Joseph Azar

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 19

Top Topics

Intrusion Detection

Data Compression

Sensor Networks

Top Venues

Future Gener. Comput. Syst.

Publications

Serge Sandakly, Charbel Salem, Khalil Challita, Shuvalaxmi Dass, Joseph Azar, Jacques Bou Abdo, Jacques Demerjian
XorshiftH128+: A hybrid random number generator for lightweight IoT. AIBThings (2023)
Jacques M. Bahi, Raphaël Couturier, Joseph Azar, Kevin Kana Nguimfack
Distributed Training of Deep Neural Networks: Convergence and Case Study. ICONIP (8) (2023)
Mohammad Ali Nemer, Joseph Azar, Abdallah Makhoul, Julien Bourgeois
Lightweight Feature-based Priority Sampling for Industrial IoT Multivariate Time Series. AICCSA (2023)
Suzan Hajj, Joseph Azar, Jacques Bou Abdo, Jacques Demerjian, Christophe Guyeux, Abdallah Makhoul, Dominique Ginhac
Cross-Layer Federated Learning for Lightweight IoT Intrusion Detection Systems. Sensors 23 (16) (2023)
Suzan Hajj, Joseph Azar, Jacques Bou Abdo, Jacques Demerjian, Abdallah Makhoul, Dominique Ginhac
Cross-layer Federated Heterogeneous Ensemble Learning for Lightweight IoT Intrusion Detection System. DSAA (2023)
Hassan N. Noura, Joseph Azar, Ola Salman, Raphaël Couturier, Kamel Mazouzi
A deep learning scheme for efficient multimedia IoT data compression. Ad Hoc Networks 138 (2023)
Hassan N. Noura, Raphaël Couturier, Joseph Azar, Mohamad Moussa, Ola Salman
An Efficient and Robust MIoT Communication Solution using a Deep Learning Approach. IWCMC (2022)
Gaby Bou Tayeh, Joseph Azar, Abdallah Makhoul, Christophe Guyeux, Jacques Demerjian
On the performance of data-driven approaches for energy efficiency on WiFi and LoRa-based sensors: an experimental study. IWCMC (2022)
Hassan Noura, Joseph Azar, Raphaël Couturier, Ola Salman
A Novel Lightweight and Robust Source-Channel Coding Solution for MIoT Communication Based on DL Denoising/Super Resolution Model. SITIS (2022)
Mohammad Ali Nemer, Joseph Azar, Jacques Demerjian, Abdallah Makhoul, Julien Bourgeois
A Review of Research on Industrial Time Series Classification for Machinery based on Deep Learning. MENACOMM (2022)
Joseph Azar, Gaby Bou Tayeh, Abdallah Makhoul, Raphaël Couturier
Efficient Lossy Compression for IoT Using SZ and Reconstruction with 1D U-Net. Mob. Networks Appl. 27 (3) (2022)
Joseph Azar, Abdallah Makhoul, Raphaël Couturier, Jacques Demerjian
Deep recurrent neural network-based autoencoder for photoplethysmogram artifacts filtering. Comput. Electr. Eng. 92 (2021)
Joseph Azar, Abdallah Makhoul, Raphaël Couturier, Jacques Demerjian
Robust IoT time series classification with data compression and deep learning. Neurocomputing 398 (2020)
Gaby Bou Tayeh, Joseph Azar, Abdallah Makhoul, Christophe Guyeux, Jacques Demerjian
A Wearable LoRa-Based Emergency System for Remote Safety Monitoring. IWCMC (2020)
Joseph Azar, Abdallah Makhoul, Raphaël Couturier
Using DenseNet for IoT multivariate time series classification. ISCC (2020)
Joseph Azar, Abdallah Makhoul, Mahmoud Barhamgi, Raphaël Couturier
An energy efficient IoT data compression approach for edge machine learning. Future Gener. Comput. Syst. 96 (2019)
Joseph Azar, Rony Darazi, Carol Habib, Abdallah Makhoul, Jacques Demerjian
Using DWT Lifting Scheme for Lossless Data Compression in Wireless Body Sensor Networks. IWCMC (2018)
Joseph Azar, Abdallah Makhoul, Rony Darazi, Jacques Demerjian, Raphaël Couturier
On the performance of resource-aware compression techniques for vital signs data in wireless body sensor networks. MENACOMM (2018)
Joseph Azar, Carol Habib, Rony Darazi, Abdallah Makhoul, Jacques Demerjian
Using Adaptive Sampling and DWT Lifting Scheme for Efficient Data Reduction in Wireless Body Sensor Networks. WiMob (2018)