Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Emanuela Marasco"'
Publikováno v:
Digital, Vol 3, Iss 2, Pp 137-145 (2023)
AI-empowered sweat metabolite analysis is an emerging and open research area with great potential to add a third category to biometrics: chemical. Current biometrics use two types of information to identify humans: physical (e.g., face, eyes) and beh
Externí odkaz:
https://doaj.org/article/224d7598918e45338e90637d2fea3352
Autor:
Emanuela Marasco, Anudeep Vurity
Publikováno v:
Applied Sciences, Vol 12, Iss 22, p 11409 (2022)
Finger photo recognition represents a promising touchless technology that offers portable and hygienic authentication solutions in smartphones, eliminating physical contact. Public spaces, such as banks and staff-less stores, benefit from contactless
Externí odkaz:
https://doaj.org/article/e860716299494845a483b6b42a6a957b
Autor:
Emanuela Marasco, Massimiliano Albanese, Venkata Vamsi Ram Patibandla, Anudeep Vurity, Sumanth Sai Sriram
Publikováno v:
SECURITY AND PRIVACY. 6
Publikováno v:
SN Computer Science. 3
Publikováno v:
2022 7th International Conference on Machine Learning Technologies (ICMLT).
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031113451
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efb13d33a4dff175430420b6457af703
https://doi.org/10.1007/978-3-031-11346-8_31
https://doi.org/10.1007/978-3-031-11346-8_31
Autor:
Emanuela Marasco, Anudeep Vurity
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811610851
CVIP (1)
CVIP (1)
Fingerprint-based authentication has been successfully adopted in a wide range of applications, including law enforcement and immigration, due to its numerous advantages over traditional password-based authentication. However, despite the usability a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e37d2f0bc60a19f13d8e2c5539d6f9dc
https://doi.org/10.1007/978-981-16-1086-8_44
https://doi.org/10.1007/978-981-16-1086-8_44
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811610851
CVIP (1)
CVIP (1)
The challenge of understanding how automated tools might introduce bias has gained a lot of interest. If biases are not interpreted and solved, algorithms might reinforce societal discrimination and injustices. It is also not clear how to measure fai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a08a76edfebfed11ffa80aa8096686e8
https://doi.org/10.1007/978-981-16-1086-8_30
https://doi.org/10.1007/978-981-16-1086-8_30