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pro vyhledávání: '"Ghézala, Henda"'
Deep learning-based disease diagnosis applications are essential for accurate diagnosis at various disease stages. However, using personal data exposes traditional centralized learning systems to privacy concerns. On the other hand, by positioning pr
Externí odkaz:
http://arxiv.org/abs/2308.14017
Publikováno v:
VINE Journal of Information and Knowledge Management Systems, 2022, Vol. 54, Issue 5, pp. 1039-1061.
Randomly Initialized Convolutional Neural Network for the Recognition of COVID-19 using X-ray Images
By the start of 2020, the novel coronavirus disease (COVID-19) has been declared a worldwide pandemic. Because of the severity of this infectious disease, several kinds of research have focused on combatting its ongoing spread. One potential solution
Externí odkaz:
http://arxiv.org/abs/2105.08199
Autor:
Atitallah, Safa Ben, Driss, Maha, Boulila, Wadii, Koubaa, Anis, Atitallah, Nesrine, Ghézala, Henda Ben
Recently, Convolutional Neural Networks (CNNs) have made a great performance for remote sensing image classification. Plant recognition using CNNs is one of the active deep learning research topics due to its added-value in different related fields,
Externí odkaz:
http://arxiv.org/abs/2105.04430
Autor:
Maalel, Ahmed, Ghézala, Henda Ben
Publikováno v:
Procedia Computer Science 164 193,198 (2019)
The coordination and cooperation of all the stakeholders involved is a decisive point for the control and the resolution of problems. In the insecurity events, the resolution should refer to a plan that defines a general framework of the procedures t
Externí odkaz:
http://arxiv.org/abs/2003.07096
Publikováno v:
In Internet of Things October 2023 23
Publikováno v:
In The Journal of Systems & Software March 2023 197
Autor:
BenSassi, Manel, Ghezala, Henda Ben
Publikováno v:
In Procedia Computer Science 2023 225:3123-3132
Publikováno v:
In Procedia Computer Science 2023 219:713-719
Publikováno v:
In Procedia Computer Science 2022 196:348-355