access: yesLaser &Photonics Reviews, EarlyView.
Position–momentum entanglement constitutes a high‐dimensional continuous‐variable resource in quantum optics. Recent advances in its generation, characterization, and control are reviewed, with emphasis on spontaneous parametric down‐conversion and modern measurement techniques.
Satyajeet Patil   +6 more
wiley   +1 more source

Some Properties of Spectral Theory in Fuzzy Hilbert Spaces

open access: yesJournal of Al-Qadisiyah for Computer Science and Mathematics, 2017
In this paper we give some definitions and properties of spectral theory in fuzzy Hilbert spaces also we introduce  definitions Invariant  under a linear operator  on fuzzy normed spaces and reduced  linear operator on fuzzy Hilbert spaces and we prove theorms  related to eigenvalue and eigenvectors ,eigenspace in fuzzy normed , Invariant and  reduced ...
Noori F. Al-Mayahi, Abbas M. Abbas
openaire   +2 more sources

Quantifying Cardiac, Respiratory, and Low Frequency Components of CSF Motion From fMRI Inflow Effects

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Cerebrospinal fluid (CSF) flow oscillations have emerged as a potentially important marker related to brain clearance, but their acquisition often relies on specialized imaging MRI sequences. The purpose of this work was to enable quantitative assessment of CSF flow associated with cardiac, respiratory, and low‐frequency cycles using ...
Pontus Söderström   +5 more
wiley   +1 more source

Positive Definite Kernel Functions on Fuzzy Sets

open access: yes, 2014
Embedding non-vectorial data into a normed vectorial space is very common in machine learning, aiming to perform tasks such classification, regression, clustering and so on.
Hirata Jr, Roberto   +2 more
core   +2 more sources

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