Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Lamia Ben Amor"'
Autor:
Adane Mamuye, Araya Mesfin Nigatu, Moges Asressie Chanyalew, Lamia Ben Amor, Sihem Loukil, Chris Moyo, Samuel Quarshie, Konstantinos Antypas, Binyam Tilahun
Publikováno v:
JMIR Formative Research, Vol 7, p e41487 (2023)
BackgroundDespite the widely anticipated benefits of eHealth technologies in enhancing health care service delivery, the sustainable usage of eHealth in transitional countries remains low. There is limited evidence supporting the low sustainable adop
Externí odkaz:
https://doaj.org/article/749382d691354f7180345720dd8f7266
Publikováno v:
Energies, Vol 15, Iss 15, p 5744 (2022)
This paper uses two competing machine learning models, namely the Support Vector Regression (SVR) and the eXtreme Gradient Boosting (XGBoost) against the Autoregressive Integrated Moving Average ARIMAX (p,d,q) model to identify their predictive perfo
Externí odkaz:
https://doaj.org/article/d785f7e0c6264a69bb18cfa9cc8ec34e
Autor:
Lamia Ben Amor, Sami Hammami
Publikováno v:
Recycling, Vol 7, Iss 1, p 1 (2022)
Over the past fifteen years, numerous policies for recycling and recovering waste have been implemented throughout the world. Tunisia is among the countries considering recycling as a sustainable development path. This empirical study aimed to invest
Externí odkaz:
https://doaj.org/article/f43baf335bf84073a6490c984810a063
Publikováno v:
Annals of Operations Research.
Autor:
Adane Mamuye, Araya Mesfin Nigatu, Moges Asressie Chanyalew, Lamia Ben Amor, Sihem Loukil, Chris Moyo, Samuel Quarshie, Konstantinos Antypas, Binyam Tilahun
BACKGROUND Despite the widely anticipated benefits of eHealth technologies in enhancing health care service delivery, the sustainable usage of eHealth in transitional countries remains low. There is limited evidence supporting the low sustainable ado
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::247dd8071b484b38b60add355568699f
https://doi.org/10.2196/preprints.41487
https://doi.org/10.2196/preprints.41487
Publikováno v:
Computers in Industry. 97:54-66
This paper proposes a new approach for online detection and isolation of inaccurate vital sign measurements in mobile healthcare applications. Our primary objective is to distinguish between inaccurate measurement and patient health degradation to re
Publikováno v:
Expert Systems. 37
Publikováno v:
AINA
Mobile healthcare applications highly depend on healthcare data, which is collected from wearable or implantable sensors. However, sensor readings may be inaccurate due to resource-constrained devices, sensor misplacement, patient with smearing, and
Publikováno v:
2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications (DS-RT).
Autor:
Sami Hammami, Lamia Ben Amor
Publikováno v:
International Journal of Waste Resources.
This study analyses the effects of several waste management policies on recycling rate of hazardous industrial waste such as used lube oils by using country-level temporal data for Tunisian Company of Lubricants (TCL) from 1980-2015. The examined pol