Zobrazeno 1 - 10
of 238
pro vyhledávání: '"eugenio di sciascio"'
NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration
Autor:
Tommaso Colafiglio, Angela Lombardi, Paolo Sorino, Elvira Brattico, Domenico Lofu, Danilo Danese, Eugenio Di Sciascio, Tommaso Di Noia, Fedelucio Narducci
Publikováno v:
IEEE Access, Vol 12, Pp 159296-159315 (2024)
Emotion recognition is crucial in affective computing, aiming to bridge the gap between human emotional states and computer understanding. This study presents NeuroSense, a novel electroencephalography (EEG) dataset utilizing low-cost, sparse electro
Externí odkaz:
https://doaj.org/article/b15772c452d443beb666df42581ca73f
Publikováno v:
Data, Vol 9, Iss 10, p 121 (2024)
Clustering is a very common means of analysis of the data present in large datasets, with the aims of understanding and summarizing the data and discovering similarities, among other goals. However, despite the present success of the use of subsymbol
Externí odkaz:
https://doaj.org/article/2b4973d603f04689b76797718149c8e4
Autor:
Michele Ruta, Floriano Scioscia, Giuseppe Loseto, Agnese Pinto, Corrado Fasciano, Giovanna Capurso, Eugenio Di Sciascio
Publikováno v:
Future Internet, Vol 16, Iss 9, p 327 (2024)
Emerging distributed intelligence paradigms for the Internet of Things (IoT) call for flexible and dynamic reconfiguration of elementary services, resources and devices. In order to achieve such capability, this paper faces complex interoperability a
Externí odkaz:
https://doaj.org/article/2fd4f31da3864f8e92c8d1f34e242746
Publikováno v:
IEEE Open Journal of Vehicular Technology, Vol 4, Pp 921-935 (2023)
Safety and security issues for Critical Infrastructures are growing as attackers adopt drones as an attack vector flying in sensitive airspaces, such as airports, military bases, city centers, and crowded places. Despite the use of UAVs for logistics
Externí odkaz:
https://doaj.org/article/11e1aa77d710442c88b210e9c068f45e
Autor:
Simona Aresta, Ilaria Bortone, Francesco Bottiglione, Tommaso Di Noia, Eugenio Di Sciascio, Domenico Lofù, Mariapia Musci, Fedelucio Narducci, Andrea Pazienza, Rodolfo Sardone, Paolo Sorino
Publikováno v:
Applied Sciences, Vol 12, Iss 23, p 12350 (2022)
Nowadays, modern technology is widespread in sports; therefore, finding an excellent approach to extracting knowledge from data is necessary. Machine Learning (ML) algorithms can be beneficial in biomechanical data management because they can handle
Externí odkaz:
https://doaj.org/article/8e89d78a3d944471beb7d20154f6fa68
Autor:
Giacomo Donato Cascarano, Claudio Loconsole, Antonio Brunetti, Antonio Lattarulo, Domenico Buongiorno, Giacomo Losavio, Eugenio Di Sciascio, Vitoantonio Bevilacqua
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss S9, Pp 1-11 (2019)
Abstract Background Handwriting represents one of the major symptom in Parkinson’s Disease (PD) patients. The computer-aided analysis of the handwriting allows for the identification of promising patterns that might be useful in PD detection and ra
Externí odkaz:
https://doaj.org/article/abaab2aae23e4c0e8265b9f4b88b508e
Publikováno v:
IEEE Access, Vol 7, Pp 166122-166137 (2019)
Recommender Systems are widely adopted in nowadays services such as e-commerce websites, multimedia streaming platforms, and many others. They help users to find what they are looking for by suggesting relevant items leveraging their past preferences
Externí odkaz:
https://doaj.org/article/24af8ce778ed426e98a166e77bd883bb
Autor:
Leonarda Carnimeo, Gianpaolo Francesco Trotta, Antonio Brunetti, Giacomo Donato Cascarano, Domenico Buongiorno, Claudio Loconsole, Eugenio Di Sciascio, Vitoantonio Bevilacqua
Publikováno v:
The Journal of Engineering (2019)
Health care networks for Parkinson's disease (PD) already exist and have been already proposed in the literature, but most of them are not able to analyse the vast volume of data generated from medical examinations and collected and organised in a pr
Externí odkaz:
https://doaj.org/article/d7f9685909bb4fa5a4f14b2ea1dc7ac6
Autor:
Giandomenico Cornacchia, Vito W. Anelli, Fedelucio Narducci, Azzurra Ragone, Eugenio Di Sciascio
Publikováno v:
Annals of Emerging Technologies in Computing. 7:56-64
The financial domain is making huge advancements thanks to the exploitation of artificial intelligence. As an example, the credit-worthiness-assessment task is now strongly based on Machine Learning algorithms that make decisions independently from h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed44845c38b3f8df2d1beacd6dd2e859
https://doi.org/10.33166/aetic.2023.02.005
https://doi.org/10.33166/aetic.2023.02.005
Autor:
Giandomenico Cornacchia, Vito Walter Anelli, Fedelucio Narducci, Azzurra Ragone, Eugenio Di Sciascio
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3615a1e1a8fbc2a3b80fb86b993e776d
https://doi.org/10.1145/3543873.3587354
https://doi.org/10.1145/3543873.3587354