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Publications

  1. L. Boccali, D. Costarelli, G. Vinti, Convergence results in Orlicz spaces for sequences of max-product Kantorovich sampling operators, Journal of Computational and Applied Mathematics, 449 (2024), 115957.
  2. D. Costarelli, A.R. Sambucini, A comparison among a fuzzy algorithm for image rescaling with other methods of digital image processing, Constructive Mathematical Analysis, 7(2) (2024), 45-68.
  3. L. Coroianu, D. Costarelli, M. Natale, A. Pantiș, The approximation capabilities of Durrmeyer-type neural network operators, Journal of Applied Mathematics and Computing, (2024).
  4. L. Coroianu, D. Costarelli, Best approximation and inverse results for neural network operators, Results in Mathematics, 79 (2024) 193.
  5. M. Isopi, B. Scoppola, A. Troiani, On some features of quadratic unconstrained binary optimization with random coefficients, Bollettino dell'Unione Matematica Italiana, (2024).
  6. A. Troiani, Probabilistic Cellular Automata Monte Carlo for the Maximum Clique Problem, Mathematics, 12(18) (2024), 2850.
  7. L. Boccali, D. Costarelli, G. Vinti, Max-Product Sampling Kantorovich Operators: Quantitative Estimates in Functional Spaces, Numerical Functional Analysis and Optimization, (2024),  1–19. (green open access version at arXiv:2306.03560)
  8. D. Costarelli, M. Piconi, Asymptotic Analysis of Neural Network Operators Employing the Hardy-Littlewood Maximal Inequality, Mediterranean Journal of Mathematics, 21(199) (2024). doi: 10.1007/s00009-024-02752-8. (green open access: submitted version of the paper)
  9. A. Veneri, P. Burghignoli, D. Comite, Microwave Imaging with Circular Arrays: Comparative Analysis between OAM and MIMO, IEEE Transactions on Antennas and Propagation (2024), doi: 10.1109/TAP.2024.3516358.
  10. L. Angeloni, D. Costarelli, C. Darielli, Approximation processes by multidimensional Bernstein-type exponential polynomials on the hypercube,  Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas, 119(28) (2025) (green open access: submitted version of the paper). 
  11. M. Cantarini and D. Costarelli, Simultaneous approximation by neural network operatorswith applications to Voronovskaja formulas, Mathematische Nachrichten (2025), doi: 10.1002/mana.202400281. 
  12. D. Costarelli, M. Piconi, Implementation of neural network operators with applications to remote sensing data, submitted (2024), arXiv:2412.00375.
  13. L. Angeloni, D.D. Bloisi, P. Burghignoli, D. Comite, D. Costarelli, M. Piconi, A.R. Sambucini, A. Troiani, A. Veneri, Microwave Remote Sensing of Soil Moisture, Above Ground Biomass and Freeze-Thaw Dynamic: Modeling and Empirical Approaches, submitted (2025),  arXiv:2412.03523.
  14. D. Costarelli, M. Piconi, Strong and weak sharp bounds for Neural Network Operators in Sobolev-Orlicz spaces and their quantitative extensions to Orlicz spaces, submitted (2025), arxiv:2501.10101.
  15. D. Costarelli, M. Natale, M. Piconi, Image resizing by neural network operators and their convergence rate with respect to the L^p-norm and the dissimilarity index defined through the continuous SSIM, submitted (2025), arXiv:2501.14857
  16. A. Veneri, V. Suriani, A. Troiani, D.D. Bloisi, P. Burghignoli, D. Costarelli, I. Mereu, M. Natale, M. Piconi, D. Comite, A Review on Retrieval Methods for Microwave Remote Sensing of Soil Moisture, Above-Ground Biomass, and Freeze-Thaw Dynamic, submitted (2025), 10.36227/techrxiv.174000579.94856636/v1.
  17. D. Costarelli, M. Piconi, G. Vinti, A characterization of generalized Lipschitz classes by the rate of convergence of semi-discrete operators, submitted (2025), arxiv:2502.11952.

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