Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Michele Alessandrini"'
Autor:
Laura Falaschetti, Giorgio Biagetti, Michele Alessandrini, Claudio Turchetti, Simona Luzzi, Paolo Crippa
Publikováno v:
Sensors, Vol 24, Iss 20, p 6721 (2024)
Neurodegenerative diseases severely impact the life of millions of patients worldwide, and their occurrence is more and more increasing proportionally to longer life expectancy. Electroencephalography has become an important diagnostic tool for these
Externí odkaz:
https://doaj.org/article/eb6d3d5659bd4cdb906515e5a0382941
Autor:
Michele Alessandrini, Laura Falaschetti, Giorgio Biagetti, Paolo Crippa, Simona Luzzi, Claudio Turchetti
Publikováno v:
Sensors, Vol 23, Iss 19, p 8039 (2023)
In recent years, the use of electroencephalography (EEG) has grown as a tool for diagnostic and brain function monitoring, being a simple and non-invasive method compared with other procedures like histological sampling. Typically, in order to extrac
Externí odkaz:
https://doaj.org/article/2346a8c506864189837556804ca5da25
Autor:
Michele Alessandrini, Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, Simona Luzzi, Claudio Turchetti
Publikováno v:
Sensors, Vol 22, Iss 10, p 3696 (2022)
The use of electroencephalography (EEG) has recently grown as a means to diagnose neurodegenerative pathologies such as Alzheimer’s disease (AD). AD recognition can benefit from machine learning methods that, compared with traditional manual diagno
Externí odkaz:
https://doaj.org/article/0decc755a956427bb8588bca4d24cb38
Autor:
Laura Falaschetti, Mattia Beccerica, Giorgio Biagetti, Paolo Crippa, Michele Alessandrini, Claudio Turchetti
Publikováno v:
Procedia Computer Science. 207:3948-3956
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d006557352be8adf8f397487dffc447
https://doi.org/10.1016/j.procs.2022.09.457
https://doi.org/10.1016/j.procs.2022.09.457
Publikováno v:
Procedia Computer Science. 207:3479-3487
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cfdb49b5a06ebc7cf0c9b9c15e929d4
https://doi.org/10.1016/j.procs.2022.09.406
https://doi.org/10.1016/j.procs.2022.09.406
Publikováno v:
Electronics; Volume 11; Issue 19; Pages: 3100
System identification (SI) is the discipline of inferring mathematical models from unknown dynamic systems using the input/output observations of such systems with or without prior knowledge of some of the system parameters. Many valid algorithms are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22cf68f7239dd2fe4724d3e83fa1adf6
Autor:
Laura Falaschetti, Giorgio Biagetti, Paolo Crippa, Michele Alessandrini, Di Filippo Giacomo, Claudio Turchetti
Publikováno v:
Intelligent Decision Technologies ISBN: 9789811934438
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1374e2dc50e5c0639aa87f3d6b55e8bd
https://doi.org/10.1007/978-981-19-3444-5_40
https://doi.org/10.1007/978-981-19-3444-5_40
Publikováno v:
Electronics
Volume 10
Issue 14
Electronics, Vol 10, Iss 1715, p 1715 (2021)
Volume 10
Issue 14
Electronics, Vol 10, Iss 1715, p 1715 (2021)
Photoplethysmography (PPG) is a common and practical technique to detect human activity and other physiological parameters and is commonly implemented in wearable devices. However, the PPG signal is often severely corrupted by motion artifacts. The a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fea545e1d0c5eb5f199a3e91e7170ee7
Autor:
Michele Alessandrini, Laura Falaschetti, Claudio Turchetti, Lorenzo Manoni, Giorgio Biagetti, Paolo Crippa
Publikováno v:
Electronics
Volume 10
Issue 1
Electronics, Vol 10, Iss 34, p 34 (2021)
Volume 10
Issue 1
Electronics, Vol 10, Iss 34, p 34 (2021)
Singular value decomposition (SVD) is a central mathematical tool for several emerging applications in embedded systems, such as multiple-input multiple-output (MIMO) systems, data analytics, sparse representation of signals. Since SVD algorithms red
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e1529675675707f45c4c0d36e1ef1c2
Autor:
R. Calero Fuentes Rivera, Claudio Turchetti, Laura Falaschetti, Danilo Pau, Michele Alessandrini, Valeria Tomaselli
Publikováno v:
Data in Brief
Data in Brief, Vol 35, Iss, Pp 106809-(2021)
Data in Brief, Vol 35, Iss, Pp 106809-(2021)
Esca is one of the most common disease that can severely damage grapevine. This disease, if not properly treated in time, is the cause of vegetative stress or death of the attacked plant, with the consequence of losses in production as well as a risi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::286940031329f90f2f39bac2ea15f2b1
https://doi.org/10.1016/j.dib.2021.106809
https://doi.org/10.1016/j.dib.2021.106809