no code implementations • 23 Aug 2021 • Ilyes Mrad, Lutfi Samara, Alaa Awad Abdellatif, Abubakr Al-Abbasi, Ridha Hamila, Aiman Erbad
The usage of unmanned aerial vehicles (UAVs) in civil and military applications continues to increase due to the numerous advantages that they provide over conventional approaches.
no code implementations • 5 Aug 2021 • Alaa Awad Abdellatif, Naram Mhaisen, Zina Chkirbene, Amr Mohamed, Aiman Erbad, Mohsen Guizani
After that, we provide a deep literature review for the applications of RL in I-health systems.
1 code implementation • 14 Jul 2021 • Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani, Zaher Dawy, Wassim Nasreddine
Federated learning (FL) is a distributed learning methodology that allows multiple nodes to cooperatively train a deep learning model, without the need to share their local data.
no code implementations • 4 May 2021 • Emna Baccour, Naram Mhaisen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani
The confluence of pervasive computing and artificial intelligence, Pervasive AI, expanded the role of ubiquitous IoT systems from mainly data collection to executing distributed computations with a promising alternative to centralized learning, presenting various challenges.
no code implementations • 27 Jun 2020 • Alaa Awad Abdellatif, Lutfi Samara, Amr Mohamed, Mohsen Guizani, Aiman Erbad, Abdulla Al-Ali
Rapid evolution of wireless medical devices and network technologies has fostered the growth of remote monitoring systems.