Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Francesco Tortorella"'
Autor:
Claudio Marrocco, Alessandro Bria, Francesco Tortorella, Sara Parrilli, Luca Cicala, Mariano Focareta, Giuseppe Meoli, Mario Molinara
Publikováno v:
IEEE Access, Vol 12, Pp 79585-79601 (2024)
This paper presents an innovative approach for detecting illegal microdumps using very high-resolution optical satellite imagery, addressing a significant environmental monitoring challenge in Campania, Italy. Due to the regional vulnerability to ill
Externí odkaz:
https://doaj.org/article/25649996939641098c440ec3c8eccb6c
Publikováno v:
Sensors, Vol 23, Iss 3, p 1229 (2023)
Convolutional Neural Networks (CNN) have received a large share of research in mammography image analysis due to their capability of extracting hierarchical features directly from raw data. Recently, Vision Transformers are emerging as viable alterna
Externí odkaz:
https://doaj.org/article/c3c29fe8418e42bb92b0ac1d9b433e07
Autor:
Federica Kiyomi Ciliberti, Lorena Guerrini, Arnar Evgeni Gunnarsson, Marco Recenti, Deborah Jacob, Vincenzo Cangiano, Yonatan Afework Tesfahunegn, Anna Sigríður Islind, Francesco Tortorella, Mariella Tsirilaki, Halldór Jónsson, Paolo Gargiulo, Romain Aubonnet
Publikováno v:
Diagnostics, Vol 12, Iss 2, p 279 (2022)
For the observation of human joint cartilage, X-ray, computed tomography (CT) or magnetic resonance imaging (MRI) are the main diagnostic tools to evaluate pathologies or traumas. The current work introduces a set of novel measurements and 3D feature
Externí odkaz:
https://doaj.org/article/7611a1e2f0a94b369dabe37f9bcb2b4d
Autor:
Zakia Khatun, Mariella Tsirilaki, Alessia Lindemann, Francesco Tortorella, Nicola Maffulli, Halldor Jonsson, Paolo Gargiulo
Publikováno v:
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::852fb9356d95b41dbfd1c71160e9ba90
https://doi.org/10.1109/metroxraine54828.2022.9967653
https://doi.org/10.1109/metroxraine54828.2022.9967653
Autor:
Gennaro Percannella, Umberto Petruzzello, Pierluigi Ritrovato, Leonardo Rundo, Francesco Tortorella, Mario Vento
Publikováno v:
2022 26th International Conference on Pattern Recognition (ICPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::228805165bd3bc9c3bb4c678e60832dc
https://doi.org/10.1109/icpr56361.2022.9956212
https://doi.org/10.1109/icpr56361.2022.9956212
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6762c554ff93c8dcf2c9608888064a8d
https://doi.org/10.2139/ssrn.4162288
https://doi.org/10.2139/ssrn.4162288
Publikováno v:
Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030687625
ICPR Workshops (1)
ICPR Workshops (1)
Brain-Computer Interfaces (BCI) based on motor imagery translate mental motor images recognized from the electroencephalogram (EEG) to control commands. EEG patterns of different imagination tasks, e.g. hand and foot movements, are effectively classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef5e104eaeaf128fa3ee976dc91c4eeb
http://hdl.handle.net/11580/91939
http://hdl.handle.net/11580/91939
Publikováno v:
Pattern Recognition Letters
Highlights • A review about the use and evolution of IoT solutions in smart health care is presented. • The work discusses the role of AI in the Internet of Medical Things context. • Particular attention is given to solutions and approaches exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d9513d3da12560c1a4a91410b7b3eab
https://pubmed.ncbi.nlm.nih.gov/32406416
https://pubmed.ncbi.nlm.nih.gov/32406416
Deep learning methods utilizing Convolutional Neural Networks (CNNs) have led to dramatic advances in automated understanding of medical images. However, in many medical image classification tasks, lesions occupy only a few pixels of the image. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60a6fd24c8bc2728edad2afe54733645
http://hdl.handle.net/11580/76676
http://hdl.handle.net/11580/76676