Danilo Costarelli

Orcid: 0000-0001-8834-8877

According to our database1, Danilo Costarelli authored at least 25 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Approximation error for neural network operators by an averaged modulus of smoothness.
J. Approx. Theory, October, 2023

Preface: Special issue on approximation by linear and nonlinear operators with applications. Part III.
Math. Found. Comput., 2023

Improvement of renal image recognition through resolution enhancement.
Expert Syst. Appl., 2023

2022
Density Results by Deep Neural Network operators with Integer weights.
Math. Model. Anal., 2022

Preface: Special issue on approximation by linear and nonlinear operators with applications. Part Ⅱ.
Math. Found. Comput., 2022

Improvement of retinal OCT angiograms by Sampling Kantorovich algorithm in the assessment of retinal and choroidal perfusion.
Appl. Math. Comput., 2022

2021
Enhancement of Cone-Beam Computed Tomography Dental-Maxillofacial Images by Sampling Kantorovich Algorithm.
Symmetry, 2021

Preface: Special issue on approximation by linear and nonlinear operators with applications. Part I.
Math. Found. Comput., 2021

2020
Asymptotic expansions and Voronovskaja type theorems for the multivariate neural network operators.
Math. Found. Comput., 2020

A comparison between the sampling Kantorovich algorithm for digital image processing with some interpolation and quasi-interpolation methods.
Appl. Math. Comput., 2020

2019
Convergence in Orlicz spaces by means of the multivariate max-product neural network operators of the Kantorovich type and applications.
Neural Comput. Appl., 2019

Inverse results of approximation and the saturation order for the sampling Kantorovich series.
J. Approx. Theory, 2019

Approximate solutions of Volterra integral equations by an interpolation method based on ramp functions.
Comput. Appl. Math., 2019

Quasi-projection operators with applications to differential-difference expansions.
Appl. Math. Comput., 2019

The max-product generalized sampling operators: convergence and quantitative estimates.
Appl. Math. Comput., 2019

2018
Detection of thermal bridges from thermographic images by means of image processing approximation algorithms.
Appl. Math. Comput., 2018

Approximation Problems for Digital Image Processing and Applications.
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

2016
Pointwise and uniform approximation by multivariate neural network operators of the max-product type.
Neural Networks, 2016

Max-product neural network and quasi-interpolation operators activated by sigmoidal functions.
J. Approx. Theory, 2016

2015
Neural network operators: Constructive interpolation of multivariate functions.
Neural Networks, 2015

2014
Convergence of a family of neural network operators of the Kantorovich type.
J. Approx. Theory, 2014

Applications of sampling Kantorovich operators to thermographic images for seismic engineering.
CoRR, 2014

2013
Approximation results for neural network operators activated by sigmoidal functions.
Neural Networks, 2013

Multivariate neural network operators with sigmoidal activation functions.
Neural Networks, 2013

Asymptotic-numerical solution of nonlinear systems of one-dimensional balance laws.
J. Comput. Phys., 2013


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