Zobrazeno 1 - 10
of 195
pro vyhledávání: '"Claudio TURCHETTI"'
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
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 3, Pp 115-133 (2022)
Real-time semantic segmentation on embedded devices has recently enjoyed significant gain in popularity, due to the increasing interest in smart vehicles and smart robots. In particular, with the emergence of autonomous driving, low latency and compu
Externí odkaz:
https://doaj.org/article/562ca94525f349ccb320b59063008f47
Autor:
Laura Falaschetti, Lorenzo Manoni, Denis Di Leo, Danilo Pau, Valeria Tomaselli, Claudio Turchetti
Publikováno v:
HardwareX, Vol 12, Iss , Pp e00363- (2022)
Identifying diseases from images of plant leaves is one of the most important research areas in precision agriculture. The aim of this paper is to propose an image detector embedding a resource constrained convolutional neural network (CNN) implement
Externí odkaz:
https://doaj.org/article/5ccd5b85761a4c1a808c048c7a893ccd
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
Publikováno v:
IEEE Access, Vol 8, Pp 207112-207133 (2020)
Modeling data generated by physiological systems is a crucial step in many problems such as classification, signal reconstruction and data augmentation. However finding appropriate models from high-dimensional data sampled from biosignals is in gener
Externí odkaz:
https://doaj.org/article/4d2b01bf3fed440480527266bdd03b17
Publikováno v:
IEEE Access, Vol 8, Pp 225240-225257 (2020)
Tensors and multiway analysis aim to explore the relationships between the variables used to represent the data and find a summarization of the data with models of reduced dimensionality. However, although in this context a great attention was devote
Externí odkaz:
https://doaj.org/article/d677494daa5448478a89d8b4da081c9b
Publikováno v:
Data in Brief, Vol 39, Iss , Pp 107538- (2021)
This paper presents a dataset of images generated via 3D graphics rendering. The dataset is composed by pictures of the junction between the high-speed shaft and the external bracket of the power generator inside a wind turbine cabin, in presence and
Externí odkaz:
https://doaj.org/article/2159c0177d74418092b887d33c369a2f
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:
Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, Leonardo Saraceni, Andrea Tiranti, Claudio Turchetti
Publikováno v:
Data in Brief, Vol 29, Iss , Pp - (2020)
We introduce a dataset to provide insights about the photoplethysmography (PPG) signal captured from the wrist in presence of motion artifacts and the accelerometer signal, simultaneously acquired from the same wrist. The data presented were collecte
Externí odkaz:
https://doaj.org/article/a192f1169416417d92e83b4e907c0810
Publikováno v:
BioMedical Engineering OnLine, Vol 17, Iss S1, Pp 1-18 (2018)
Abstract Background The human activity monitoring technology is one of the most important technologies for ambient assisted living, surveillance-based security, sport and fitness activities, healthcare of elderly people. The activity monitoring is pe
Externí odkaz:
https://doaj.org/article/4659fbc5c93f43fb988dd9ec1f9f3fd8