Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Said, Ahmed Ben"'
Autor:
Ayedi, Mohamaed Foued, Salem, Hiba Ben, Hammami, Soulaimen, Said, Ahmed Ben, Jabbar, Rateb, CHabbouh, Achraf
Publikováno v:
5th Deep Learning Indaba Conference (DLI 2023)
Existing fashion recommendation systems encounter difficulties in using visual data for accurate and personalized recommendations. This research describes an innovative end-to-end pipeline that uses artificial intelligence to provide fine-grained vis
Externí odkaz:
http://arxiv.org/abs/2311.09624
Autor:
Hamdi, Rami, Said, Ahmed Ben, Baccour, Emna, Erbad, Aiman, Mohamed, Amr, Hamdi, Mounir, Guizani, Mohsen
Publikováno v:
IEEE Internet of Things Journal, 2023
Remote monitoring systems analyze the environment dynamics in different smart industrial applications, such as occupational health and safety, and environmental monitoring. Specifically, in industrial Internet of Things (IoT) systems, the huge number
Externí odkaz:
http://arxiv.org/abs/2305.01953
Policy Planning have the potential to contribute to the strategic development and economic diversification of developing countries even without considerable structural changes. In this study, we analyzed a set of human-oriented dimensions aimed at im
Externí odkaz:
http://arxiv.org/abs/2111.08333
In this paper, the deployment of federated learning (FL) is investigated in an energy harvesting wireless network in which the base station (BS) employs massive multiple-input multiple-output (MIMO) to serve a set of users powered by independent ener
Externí odkaz:
http://arxiv.org/abs/2106.08809
Autor:
Said, Ahmed Ben, Erradi, Abdelkarim
Effective management of urban traffic is important for any smart city initiative. Therefore, the quality of the sensory traffic data is of paramount importance. However, like any sensory data, urban traffic data are prone to imperfections leading to
Externí odkaz:
http://arxiv.org/abs/2103.08323
Autor:
Ayadi, Safa, said, Ahmed ben, Jabbar, Rateb, Aloulou, Chafik, Chabbouh, Achraf, Achballah, Ahmed Ben
Publikováno v:
International Workshop on Distributed Computing for Emerging Smart Networks. Springer, Cham, 2020
Cattle activity is an essential index for monitoring health and welfare of the ruminants. Thus, changes in the livestock behavior are a critical indicator for early detection and prevention of several diseases. Rumination behavior is a significant va
Externí odkaz:
http://arxiv.org/abs/2101.10445
To reduce the impact of COVID-19 pandemic most countries have implemented several counter-measures to control the virus spread including school and border closing, shutting down public transport and workplace and restrictions on gathering. In this re
Externí odkaz:
http://arxiv.org/abs/2009.05481
Background: To assist policy makers in taking adequate decisions to stop the spread of COVID-19 pandemic, accurate forecasting of the disease propagation is of paramount importance. Materials and Methods: This paper presents a deep learning approach
Externí odkaz:
http://arxiv.org/abs/2009.12325
Autor:
Said, Ahmed Ben, Erradi, Abdelkarim
Mobile crowdsourcing has become easier thanks to the widespread of smartphones capable of seamlessly collecting and pushing the desired data to cloud services. However, the success of mobile crowdsourcing relies on balancing the supply and demand by
Externí odkaz:
http://arxiv.org/abs/1911.07625
Publikováno v:
PATTERN.ANAL.APPL. 20 (2015) 21-31
Cluster validity indexes are very important tools designed for two purposes: comparing the performance of clustering algorithms and determining the number of clusters that best fits the data. These indexes are in general constructed by combining a me
Externí odkaz:
http://arxiv.org/abs/1812.08891