A new autonomous data transmission reduction method for wireless sensors networks. - Gaby Bou Tayeh; Abdallah Makhoul; Jacques Demerjian; David Laiymani (MENACOMM, 2018)

A distributed real-time data prediction and adaptive sensing approach for wireless sensor networks. - Gaby Bou Tayeh; Abdallah Makhoul; David Laiymani; Jacques Demerjian (Pervasive Mob. Comput., 2018)

A Spatial-Temporal Correlation Approach for Data Reduction in Cluster-Based Sensor Networks. - Gaby Bou Tayeh; Abdallah Makhoul; Charith Perera; Jacques Demerjian (IEEE Access, 2019)

Introducing and Comparing Recent Clustering Methods for Massive Data Management in the Internet of Things. - Christophe Guyeux; Stéphane Chrétien; Gaby Bou Tayeh; Jacques Demerjian; Jacques M. Bahi (J. Sens. Actuator Networks, 2019)

A Wearable LoRa-Based Emergency System for Remote Safety Monitoring. - Gaby Bou Tayeh; Joseph Azar; Abdallah Makhoul; Christophe Guyeux; Jacques Demerjian (IWCMC, 2020)

Fault tolerant data transmission reduction method for wireless sensor networks. - Gaby Bou Tayeh; Abdallah Makhoul; Jacques Demerjian; Christophe Guyeux; Jacques M. Bahi (World Wide Web, 2020)

Internet des objets et intelligence artificielle pour les pompiers de demain. (Towards smart firefighting using the internet of things and machine learning). - Gaby Bou Tayeh (2020)

A Personal LPWAN Remote Monitoring System. - Gaby Bou Tayeh; Christophe Guyeux; Abdallah Makhoul; Jacques M. Bahi; Sébastien Freidig (IWCMC, 2021)

On the performance of data-driven approaches for energy efficiency on WiFi and LoRa-based sensors: an experimental study. - Gaby Bou Tayeh; Joseph Azar; Abdallah Makhoul; Christophe Guyeux; Jacques Demerjian (IWCMC, 2022)

Efficient Lossy Compression for IoT Using SZ and Reconstruction with 1D U-Net. - Joseph Azar; Gaby Bou Tayeh; Abdallah Makhoul; Raphaël Couturier (Mob. Networks Appl., 2022)

Using data science to predict firemen interventions: a case study. - Christophe Guyeux; Gaby Bou Tayeh; Abdallah Makhoul; Stéphane Chrétien; Julien Bourgeois; Jacques M. Bahi (J. Supercomput., 2023)