Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Hamdi Amroun"'
Publikováno v:
Array, Vol 15, Iss , Pp 100187- (2022)
The world of fluid mechanics is increasingly generating a large amount of data, thanks to the use of numerical simulation techniques. This offers interesting opportunities for incorporating machine learning methods to solve data-related problems such
Externí odkaz:
https://doaj.org/article/1bac03c310ea4dffa5465bad1623a4b0
Publikováno v:
IEEE Access, Vol 9, Pp 163391-163411 (2021)
In this paper, we present a new approach to use machine learning (ML) for the calibration of a physical model allowing the reproduction of the vibratory behavior of an overhead line conductor. This physical model known as Strip Theory (ST) has the ad
Externí odkaz:
https://doaj.org/article/6e6d33d0c55c47fd8ee22227e0dcd37a
Autor:
Youness El Marhraoui, Hamdi Amroun, Mehdi Boukallel, Margarita Anastassova, Sylvie Lamy, Stéphane Bouilland, Mehdi Ammi
Publikováno v:
Computers, Vol 11, Iss 5, p 58 (2022)
Identifying the foot stance and foot swing phases, also known as foot-to-ground (FTG) detection, is a branch of Human Activity Recognition (HAR). Our study aims to detect two main phases of the gait (i.e., foot-off and foot-contact) corresponding to
Externí odkaz:
https://doaj.org/article/d5d00252b4064e54a15d00568b6ad369
Autor:
Hamdi Amroun, Mehdi Ammi
Publikováno v:
IEEE Access, Vol 6, Pp 7112-7122 (2018)
This paper deals with the authentication of the user of a connected object. We propose a flexible and nonintrusive method based on the use of two categories of everyday connected objects (i.e., smart watch and remote control). Data were collected dur
Externí odkaz:
https://doaj.org/article/c82f238684964242a8db5db8ce8dd8cb
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
WF-IoT
This paper presents a 3-step system that estimates the real-time energy expenditure of an individual in a non-intrusive way. First, using the user's smart-phone's sensors, we build a Decision Tree model to recognize his physical activity (\textit{run
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fa912b5b757b82593c7de2950e286c3
http://arxiv.org/abs/2009.03681
http://arxiv.org/abs/2009.03681
Publikováno v:
Challenges of the Internet of Things
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::715189c23344ea255a3911ff6459019f
https://doi.org/10.1002/9781119549765.ch3
https://doi.org/10.1002/9781119549765.ch3
Publikováno v:
Challenges of the Internet of Things
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fff90c6d9c49249b34d26c696f868251
https://doi.org/10.1002/9781119549765.ch2
https://doi.org/10.1002/9781119549765.ch2
Publikováno v:
iThings/GreenCom/CPSCom/SmartData
This paper presents a new platform to monitor stroke patients activities during their everyday life at home. This platform is intended to be a part of a smart objects ecosystem for home monitoring using common objects embedding sensors. The monitorin
Publikováno v:
WF-IoT
This paper presents a platform prototype to monitor alcohol consumption for festival's attendees. The platform also aims to raise awareness about alcohol consumption in order to help people control or even reduce their alcohol consumption. The platfo