Zobrazeno 1 - 10
of 212
pro vyhledávání: '"Ciravegna, F"'
Autor:
Lanfranchi, V., Jones, N., Read, J., Fegan, C., Field, R., Simpson, E., Revitt, C., Cudd, P., Ciravegna, F.
Publikováno v:
Journal of Medical Engineering & Technology. 46:536-546
Telehealth has long been highlighted as a way to solve issues of efficiency and effectiveness in healthcare and to improve patients’ care and has become fundamental to address patients’ needs during the COVID-19 pandemic; however previous studies
Autor:
Williams, GJ, Al-Baraikan, A, Rademakers, FE, Ciravegna, F, Van de Vosse, FN, Lawrie, A, Rothman, A, Ashley, EA, Wilkins, MR, Lawford, PV, Omholt, SW, Wisløff, U, Hose, DR, Chico, TJA, Gunn, JP, Morris, PD
Publikováno v:
e476
e467
e467
The past decade has seen a dramatic rise in consumer technologies able to monitor a variety of cardiovascular parameters. Such devices initially recorded markers of exercise, but now include physiological and health-care focused measurements. The pub
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::368ac71b92e2674a514d69e23858aa79
http://hdl.handle.net/10044/1/105244
http://hdl.handle.net/10044/1/105244
Autor:
Marcianò, V., Bertuletti, S., Bonci, T., Mazzà, C., Ireson, N., Ciravegna, F., Del Din, S., Gazit, E., Cereatti, A.
Publikováno v:
In Gait & Posture October 2022 97 Supplement 2
Recent deep learning technique has shown a strong ability of performing automatic feature learning and outperformed models fitting on hand-crafted features in HAR, but their performance heavily replies on large amount of labelling data. In this paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::ff25bd890799a5ced416abf2012caa57
https://eprints.whiterose.ac.uk/182071/1/TII-Deep-Learning-PA-Accepted.pdf
https://eprints.whiterose.ac.uk/182071/1/TII-Deep-Learning-PA-Accepted.pdf
Publikováno v:
Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 2009 Jun . 367(1897), 2507-2519.
Externí odkaz:
https://www.jstor.org/stable/40485597
Publikováno v:
IEEE Access
In this paper, we present a Bluetooth Low Energy (BLE) based indoor positioning system developed for monitoring the daily living pattern of old people (e.g. people living with dementia) or individuals with disabilities. The proposed sensing system is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::6a7f9cd8544a86ef6bdfcfc7aabf08e4
Publikováno v:
Scopus-Elsevier
Early rumor detection (ERD) on social media platform is very challenging when limited, incomplete and noisy information is available. Most of the existing methods have largely worked on event-level detection that requires the collection of posts rele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b73c535517582ef381bf5ed68081d67
https://hdl.handle.net/2318/1892603
https://hdl.handle.net/2318/1892603
Akademický článek
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The essence of a city is its citizens and communities. A city’s infrastructure and associated services play a vital role in citizens' day-to-day living and their overall quality of life. Traditionally, services are deployed in a top-down approach w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e440e76e4f86500cdae4f57b4107d928
https://shura.shu.ac.uk/18903/2/479-2416-1-PB.pdf
https://shura.shu.ac.uk/18903/2/479-2416-1-PB.pdf
Akademický článek
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