Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Fabiana Zama"'
Autor:
Villiam Bortolotti, Pellegrino Conte, Germana Landi, Paolo Lo Meo, Anastasiia Nagmutdinova, Giovanni Vito Spinelli, Fabiana Zama
Publikováno v:
Computers, Vol 13, Iss 6, p 129 (2024)
Fast-Field-Cycling (FFC) Nuclear Magnetic Resonance (NMR) relaxometry is a powerful, non-destructive magnetic resonance technique that enables, among other things, the investigation of slow molecular dynamics at low magnetic field intensities. FFC-NM
Externí odkaz:
https://doaj.org/article/37f57b800a914a7b81e640c70c212eab
Publikováno v:
Infectious Disease Modelling, Vol 7, Iss 1, Pp 1-15 (2022)
This paper presents a new hybrid compartmental model for studying the COVID-19 epidemic evolution in Italy since the beginning of the vaccination campaign started on 2020/12/27 and shows forecasts of the epidemic evolution in Italy in the first six m
Externí odkaz:
https://doaj.org/article/d9a2ba6fdd58461dbbfdcc0810b2e3a2
Publikováno v:
Journal of Imaging, Vol 9, Iss 11, p 249 (2023)
This work tackles the problem of image restoration, a crucial task in many fields of applied sciences, focusing on removing degradation caused by blur and noise during the acquisition process. Drawing inspiration from the multi-penalty approach based
Externí odkaz:
https://doaj.org/article/9e0164eca0ff4f58b9c613c2c73db3d2
Publikováno v:
SoftwareX, Vol 20, Iss , Pp 101240- (2022)
A great variety of applications requires to process two-dimensional NMR (2DNMR) data to obtain information about the materials properties. In order to face the increasing request for software to easily process 2DNMR data, in (Bortolotti et al. (2019)
Externí odkaz:
https://doaj.org/article/97565e8a5b2147518039e695d16161f1
Autor:
Elena Loli Piccolomini, Fabiana Zama
Publikováno v:
PLoS ONE, Vol 15, Iss 8, p e0237417 (2020)
Due to the recent evolution of the COVID-19 outbreak, the scientific community is making efforts to analyse models for understanding the present situation and for predicting future scenarios. In this paper, we propose a forced Susceptible-Exposed-Inf
Externí odkaz:
https://doaj.org/article/ffe3143423f749a4853a7baf4e088107
Autor:
Guido Fellet, Pellegrino Conte, Villiam Bortolotti, Fabiana Zama, Germana Landi, Delia Francesca Chillura Martino, Vito Ferro, Luca Marchiol, Paolo Lo Meo
Publikováno v:
Agriculture, Vol 12, Iss 3, p 320 (2022)
It is recognized that biochar undergoes changes when it is applied to soils. However, the mechanisms of biochar alterations are not fully understood yet. To this purpose, the present study is designed to investigate the transformations in the soil of
Externí odkaz:
https://doaj.org/article/9adccb2e54a74fa89e789a5f1289722f
Publikováno v:
Journal of Imaging, Vol 7, Iss 2, p 18 (2021)
This paper is concerned with the reconstruction of relaxation time distributions in Nuclear Magnetic Resonance (NMR) relaxometry. This is a large-scale and ill-posed inverse problem with many potential applications in biology, medicine, chemistry, an
Externí odkaz:
https://doaj.org/article/c23ea497b292410fa281ce88c0601860
Autor:
Pasquale Cascarano, Francesco Corsini, Stefano Gandolfi, Elena Loli Piccolomini, Emanuele Mandanici, Luca Tavasci, Fabiana Zama
Publikováno v:
Remote Sensing, Vol 12, Iss 10, p 1642 (2020)
The relatively poor spatial resolution of thermal images is a limitation for many thermal remote sensing applications. A possible solution to mitigate this problem is super-resolution, which should preserve the radiometric content of the original dat
Externí odkaz:
https://doaj.org/article/a452ab1fd53b436cb38a3b82ee0241b9
Autor:
Germana Landi, Fabiana Zama
Publikováno v:
ANNALI DELL'UNIVERSITA' DI FERRARA. 68:465-481
Gibbs ringing is a feature of MR images caused by the finite sampling of the acquisition space (k-space). It manifests itself with ringing patterns around sharp edges which become increasingly significant for low-resolution acquisitions. In this pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd9f848a8bb8798bd9cd74559497e2ad
https://doi.org/10.1007/s11565-022-00431-8
https://doi.org/10.1007/s11565-022-00431-8
Publikováno v:
Infectious Disease Modelling
Infectious Disease Modelling, Vol 7, Iss 1, Pp 1-15 (2022)
Infectious Disease Modelling, Vol 7, Iss 1, Pp 1-15 (2022)
This paper presents a new hybrid compartmental model for studying the COVID -19 epidemic evolution in Italy since the beginning of the vaccination campaign started on 2020/12/27 and shows forecasts of the epidemic evolution in Italy in the first six
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfcc5e05690729ba436ffccdb5a8c3aa
https://pubmed.ncbi.nlm.nih.gov/34786527
https://pubmed.ncbi.nlm.nih.gov/34786527