Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Duc Phuc Nguyen"'
Autor:
Bastien Lechat, Ganesh Naik, Sarah Appleton, Jack Manners, Hannah Scott, Duc Phuc Nguyen, Pierre Escourrou, Robert Adams, Peter Catcheside, Danny J. Eckert
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-8 (2024)
Abstract Snoring may be a risk factor for cardiovascular disease independent of other co-morbidities. However, most prior studies have relied on subjective, self-report, snoring evaluation. This study assessed snoring prevalence objectively over mult
Externí odkaz:
https://doaj.org/article/665c6e59780141d69bffd1a3354aec3b
Publikováno v:
IEEE Access, Vol 11, Pp 29062-29073 (2023)
With the successful development of deep learning, single image super-resolution (SISR) has advanced significantly in recent years. However, in practice, excessive convolutions limit super-resolution applications on platforms with limited resources li
Externí odkaz:
https://doaj.org/article/734c3cf3490b4dd6af7ef561d397bb39
Autor:
Bastien Lechat, Hannah Scott, Ganesh Naik, Kristy Hansen, Duc Phuc Nguyen, Andrew Vakulin, Peter Catcheside, Danny J. Eckert
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Current approaches to quantify and diagnose sleep disorders and circadian rhythm disruption are imprecise, laborious, and often do not relate well to key clinical and health outcomes. Newer emerging approaches that aim to overcome the practical and t
Externí odkaz:
https://doaj.org/article/835ef379352a4afa8bb8a7bb133ab3dd
Akademický článek
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Akademický článek
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Publikováno v:
Journal of Low Frequency Noise, Vibration and Active Control, Vol 39 (2020)
Survey results have shown that many respondents report to be annoyed by vibration, which they attribute to a wind farm. The aim of this work is to explore wind turbine vibration characteristics and evaluate its effects on humans. The vibration was me
Externí odkaz:
https://doaj.org/article/a1eb16abfb8e47c0b8f71d60c14dcc6d
Investigation on Perceptual-Aware Optimization for Single Image Super Resolution on Embedded Systems
Deep learning has been introduced to single-image super-resolution (SISR) in the last decade. These techniques have taken over the benchmarks of SISR tasks. Nevertheless, most architectural designs necessitate substantial computational resources, lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afa3f5f3cc5e691c1ce18a27e58fb11c
https://doi.org/10.20944/preprints202305.1282.v1
https://doi.org/10.20944/preprints202305.1282.v1
Autor:
Bastien Lechat, Ganesh Naik, Sarah Appleton, Jack Manners, Hannah Scott, Duc Phuc Nguyen, Pierre Escourrou, Robert Adams, Peter Catcheside, Danny J Eckert
BackgroundSnoring may be a risk factor for cardiovascular disease and stroke. However, most prior studies have relied on subjective snoring evaluation from self-reports, or relatively short time-scale objective measures in small samples. This study a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33fba11f418a34e7773e44423738b535
https://doi.org/10.1101/2023.03.02.23286654
https://doi.org/10.1101/2023.03.02.23286654
Publikováno v:
IEEE Photonics Technology Letters. 34:309-312
We propose a probabilistic shaping approach for region-of-interest signaling, where a low-rate signal controls the desired probabilistic ranges of a high-rate data stream using a flexible distribution controller. In addition, we introduce run-length-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6d68e10d0a7c68a1a84ec65d284424d
https://doi.org/10.1109/lpt.2022.3152798
https://doi.org/10.1109/lpt.2022.3152798
Autor:
Trong Nguyen Huynh, Duc Phuc Nguyen
Publikováno v:
Tạp chí Khoa học Điều dưỡng. 5:84-92
Objectives: To identify nursing care and some related factors on patients with tonsillectomy in An Giang eye - ear nose throat - dental hospital. Method: A cross-sectional study was conducted on 157 patients with tonsillectomy. Results: The nursing f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e7fcaeb0e80cf740505efa3f1299da3
https://doi.org/10.54436/jns.2022.1.403
https://doi.org/10.54436/jns.2022.1.403