Using DWT Lifting Scheme for Lossless Data Compression in Wireless Body Sensor Networks. - Joseph Azar; Rony Darazi; Carol Habib; Abdallah Makhoul; Jacques Demerjian (IWCMC, 2018)

On the performance of resource-aware compression techniques for vital signs data in wireless body sensor networks. - Joseph Azar; Abdallah Makhoul; Rony Darazi; Jacques Demerjian; Raphaël Couturier (MENACOMM, 2018)

Using Adaptive Sampling and DWT Lifting Scheme for Efficient Data Reduction in Wireless Body Sensor Networks. - Joseph Azar; Carol Habib; Rony Darazi; Abdallah Makhoul; Jacques Demerjian (WiMob, 2018)

An energy efficient IoT data compression approach for edge machine learning. - Joseph Azar; Abdallah Makhoul; Mahmoud Barhamgi; Raphaël Couturier (Future Gener. Comput. Syst., 2019)

Using DenseNet for IoT multivariate time series classification. - Joseph Azar; Abdallah Makhoul; Raphaël Couturier (ISCC, 2020)

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

Robust IoT time series classification with data compression and deep learning. - Joseph Azar; Abdallah Makhoul; Raphaël Couturier; Jacques Demerjian (Neurocomputing, 2020)

Compression de données et apprentissage en profondeur pour les applications de santé IoT basées sur des signaux physiologiques. (Data compression and deep learning for IoT healthcare applications based on physiological signals). - Joseph Azar (2020)

Deep recurrent neural network-based autoencoder for photoplethysmogram artifacts filtering. - Joseph Azar; Abdallah Makhoul; Raphaël Couturier; Jacques Demerjian (Comput. Electr. Eng., 2021)

An Efficient and Robust MIoT Communication Solution using a Deep Learning Approach. - Hassan N. Noura; Raphaël Couturier; Joseph Azar; Mohamad Moussa; Ola Salman (IWCMC, 2022)

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)

A Review of Research on Industrial Time Series Classification for Machinery based on Deep Learning. - Mohammad Ali Nemer; Joseph Azar; Jacques Demerjian; Abdallah Makhoul; Julien Bourgeois (MENACOMM, 2022)

A Novel Lightweight and Robust Source-Channel Coding Solution for MIoT Communication Based on DL Denoising/Super Resolution Model. - Hassan Noura 001; Joseph Azar; Raphaël Couturier; Ola Salman (SITIS, 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)

XorshiftH128+: A hybrid random number generator for lightweight IoT. - Serge Sandakly; Charbel Salem; Khalil Challita; Shuvalaxmi Dass; Joseph Azar; Jacques Bou Abdo; Jacques Demerjian (AIBThings, 2023)

Lightweight Feature-based Priority Sampling for Industrial IoT Multivariate Time Series. - Mohammad Ali Nemer; Joseph Azar; Abdallah Makhoul; Julien Bourgeois (AICCSA, 2023)

Cross-layer Federated Heterogeneous Ensemble Learning for Lightweight IoT Intrusion Detection System. - Suzan Hajj; Joseph Azar; Jacques Bou Abdo; Jacques Demerjian; Abdallah Makhoul; Dominique Ginhac (DSAA, 2023)

Distributed Training of Deep Neural Networks: Convergence and Case Study. - Jacques M. Bahi; Raphaël Couturier; Joseph Azar; Kevin Kana Nguimfack (ICONIP (8), 2023)

A deep learning scheme for efficient multimedia IoT data compression. - Hassan N. Noura; Joseph Azar; Ola Salman; Raphaël Couturier; Kamel Mazouzi (Ad Hoc Networks, 2023)

Cross-Layer Federated Learning for Lightweight IoT Intrusion Detection Systems. - Suzan Hajj; Joseph Azar; Jacques Bou Abdo; Jacques Demerjian; Christophe Guyeux; Abdallah Makhoul; Dominique Ginhac (Sensors, 2023)

A Review of Early Time Series Classification Methods on Machinery Dataset. - Mohammad Ali Nemer; Joseph Azar; Abdallah Makhoul; Julien Bourgeois (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2024)

Lightweight Image Crypto-Compression Using Haar Transform and Selective Encryption for Grayscale IoT Images. - Joseph Azar; Hassan N. Noura; Raphaël Couturier (IWCMC, 2024)

Leveraging AI for Enhanced Semantic Interoperability in IoT: Insights from NER Models. - Mohammad Ali Nemer; Joseph Azar; Abdallah Makhoul; Julien Bourgeois (IWCMC, 2024)

Cybersecurity in Smart Renewable Energy Systems. - Jean-Paul A. Yaacoub; Hassan N. Noura; Joseph Azar; Ola Salman; Khaled Chahine (IWCMC, 2024)

Dust Detection on Solar Panels Using DINOv2 with Multi-Head Self-Attention. - Ahmed Hamdi; Hassan N. Noura; Joseph Azar (IWCMC, 2025)

Frugal Object Detection Models: Solutions, Challenges and Future Directions. - Ahmed Hamdi; Hassan N. Noura; Joseph Azar; Guy Pujolle (IWCMC, 2025)

Federated Sampling for Privacy-Preserving and Efficient Data Sharing in IoT Networks. - Joseph Azar; Mohammad Abdullah Tahir; Jacques Bou Abdo; Jacques Demerjian; Nadine Akkari (MENACOMM, 2025)

A Lightweight Neural Network Model Based on Response-Based and Feature-Based Cross-Modal Knowledge Distillation for Image Classification Applications. - Ahmed Hamdi; Joseph Azar; Hassan Noura 001 (MENACOMM, 2025)

Evaluating Transformer Architectures for Fault Detection in Industry 4.0: A Multivariate Time Series Classification Approach. - Mohamed Al Hamed; Mohammad Ali Nemer; Joseph Azar; Abdallah Makhoul; Julien Bourgeois (MENACOMM, 2025)

Efficient lightweight image compression approach for Multimedia Internet of Things. - Sara Kadhum Idrees; Raphaël Couturier; Joseph Azar; Ali Kadhum Idrees; Franck Gechter (MENACOMM, 2025)

SZ4IoT: an adaptive lightweight lossy compression algorithm for diverse IoT devices and data types. - Sara Kadhum Idrees; Joseph Azar; Raphaël Couturier; Ali Kadhum Idrees; Franck Gechter (J. Supercomput., 2025)