Danilo Costarelli

35 papers Journal 34Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advancements in nonlinear exponential sampling: convergence, quantitative analysis and Voronovskaya-type formula. Commun. Nonlinear Sci. Numer. Simul. Danilo Costarelli, Mariarosaria Natale
2026	J	`jnl`	Implementation of neural network operators with applications to remote sensing data. J. Comput. Appl. Math. Danilo Costarelli, Michele Piconi
2025	J	`jnl`	Image resizing by neural network operators and their convergence rate with respect to the L CoRR Danilo Costarelli, Mariarosaria Natale, Michele Piconi
2025	J	`jnl`	Interpolation Theory and Artificial Intelligence: A Roadmap for Satellite Data Augmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Isabella Mereu, Mariarosaria Natale, Michele Piconi, Alessio Troiani, Vincenzo Suriani, Domenico Daniele Bloisi, Paolo Burghignoli, Danilo Costarelli, Alessandro Veneri, Davide Comite
2025	J	`jnl`	Sampling Kantorovich operators for speckle noise reduction using a Down-Up scaling approach and gap filling in remote sensing images. CoRR Danilo Costarelli, Mariarosaria Natale
2025	J	`jnl`	Semi-discrete moduli of smoothness and their applications in one- and two- sided error estimates. CoRR Danilo Costarelli, Donato Lavella
2024	J	`jnl`	Convergence results in Orlicz spaces for sequences of max-product sampling Kantorovich operators. J. Comput. Appl. Math. Lorenzo Boccali, Danilo Costarelli, Gianluca Vinti
2024	J	`jnl`	Implementation of neural network operators with applications to remote sensing data. CoRR Danilo Costarelli, Michele Piconi
2024	J	`jnl`	Microwave Remote Sensing of Soil Moisture, Above Ground Biomass and Freeze-Thaw Dynamic: Modeling and Empirical Approaches. CoRR Laura Angeloni, Domenico Daniele Bloisi, Paolo Burghignoli, Davide Comite, Danilo Costarelli, Michele Piconi, Anna Rita Sambucini, Alessio Troiani, Alessandro Veneri
2024	J	`jnl`	The approximation capabilities of Durrmeyer-type neural network operators. J. Appl. Math. Comput. Lucian C. Coroianu, Danilo Costarelli, Mariarosaria Natale, Alexandra Pantis
2023	J	`jnl`	Approximation error for neural network operators by an averaged modulus of smoothness. J. Approx. Theory Danilo Costarelli
2023	J	`jnl`	Improvement of renal image recognition through resolution enhancement. Expert Syst. Appl. Aleksandra Maria Osowska-Kurczab, Tomasz Les, Tomasz Markiewicz, Miroslaw Dziekiewicz, Malgorzata Lorent, Szczepan Cierniak, Danilo Costarelli, Marco Seracini, Gianluca Vinti
2023	J	`jnl`	Preface: Special issue on approximation by linear and nonlinear operators with applications. Part III. Math. Found. Comput. Danilo Costarelli
2022	J	`jnl`	Density Results by Deep Neural Network operators with Integer weights. Math. Model. Anal. Danilo Costarelli
2022	J	`jnl`	Improvement of retinal OCT angiograms by Sampling Kantorovich algorithm in the assessment of retinal and choroidal perfusion. Appl. Math. Comput. Carlo Cagini, Danilo Costarelli, R. Gujar, Marco Lupidi, G. A. Lutty, Marco Seracini, Gianluca Vinti
2022	J	`jnl`	Preface: Special issue on approximation by linear and nonlinear operators with applications. Part Ⅱ. Math. Found. Comput. Danilo Costarelli
2021	J	`jnl`	Enhancement of Cone-Beam Computed Tomography Dental-Maxillofacial Images by Sampling Kantorovich Algorithm. Symmetry Danilo Costarelli, Pietro Pozzilli, Marco Seracini, Gianluca Vinti
2021	J	`jnl`	Preface: Special issue on approximation by linear and nonlinear operators with applications. Part I. Math. Found. Comput. Danilo Costarelli
2020	J	`jnl`	A comparison between the sampling Kantorovich algorithm for digital image processing with some interpolation and quasi-interpolation methods. Appl. Math. Comput. Danilo Costarelli, Marco Seracini, Gianluca Vinti
2020	J	`jnl`	Asymptotic expansions and Voronovskaja type theorems for the multivariate neural network operators. Math. Found. Comput. Danilo Costarelli, Gianluca Vinti
2019	J	`jnl`	Approximate solutions of Volterra integral equations by an interpolation method based on ramp functions. Comput. Appl. Math. Danilo Costarelli
2019	J	`jnl`	Convergence in Orlicz spaces by means of the multivariate max-product neural network operators of the Kantorovich type and applications. Neural Comput. Appl. Danilo Costarelli, Anna Rita Sambucini, Gianluca Vinti
2019	J	`jnl`	Inverse results of approximation and the saturation order for the sampling Kantorovich series. J. Approx. Theory Danilo Costarelli, Gianluca Vinti
2019	J	`jnl`	Quasi-projection operators with applications to differential-difference expansions. Appl. Math. Comput. Danilo Costarelli, Aleksandr V. Krivoshein, Maria Skopina, Gianluca Vinti
2019	J	`jnl`	The max-product generalized sampling operators: convergence and quantitative estimates. Appl. Math. Comput. Lucian C. Coroianu, Danilo Costarelli, Sorin G. Gal, Gianluca Vinti
2018	—	`conf`	Approximation Problems for Digital Image Processing and Applications. ICCSA (1) Danilo Costarelli, Marco Seracini, Gianluca Vinti
2018	J	`jnl`	Detection of thermal bridges from thermographic images by means of image processing approximation algorithms. Appl. Math. Comput. Francesco Asdrubali, Giorgio Baldinelli, Francesco Bianchi, Danilo Costarelli, Antonella Rotili, Marco Seracini, Gianluca Vinti
2016	J	`jnl`	Max-product neural network and quasi-interpolation operators activated by sigmoidal functions. J. Approx. Theory Danilo Costarelli, Gianluca Vinti
2016	J	`jnl`	Pointwise and uniform approximation by multivariate neural network operators of the max-product type. Neural Networks Danilo Costarelli, Gianluca Vinti
2015	J	`jnl`	Neural network operators: Constructive interpolation of multivariate functions. Neural Networks Danilo Costarelli
2014	J	`jnl`	Applications of sampling Kantorovich operators to thermographic images for seismic engineering. CoRR Danilo Costarelli, Federico Cluni, Anna Maria Minotti, Gianluca Vinti
2014	J	`jnl`	Convergence of a family of neural network operators of the Kantorovich type. J. Approx. Theory Danilo Costarelli, Renato Spigler
2013	J	`jnl`	Approximation results for neural network operators activated by sigmoidal functions. Neural Networks Danilo Costarelli, Renato Spigler
2013	J	`jnl`	Asymptotic-numerical solution of nonlinear systems of one-dimensional balance laws. J. Comput. Phys. Danilo Costarelli, Matteo Laurenzi, Renato Spigler
2013	J	`jnl`	Multivariate neural network operators with sigmoidal activation functions. Neural Networks Danilo Costarelli, Renato Spigler