Zobrazeno 1 - 10
of 3 984
pro vyhledávání: '"E, Paoletti"'
Autor:
F.D. Amaro, E. Baracchini, L. Benussi, S. Bianco, C. Capoccia, M. Caponero, D.S. Cardoso, G. Cavoto, A. Cortez, I.A. Costa, G. D'Imperio, E. Dané, G. Dho, F. Di Giambattista, E. Di Marco, F. Iacoangeli, H.P. Lima Júnior, G.S.P. Lopes, G. Maccarrone, R.D.P. Mano, R.R. Marcelo Gregorio, D.J.G. Marques, G. Mazzitelli, A.G. McLean, A. Messina, C.M.B. Monteiro, R.A. Nobrega, I.F. Pains, E. Paoletti, L. Passamonti, F. Petrucci, S. Piacentini, D. Piccolo, D. Pierluigi, D. Pinci, A. Prajapati, F. Renga, R. J.d.C. Roque, F. Rosatelli, A. Russo, G. Saviano, N.J.C. Spooner, R. Tesauro, S. Tomassini, S. Torelli, J.M.F. dos Santos
Publikováno v:
Physics Letters B, Vol 855, Iss , Pp 138759- (2024)
CYGNO is an international collaboration with the aim of operating a Image 3 optical time projection chamber (TPC) for directional Dark Matter (DM) searches and solar neutrino spectroscopy, to be deployed at the Laboratori Nazionali del Gran Sasso (LN
Externí odkaz:
https://doaj.org/article/9428b7f7b3584a4e92ba56dad48a0157
Publikováno v:
Il Foro Italiano, 1877 Jan 01. 2, 461/462-461/462.
Externí odkaz:
https://www.jstor.org/stable/23084215
Publikováno v:
Il Foro Italiano, 1886 Jan 01. 11, 977/978-979/980.
Externí odkaz:
https://www.jstor.org/stable/23092063
Autor:
Juan M. Haut, Sergio Moreno-Alvarez, Rafael Pastor-Vargas, Ambar Perez-Garcia, Mercedes E. Paoletti
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2461-2474 (2024)
Spectral indices are of fundamental importance in providing insights into the distinctive characteristics of oil spills, making them indispensable tools for effective action planning. The normalized difference oil index (NDOI) is a reliable metric an
Externí odkaz:
https://doaj.org/article/ff804793ae3a48298e7fb0d024b3695b
Publikováno v:
Future Internet, Vol 16, Iss 9, p 342 (2024)
With the rapid advancement of the Internet of Things and the emergence of 6G networks in smart city environments, a growth in the generation of data, commonly known as big data, is expected to consequently lead to higher latency. To mitigate this lat
Externí odkaz:
https://doaj.org/article/a68597ffdbe24418a644059158d8794f
Autor:
Mercedes E. Paoletti, Oscar Mogollon-Gutierrez, Sergio Moreno-Alvarez, Jose Carlos Sancho, Juan M. Haut
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 5297-5314 (2023)
Land-cover classification is an important topic for remotely sensed hyperspectral (HS) data exploitation. In this regard, HS classifiers have to face important challenges, such as the high spectral redundancy, as well as noise, present in the data, a
Externí odkaz:
https://doaj.org/article/016b030572ee4482ab7bc55dc9d79519
Publikováno v:
IEEE Access, Vol 11, Pp 47552-47562 (2023)
Circular statistics have been developed and used in a wide range of branches of knowledge related to the study and observation of the Earth, such as physical, geographical, ecological, and biological sciences. Both to facilitate its use by a less spe
Externí odkaz:
https://doaj.org/article/37738d6df7ef484fb9a131e2336e7f0a
Autor:
Xuanwen Tao, Mercedes E. Paoletti, Lirong Han, Zhaoyue Wu, Peng Ren, Javier Plaza, Antonio Plaza, Juan M. Haut
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6999-7012 (2022)
Hyperspectral unmixing extracts pure spectral constituents (endmembers) and their corresponding abundance fractions from remotely sensed scenes. Most traditional hyperspectral unmixing methods require the results of other endmember extraction algorit
Externí odkaz:
https://doaj.org/article/250e5fb8993a4651a8d009eb6f8615c5
Publikováno v:
SciPost Physics Proceedings, Iss 12, p 019 (2023)
The CYGNO project for the development of a high precision optical readout gaseous TPC for directional Dark Matter search and solar neutrino spectroscopy will be presented. It is to be hosted at Laboratori Nazionali del Gran Sasso. CYGNO peculiar feat
Externí odkaz:
https://doaj.org/article/839e1fabd4a04d71b818028db9c4590b
Autor:
Alejandro Redondo, Juan M. Haut, Mercedes E. Paoletti, Xuanwen Tao, Javier Plaza, Antonio Plaza
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 3026-3039 (2021)
During the past decades, the volume of big data available in remote sensing (RS) applications has grown significantly. In addition, a number of applications related to monitoring human activity are being developed based on this kind of data. This has
Externí odkaz:
https://doaj.org/article/ef10f45f9a2544efb6a86a4cab5ecc18