Danilo Costarelli

Orcid: 0000-0001-8834-8877

According to our database1, Danilo Costarelli authored at least 34 papers between 2013 and 2026.

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

Timeline

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Bibliography

2026
Advancements in nonlinear exponential sampling: convergence, quantitative analysis and Voronovskaya-type formula.
Commun. Nonlinear Sci. Numer. Simul., 2026

2025
Semi-discrete moduli of smoothness and their applications in one- and two- sided error estimates.
CoRR, June, 2025

Sampling Kantorovich operators for speckle noise reduction using a Down-Up scaling approach and gap filling in remote sensing images.
CoRR, May, 2025

Image resizing by neural network operators and their convergence rate with respect to the L<sup>p</sup>-norm and the dissimilarity index defined through the continuous SSIM.
CoRR, January, 2025

Interpolation Theory and Artificial Intelligence: A Roadmap for Satellite Data Augmentation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024
The approximation capabilities of Durrmeyer-type neural network operators.
J. Appl. Math. Comput., October, 2024

Convergence results in Orlicz spaces for sequences of max-product sampling Kantorovich operators.
J. Comput. Appl. Math., 2024

Microwave Remote Sensing of Soil Moisture, Above Ground Biomass and Freeze-Thaw Dynamic: Modeling and Empirical Approaches.
CoRR, 2024

Implementation of neural network operators with applications to remote sensing data.
CoRR, 2024

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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