1 citations · 1 across the 4 of their papers we have counts for
5 papers
Dependability of Sensor Networks for Industrial Prognostics and Health Management
Wiem Elghazel, Jacques M. Bahi, Christophe Guyeux +3
Maintenance is an important activity in industry. It is performed either to revive a machine/component or to prevent it from breaking down. Different strategies have evolved throug…
Random Forests for Industrial Device Functioning Diagnostics Using Wireless Sensor Networks
Wiem Elghazel, Kamal Medjaher, Nourredine Zerhouni +4
In this paper, random forests are proposed for operating devices diagnostics in the presence of a variable number of features. In various contexts, like large or difficult-to-acces…
Using an epidemiological approach to maximize data survival in the internet of things
Abdallah Makhoul, Christophe Guyeux, Mourad Hakem +1
The internet of things (IoT) has gained worldwide attention in recent years. It transforms the everyday objects that surround us into proactive actors of the Internet, generating a…
Epidemiological Approach for Data Survivability in Unattended Wireless Sensor Networks
Jacques M. Bahi, Christophe Guyeux, Mourad Hakem +1
Unattended Wireless Sensor Networks (UWSNs) are Wireless Sensor Networks characterized by sporadic sink presence and operation in hostile settings. The absence of the sink for peri…
Resiliency in Distributed Sensor Networks for PHM of the Monitoring Targets
Jacques Bahi, Wiem Elghazel, Christophe Guyeux +4
In condition-based maintenance, real-time observations are crucial for on-line health assessment. When the monitoring system is a wireless sensor network, data loss becomes highly…