Mobirise Website Builder

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, 73(5) (2025), 3015-3025, 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 operators with applications to Voronovskaja formulas, Mathematische Nachrichten (2025), doi: 10.1002/mana.202400281. 
  12. 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, Modern Mathematical Methods, 3(2) (2025), 57-71.
  13. D. Costarelli, M. Piconi, G. Vinti, A characterization of generalized Lipschitz classes by the rate of convergence of semi-discrete operators, Revista Matemática Complutense (2025). 
  14. A. Veneri, V. Suriani, A. Troiani, D.D. Bloisi, P. Burghignoli, D. Costarelli, I. Mereu, M. Natale, M. Piconi, D. Comite, Retrieval Methods for Microwave Remote Sensing of Soil Moisture, Above-Ground Biomass, and Freeze-Thaw Dynamic: A review, IEEE Geoscience and Remote Sensing Magazine (2025), doi: 10.1109/MGRS.2025.3623398. 
  15. A. Croitoru, A. Iosif, A.R. Sambucini, Generalized Decomposition Integral of Real Functions with Respect to Fuzzy Measures, Boletim da Sociedade Paranaense de Matemática, (43)2 (2025), 1-13, doi:10.5269/bspm.79146. 
  16. D. Costarelli, M. Piconi, Strong and weak sharp bounds for Neural Network Operators in Sobolev-Orlicz spaces and their quantitative extensions to Orlicz spaces, Bulletin des Sciences Mathématiques, 208 (2026), 103791.
  17. 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, in press in SIAM Journal on Mathematical Analysis (2025), arXiv:2501.14857
  18. D. Costarelli, M. Piconi, Implementation of neural network operators with applications to remote sensing data, submitted (2024), arXiv:2412.00375.
  19. D. Costarelli, Saturation theorems for neural network operators by solving elliptic and hyperbolic PDEs with analytical and semi-analytical inverse problems, submitted (2025), arXiv:2505.07526.
  20. D. Costarelli, M. Piconi, A. Troiani, Bayesian Inversion via Probabilistic Cellular Automata: an application to image denoising, submitted (2025), arXiv:2507.14869

Offline Website Software