Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Carmelo Pino"'
Autor:
Francesco Rundo, Sabrina Conoci, Sebastiano Battiato, Carmelo Pino, Massimo Villari, Angelo Genovese, Stefanos Kollias, Konstantinos N. Plataniotis
Publikováno v:
Frontiers in Computer Science, Vol 5 (2023)
Externí odkaz:
https://doaj.org/article/498bfa405d4b464fb1898fe88eaad76d
Autor:
Riccardo Emanuele Sarpietro, Carmelo Pino, Salvatore Coffa, Angelo Messina, Simone Palazzo, Sebastiano Battiato, Concetto Spampinato, Francesco Rundo
Publikováno v:
IEEE Access, Vol 10, Pp 99102-99128 (2022)
The recent increasing demand of Silicon-on-Chip devices has triggered a significant impact on the industrial processes of leading semiconductor companies. The semiconductor industry is redesigning internal technology processes trying to optimize cost
Externí odkaz:
https://doaj.org/article/738ef84e130b40d2a6484d2bdcaee316
Autor:
Rita Barone, Concetto Spampinato, Carmelo Pino, Filippo Palermo, Anna Scuderi, Anna Zavattieri, Mariangela Gulisano, Daniela Giordano, Renata Rizzo
Publikováno v:
PLoS ONE, Vol 14, Iss 2, p e0211802 (2019)
BACKGROUND:Word comprehension across semantic categories is a key area of language development. Using online automated eye-tracking technology to reduce response demands during a word comprehension test may be advantageous in children with autism spe
Externí odkaz:
https://doaj.org/article/11588219f24640989206d32141ce5362
Autor:
Francesco Rundo, Salvatore Coffa, Michele Calabretta, Riccardo Emanuele Sarpietro, Angelo Messina, Carmelo Pino, Simone Palazzo, Concetto Spampinato
Publikováno v:
2022 AEIT International Annual Conference (AEIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1542f5da1be08c7bf80fa6653b0f1770
https://doi.org/10.23919/aeit56783.2022.9951783
https://doi.org/10.23919/aeit56783.2022.9951783
Autor:
Rayees Ahmad Bhat, Concetta Saoca, Francesca Arfuso, Carmelo Pino, Enrico D’Alessandro, Alessandro Zumbo, Francesco Fazio, Osman Sabri Kesbiç
The purpose of this study was to examine various lipid classes as well as the protein content in rainbow trout ovaries. A total of 80 samples of Oncorhynchus mykiss (Walbaum 1792) were collected from Kokernag and Verinag hatcheries (Jammu and Kashmir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b26f075ecc870d3a97a4d176f6ac1034
https://hdl.handle.net/11570/3247993
https://hdl.handle.net/11570/3247993
Autor:
Matteo Pennisi, Federica Proietto Salanitri, Simone Palazzo, Carmelo Pino, Francesco Rundo, Daniela Giordano, Concetto Spampinato
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031185229
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5597cfb18c6fb199fb86af296dca36bf
https://doi.org/10.1007/978-3-031-18523-6_7
https://doi.org/10.1007/978-3-031-18523-6_7
Autor:
Carmelo Pino, G. Tudisco, Milena Benedettini, Renato Sortino, S. Leurini, Marco Molinaro, Ugo Becciani, Cristobal Bordiu, M. Raciti, Fabio Vitello, Filomena Bufano, D. Magro, Eva Sciacca, Simone Riggi
Publikováno v:
Astronomy and Computing
Innovative developments in data processing, archiving, analysis, and visualization are nowadays unavoidable to deal with the data deluge expected in next-generation facilities for radio astronomy, such as the Square Kilometre Array (SKA) and its prec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c48bf964c0b0de31a04eafeb5383e41
This chapter combines traditional artificial intelligence (AI) concepts, i.e., computational ontologies, with more recent trends, i.e., deep learning for content-based semantic retrieval in Cultural Heritage. More specifically, the proposed AI-empowe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fae932ed228633eed7694befcde1a0e
http://hdl.handle.net/20.500.11769/373943
http://hdl.handle.net/20.500.11769/373943
Publikováno v:
BHI
Video Capsule Endoscopy (VCE) is a diagnostic imaging technology, based on capsule with a built-in camera, that enables screening of the gastro-intestinal tract by reducing the invasiveness of traditional endoscopy procedures. Despite VCE has been de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fa129c5d7ee35e2cc24ce12f25e995d
http://hdl.handle.net/20.500.11769/373619
http://hdl.handle.net/20.500.11769/373619
Autor:
Mubarak Shah, Francesca Murabito, Carmelo Pino, Concetto Spampinato, Simone Palazzo, Daniela Giordano, Francesco Rundo
Publikováno v:
Pattern Recognition. 112:107806
In the last decade, deep learning models have yielded impressive performance on visual object recognition and image classification. However these methods still rely on learning visual data distributions and show difficulties in dealing with complex s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e9c9d777c6f08d528af31c27c1595da
https://doi.org/10.1016/j.patcog.2020.107806
https://doi.org/10.1016/j.patcog.2020.107806