Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Andrea Albarelli"'
Publikováno v:
Artificial Intelligence in Agriculture, Vol 7, Iss , Pp 44-57 (2023)
Fruit is a key crop in worldwide agriculture feeding millions of people. The standard supply chain of fruit products involves quality checks to guarantee freshness, taste, and, most of all, safety. An important factor that determines fruit quality is
Externí odkaz:
https://doaj.org/article/c5632314950a440599ad04d58b7c510b
Publikováno v:
IEEE Access, Vol 10, Pp 86578-86623 (2022)
Research on recommendation systems is swiftly producing an abundance of novel methods, constantly challenging the current state-of-the-art. Inspired by advancements in many related fields, like Natural Language Processing and Computer Vision, many hy
Externí odkaz:
https://doaj.org/article/feac5f2c944146199b9365a578c2382e
Autor:
Mara Pistellato, Filippo Bergamasco, Gianluca Bigaglia, Andrea Gasparetto, Andrea Albarelli, Marco Boschetti, Roberto Passerone
Publikováno v:
Sensors, Vol 23, Iss 10, p 4667 (2023)
Over the past few years, several applications have been extensively exploiting the advantages of deep learning, in particular when using convolutional neural networks (CNNs). The intrinsic flexibility of such models makes them widely adopted in a var
Externí odkaz:
https://doaj.org/article/42a4e4b1a0c9408eb6eb3cdc2fc0cf1b
Publikováno v:
PLoS ONE, Vol 17, Iss 7, p e0270904 (2022)
Text Classification methods have been improving at an unparalleled speed in the last decade thanks to the success brought about by deep learning. Historically, state-of-the-art approaches have been developed for and benchmarked against English datase
Externí odkaz:
https://doaj.org/article/0e1aef4d4ad24cc6a4f1ceecfb88a3ca
Publikováno v:
Information, Vol 13, Iss 2, p 83 (2022)
In recent years, the exponential growth of digital documents has been met by rapid progress in text classification techniques. Newly proposed machine learning algorithms leverage the latest advancements in deep learning methods, allowing for the auto
Externí odkaz:
https://doaj.org/article/649eb6b7224d4dd7ad8718607cf363fe
In recent years, the exponential growth of digital documents has been met by rapid progress in text classification techniques. Newly proposed machine learning algorithms leverage the latest advancements in deep learning methods, allowing for the auto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19b51860268855d7b14da78842e595f9
https://hdl.handle.net/10278/5017704
https://hdl.handle.net/10278/5017704
Autor:
Carlo Bagnoli, Andrea Albarelli, Stefano Biazzo, Gianluca Biotto, Giuseppe Roberto Marseglia, Maurizio Massaro, Matilde Messina, Antonella Muraro, Luca Troiano
Publikováno v:
Digital Business Models for Industry 4.0 ISBN: 9783030972837
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0246fdcc2ced61e68b7f0492fff2b82e
https://doi.org/10.1007/978-3-030-97284-4_1
https://doi.org/10.1007/978-3-030-97284-4_1
Autor:
Carlo Bagnoli, Andrea Albarelli, Stefano Biazzo, Gianluca Biotto, Giuseppe Roberto Marseglia, Maurizio Massaro, Matilde Messina, Antonella Muraro, Luca Troiano
Publikováno v:
Digital Business Models for Industry 4.0 ISBN: 9783030972837
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63802ee06a0d084c3c3be56a8f5d9907
https://doi.org/10.1007/978-3-030-97284-4_5
https://doi.org/10.1007/978-3-030-97284-4_5
Autor:
Carlo Bagnoli, Andrea Albarelli, Stefano Biazzo, Gianluca Biotto, Giuseppe Roberto Marseglia, Maurizio Massaro, Matilde Messina, Antonella Muraro, Luca Troiano
Publikováno v:
Digital Business Models for Industry 4.0 ISBN: 9783030972837
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e894dafa1d2b369e5099d8f443261d12
https://doi.org/10.1007/978-3-030-97284-4_2
https://doi.org/10.1007/978-3-030-97284-4_2