Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Roberto, Cuccu"'
Autor:
Roberto Cuccu, Vasileios Baousis, Umberto Modigliani, Charalampos Kominos, Xavier Abellan, Roope Tervo
The European Centre for Medium-Range Weather Forecasts (ECMWF) together with the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) have worked together to offer to their Member States a new paradigm to access and cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::946b5f7df22e8084d49093a248eb7a23
https://doi.org/10.5194/egusphere-egu23-12539
https://doi.org/10.5194/egusphere-egu23-12539
Predicting WNV Circulation in Italy Using Earth Observation Data and Extreme Gradient Boosting Model
Autor:
Luca Candeloro, Carla Ippoliti, Federica Iapaolo, Federica Monaco, Daniela Morelli, Roberto Cuccu, Pietro Fronte, Simone Calderara, Stefano Vincenzi, Angelo Porrello, Nicola D’Alterio, Paolo Calistri, Annamaria Conte
Publikováno v:
Remote Sensing, Vol 12, Iss 18, p 3064 (2020)
West Nile Disease (WND) is one of the most spread zoonosis in Italy and Europe caused by a vector-borne virus. Its transmission cycle is well understood, with birds acting as the primary hosts and mosquito vectors transmitting the virus to other bird
Externí odkaz:
https://doaj.org/article/4d2e538bc4b94124ac89200e6839eeec
Autor:
Claudio De Luca, Roberto Cuccu, Stefano Elefante, Ivana Zinno, Michele Manunta, Valentina Casola, Giancarlo Rivolta, Riccardo Lanari, Francesco Casu
Publikováno v:
Remote Sensing, Vol 7, Iss 11, Pp 15630-15650 (2015)
This paper presents a web tool for the unsupervised retrieval of Earth’s surface deformation from Synthetic Aperture Radar (SAR) satellite data. The system is based on the implementation of the Differential SAR Interferometry (DInSAR) algorithm ref
Externí odkaz:
https://doaj.org/article/7285082066b3460998843d4514b5c88b
Autor:
Massimiliano Bergallo, Stefano Bonamin, Ilaria Galliano, Paola Montanari, Valentina Daprà, Clara Gabiano, Roberto Cuccu
Publikováno v:
Minerva Pediatrics. 74
Background Human parechovirus (HPeVs), along with human enteroviruses are associated with gastrointestinal and respiratory infections. The aim of this study was to assess the performance characteristics of two nucleic acid extraction for HPeV-RNA qua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52b8ad39a899ac456adb116646a52a72
https://doi.org/10.23736/s2724-5276.18.04977-0
https://doi.org/10.23736/s2724-5276.18.04977-0
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 58:7908-7919
An anomaly detection and estimation technique, using a pixel-based modified version of the Kalman temporal filter, is presented. To detect the anomalies of the observed variable, the proposed Kalman-based anomaly masking (KAM) algorithm relies on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d89d8a008d5c867fb19067853fd75fb8
https://doi.org/10.1109/tgrs.2020.2985011
https://doi.org/10.1109/tgrs.2020.2985011
Predicting WNV Circulation in Italy Using Earth Observation Data and Extreme Gradient Boosting Model
Autor:
F. Iapaolo, Roberto Cuccu, Simone Calderara, Federica Monaco, Daniela Morelli, Pietro Fronte, Stefano Vincenzi, Paolo Calistri, Luca Candeloro, Nicola D'Alterio, Annamaria Conte, Carla Ippoliti, Angelo Porrello
Publikováno v:
Remote Sensing, Vol 12, Iss 3064, p 3064 (2020)
Remote Sensing; Volume 12; Issue 18; Pages: 3064
Remote Sensing; Volume 12; Issue 18; Pages: 3064
West Nile Disease (WND) is one of the most spread zoonosis in Italy and Europe caused by a vector-borne virus. Its transmission cycle is well understood, with birds acting as the primary hosts and mosquito vectors transmitting the virus to other bird
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ba3580980cc7577e689fb2f6821c7e2
https://www.mdpi.com/2072-4292/12/18/3064
https://www.mdpi.com/2072-4292/12/18/3064
Autor:
Roberto Cuccu, Pietro Fronte, Stefano Vincenzi, Pietro Buzzega, Simone Calderara, Marco Cipriano, Carla Ippoliti, Annamaria Conte, Angelo Porrello
Publikováno v:
ICPR
The recent growth in the number of satellite images fosters the development of effective deep-learning techniques for Remote Sensing (RS). However, their full potential is untapped due to the lack of large annotated datasets. Such a problem is usuall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::face04a71f762cf4bd51bf8ccee2ba28
Autor:
Massimiliano, Bergallo, Valentina, Daprà, Marco, Rassu, Stefano, Bonamin, Roberto, Cuccu, Cristina, Calvi, Paola, Montanari, Ilaria, Galliano
Publikováno v:
Intervirology. 61(1)
Human Salivirus (SalV) has been associated with gastroenteritis on all continents.This paper presents the real-time RT-PCR assay for the detection of SalV in clinical fecal samples collected from 192 hospitalized children with acute gastroenteritis i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::e3a7a2860b77f51fc0697ec41c122e10
https://pubmed.ncbi.nlm.nih.gov/30021210
https://pubmed.ncbi.nlm.nih.gov/30021210
Publikováno v:
IGARSS
A multispectral temporal-based remote sensing technique based on a modified Kalman filter is presented for clear-air detection by using Geostationary visible-infrared radiometric passive measurements. The Kalman estimate relies on a model of the dail
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb67b00e68dda6f541226cba84d7e2c8
http://hdl.handle.net/11573/1353420
http://hdl.handle.net/11573/1353420
Autor:
Roberto Cuccu, Giancarlo Rivolta, Marco Chini, Patrick Matgen, Ramona Pelich, J. Manuel Delgado, Mattia Marconcini, Giovanni Sabatino
Publikováno v:
MultiTemp
The ESA Research and Service Support (RSS) offers services to enable the Earth Observation (EO) data exploitation. RSS users are Principal Investigators, institutions and SMEs needing support to progress in their research and/or development activity.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::926a471e742610d6c404d396d927cb65
https://doi.org/10.1109/multi-temp.2017.8035241
https://doi.org/10.1109/multi-temp.2017.8035241