Engineering IoT Healthcare Applications: Towards a Semantic Data Driven Sustainable Architecture. - Rita Zgheib; Emmanuel Conchon; Rémi Bastide (eHealth 360°, 2016)

A Flexible Architecture for Cognitive Sensing of Activities in Ambient Assisted Living. - Rita Zgheib; Antonio De Nicola 001; Maria Luisa Villani; Emmanuel Conchon; Rémi Bastide (WETICE, 2017)

SeMoM, a semantic middleware for IoT healthcare applications. (SeMoM, middleware sémantique pour les applications de santé baséees sur l'internet des objets). - Rita Zgheib (2017)

Semantic Middleware Architectures for IoT Healthcare Applications. - Rita Zgheib; Emmanuel Conchon; Rémi Bastide (Enhanced Living Environments, 2019)

Feature selection for intrusion detection systems. - Firuz Kamalov; Sherif Moussa; Rita Zgheib; Omar Mashaal (ISCID, 2020)

Comparative analysis of activation functions in neural networks. - Firuz Kamalov; Amril Nazir; Murodbek Safaraliev; Aswani Kumar Cherukuri; Rita Zgheib (ICECS, 2021)

Diagnosing COVID-19 on Limited Data: A Comparative Study of Machine Learning Methods. - Rita Zgheib; Firuz Kamalov; Ghazar Chahbandarian; Osman El Labban (ICIC (2), 2021)

Neural Networks Architecture for COVID-19 Early Detection. - Rita Zgheib; Ghazar Chahbandarian; Firuz Kamalov; Osman El Labban (ISNCC, 2021)

A scalable semantic framework for IoT healthcare applications. - Rita Zgheib; Stein Kristiansen; Emmanuel Conchon; Thomas Plagemann; Vera Goebel; Rémi Bastide (J. Ambient Intell. Humaniz. Comput., 2023)

Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19. - Rita Zgheib; Ghazar Chahbandarian; Firuz Kamalov; Haythem El-Messiry; Ahmed Al-Gindy (Neurocomputing, 2023)