Zobrazeno 1 - 10
of 143
pro vyhledávání: '"Giampaolo Ferraioli"'
Autor:
Shahab Ul Islam, Shahab Zaib, Giampaolo Ferraioli, Vito Pascazio, Gilda Schirinzi, Ghassan Husnain
Publikováno v:
AgriEngineering, Vol 6, Iss 1, Pp 375-395 (2024)
Deep neural networks have demonstrated outstanding performances in agriculture production. Agriculture production is one of the most important sectors because it has a direct impact on the economy and social life of any society. Plant disease identif
Externí odkaz:
https://doaj.org/article/cc81e11833f940de86e9b3da4f870108
Autor:
Muhammad Ali, Gilda Schirinzi, Zeeshan Afzal, Alessandra Budillon, Muhammad Saleem Mughal, Sajid Hussain, Giampaolo Ferraioli
Publikováno v:
Remote Sensing, Vol 16, Iss 8, p 1457 (2024)
Surface deformation caused by an earthquake is very important to study for a better understanding of the development of geological structures and seismic hazards in an active tectonic area. In this study, we estimated the surface deformation due to a
Externí odkaz:
https://doaj.org/article/040e2a6bc4b24c77a4dd3e136c99a6b8
Publikováno v:
Remote Sensing, Vol 15, Iss 16, p 3981 (2023)
The wellbeing of pipelines is influenced by a range of factors, such as internal and external pressures, as well as deterioration over time due to issues like erosion and corrosion. It is thus essential to establish a reliable monitoring system that
Externí odkaz:
https://doaj.org/article/43efc68e21cc4f0aba9990fb3678780f
Autor:
Bilel Kanoun, Michele Ambrosanio, Fabio Baselice, Giampaolo Ferraioli, Vito Pascazio, Luis Gomez
Publikováno v:
IEEE Access, Vol 8, Pp 184866-184884 (2020)
The topic of denoising magnetic resonance (MR) images is considered in this paper. More in detail, an enhanced Non-Local Means (NLM) filter using the Kolmogorov-Smirnov (KS) distance is proposed. The KS-NLM approach estimates the similarity between i
Externí odkaz:
https://doaj.org/article/e9f08ff4695a4bb6ac74a9138ef89419
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 1960 (2022)
The detection of multiple interfering persistent scatterers (PSs) using Synthetic Aperture Radar (SAR) tomography is an efficient tool for generating point clouds of urban areas. In this context, detection methods based upon the polarization informat
Externí odkaz:
https://doaj.org/article/b97610e3037c47b9941be54ee564f187
Autor:
Elena Martellato, Alice Maria Piccirillo, Giampaolo Ferraioli, Alessandra Rotundi, Vincenzo Della Corte, Pasquale Palumbo, Emanuele Alcaras, Luca Appolloni, Giuseppe Aulicino, Ivano Bertini, Vincenzo Capozzi, Elena Catucci, Zelia Dionnet, Pasquale Di Palma, Flavio Esposito, Emanuele Ferrentino, Anna Innac, Laura Inno, Silvia Pennino, Simona Saviano, Giuseppina Tirimberio, Stefania Campopiano, Elena Chianese, Pier Paolo Franzese, Giannetta Fusco, Salvatore Gaglione, Agostino Iadicicco, Ferdinando Nunziata, Claudio Parente, Vincenzo Piscopo, Angelo Riccio, Giovanni Fulvio Russo, Enrico Zambianchi
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2066 (2022)
In this paper, we present several study cases focused on marine, oceanographic, and atmospheric environments, which would greatly benefit from the use of a deployable system for small satellite observations. As opposed to the large standard ones, sma
Externí odkaz:
https://doaj.org/article/ff5ce7c04d3644c38b184ec78b6e86b9
Autor:
Silvia Pennino, Antonio Angrisano, Vincenzo Della Corte, Giampaolo Ferraioli, Salvatore Gaglione, Anna Innac, Elena Martellato, Pasquale Palumbo, Vincenzo Piscopo, Alessandra Rotundi, Antonio Scamardella
Publikováno v:
Journal of Marine Science and Engineering, Vol 9, Iss 1, p 64 (2021)
A parametric wave spectrum resembling procedure is applied to detect the sea state parameters, namely the wave peak period and significant wave height, based on the measurement and analysis of the heave and pitch motions of a vessel in a seaway, reco
Externí odkaz:
https://doaj.org/article/d7905e5f43704cfc97994a97ffdd12b6
Autor:
Laura Mandolesi, Arianna Polverino, Simone Montuori, Francesca Foti, Giampaolo Ferraioli, Pierpaolo Sorrentino, Giuseppe Sorrentino
Publikováno v:
Frontiers in Psychology, Vol 9 (2018)
Much evidence shows that physical exercise (PE) is a strong gene modulator that induces structural and functional changes in the brain, determining enormous benefit on both cognitive functioning and wellbeing. PE is also a protective factor for neuro
Externí odkaz:
https://doaj.org/article/2df82a13b1214106becf40818c92308b
Autor:
Anna Lardone, Marianna Liparoti, Pierpaolo Sorrentino, Rosaria Rucco, Francesca Jacini, Arianna Polverino, Roberta Minino, Matteo Pesoli, Fabio Baselice, Antonietta Sorriso, Giampaolo Ferraioli, Giuseppe Sorrentino, Laura Mandolesi
Publikováno v:
Neural Plasticity, Vol 2018 (2018)
It has been suggested that the practice of meditation is associated to neuroplasticity phenomena, reducing age-related brain degeneration and improving cognitive functions. Neuroimaging studies have shown that the brain connectivity changes in medita
Externí odkaz:
https://doaj.org/article/754fb13eb5ec4135b13a8a977f851ef7
Publikováno v:
Sensors, Vol 14, Iss 2, Pp 2182-2198 (2014)
Many pathologies can be identified by evaluating differences raised in the physical parameters of involved tissues. In a Magnetic Resonance Imaging (MRI) framework, spin-lattice T1 and spin-spin T2 relaxation time parameters play a major role in such
Externí odkaz:
https://doaj.org/article/0099488eff1844239e747446cb5ad657