Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Marcello Marconi"'
Autor:
Lorenzo Menculini, Andrea Marini, Massimiliano Proietti, Alberto Garinei, Alessio Bozza, Cecilia Moretti, Marcello Marconi
Publikováno v:
Forecasting, Vol 3, Iss 3, Pp 644-662 (2021)
Setting sale prices correctly is of great importance for firms, and the study and forecast of prices time series is therefore a relevant topic not only from a data science perspective but also from an economic and applicative one. In this paper, we e
Externí odkaz:
https://doaj.org/article/e1279ca1b1404068b3277c43f29cf2e5
Autor:
Luca Petrucci, Federico Bianchi, Lorenzo Scappaticci, Alberto Garinei, Lorenzo Biondi, Marcello Marconi
Publikováno v:
Diagnostyka, Vol 22, Iss 2, Pp 29-37 (2021)
In this work, residual stresses arising after an industrial TIG welding process on an aerospace grade part are investigated. The customer demand for high product resistance and high dimensional accuracy calls for the control of the welding process an
Externí odkaz:
https://doaj.org/article/baf19bf4e49f470cade02a663772df33
Autor:
Federico Bianchi, Stefano Speziali, Andrea Marini, Massimiliano Proietti, Lorenzo Menculini, Alberto Garinei, Gabriele Bellani, Marcello Marconi
Publikováno v:
Sensors, Vol 22, Iss 20, p 7951 (2022)
In this work, we describe in detail how Deep Learning and Computer Vision can help to detect fault events of the AirTender system, an aftermarket motorcycle damping system component. One of the most effective ways to monitor the AirTender functioning
Externí odkaz:
https://doaj.org/article/f949bad39521458bb57658f9408322b9
Publikováno v:
Energies, Vol 9, Iss 11, p 915 (2016)
When dealing with sustainable design concepts in new construction or in retrofitting existing buildings, it is useful to define both economic and environmental performance indicators, in order to select the optimal technical solutions. In most of the
Externí odkaz:
https://doaj.org/article/d17091d25c3b42e290c4d3b327f9c54a
Autor:
Massimiliano Proietti, Andrea Marini, Alberto Garinei, Gianluca Rossi, Federico Bianchi, Marcello Marconi, Silvia Discepolo, Milena Martarelli, Maria Teresa Calcagni, Giacomo Zeni, Paolo Castellini, Stefano Speziali
Publikováno v:
2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor).
Autor:
Andrea Mangeruca, Gianluca Ferrari, Alberto Garinei, Lucia Cisco, Maurizio Sozzi, Marcello Marconi, Massimo Crespi, Andrea Chini, Emanuele Piccioni, Davide Bavera, Giorgio Frigerio
Publikováno v:
2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor).
Autor:
Loris Francesco Termite, Emanuele Bonamente, Alberto Garinei, Daniele Bolpagni, Lorenzo Menculini, Marcello Marconi, Lorenzo Biondi, Andrea Chini, Massimo Crespi
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031170973
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de1ff4c9a69bd5e795b26084912dafe7
https://doi.org/10.1007/978-3-031-17098-0_7
https://doi.org/10.1007/978-3-031-17098-0_7
Autor:
Andrea Marini, Patrizia Mariani, Massimiliano Proietti, Alberto Garinei, Stefania Proietti, Paolo Sdringola, Lorenzo Menculini, Marcello Marconi
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031170973
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef54bd8a7fccf28c4b08e032e3bf5eca
https://doi.org/10.1007/978-3-031-17098-0_1
https://doi.org/10.1007/978-3-031-17098-0_1
Autor:
Iva Xhimitiku, Federico Bianchi, Massimiliano Proietti, Tommaso Tocci, Andrea Marini, Lorenzo Menculini, Loris Francesco Termite, Edvige Pucci, Alberto Garinei, Marcello Marconi, Gianluca Rossi
Publikováno v:
2021 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor).
Autor:
Alessio Bozza, Massimiliano Proietti, Lorenzo Menculini, Cecilia Moretti, Alberto Garinei, Marcello Marconi, Andrea Marini
Publikováno v:
Forecasting
Volume 3
Issue 3
Pages 40-662
Forecasting, Vol 3, Iss 40, Pp 644-662 (2021)
Volume 3
Issue 3
Pages 40-662
Forecasting, Vol 3, Iss 40, Pp 644-662 (2021)
Setting sale prices correctly is of great importance for firms, and the study and forecast of prices time series is therefore a relevant topic not only from a data science perspective but also from an economic and applicative one. In this paper we ex