Joseph Azar FEMTO-ST · UMLP

Publications

Journal articles, conference papers and book chapters. For citation counts, see my Google Scholar profile.

Showing 49 of 49.

2026

  1. Journal article

    A reproducible, leakage-free pipeline for censored demand forecasting and inventory optimization on FreshRetailNet-50K

    J. Azar

    Inventions 11(5), 89

  2. Journal article

    Adaptive Federated Baseline K-Means for Lightweight IoT Intrusion Detection: Auto-Thresholding and Robust Statistics Aggregation

    M. A. Saleh, J. Azar

    IoT 7(3), 67

  3. Journal article

    A Novel IoT Security Framework Combining X25519 with NIST Lightweight Ascon Encryption and Hybrid Transform-Domain Steganography

    M. Al Saleh, R. Shbaro, J. Azar

    Telecom 7(2), 40

  4. Conference paper

    Leveraging Mono-Modal Data to Generate Multimodal Representations for Industrial Anomaly Detection

    C. El Achkar, A. Makhoul, J. Azar

    IEEE 50th Annual Computers, Software, and Applications Conference (COMPSAC)

  5. Conference paper

    EHALEYO: Edge AI-Based High-Accuracy, Lightweight, Enhanced YOLOv11 for Real-Time Small UAV Detection in Complex Environments

    A. K. Idrees, S. K. Idrees, J. Azar, R. Couturier, F. Gechter, R. Schuster

    International Wireless Communications and Mobile Computing (IWCMC), 894–899

  6. Conference paper

    How Well Can Vision-Language Models Interpret ECGs? A Multi-Model and Multi-Representation Investigation of Zero-Shot Arrhythmia Classification

    K. Du, J. Azar, J. Yan, R. Couturier

    6th International Conference on Computer, Control and Robotics (ICCCR)

  7. Conference paper

    Zero-Shot ECG Arrhythmia Classification from Waveform Images: An Experimental Study with Vision-Language Models

    J. Azar, R. Couturier, K. Du, J. Yan

    6th Middle East and North Africa Communications Conference (MENACOMM), 1–6

  8. Conference paper

    Adaptive First-Person Shooter: Real-Time Game Difficulty Adjustment Based on Player Stress Levels

    G. Chaiban, N. Moussa, B. Zahraman, J. Azar

    6th Middle East and North Africa Communications Conference (MENACOMM), 1–6

  9. Conference paper

    Fine-Tuning and Agentic Workflows for Lebanese Arabizi Understanding and Generation

    A. Abdullah, A. Amine, H. Bazzi, M. Khalife, J. Azar, R. Couturier

    6th Middle East and North Africa Communications Conference (MENACOMM), 1–6

2025

  1. Journal article

    A Multi-Teacher Knowledge Distillation Framework with Aggregation Techniques for Lightweight Deep Models

    A. Hamdi, H. N. Noura, J. Azar

    Applied System Innovation 8(5), 146

  2. Journal article

    Deep learning-based approach to automated monitoring of defects and soiling on solar panels

    A. Hamdi, H. N. Noura, J. Azar

    Future Internet 17(10), 433

  3. Journal article

    Text mining and unsupervised deep learning for intrusion detection in smart-grid communication networks

    J. Azar, M. Al Saleh, R. Couturier, H. Noura

    IoT 6(2), 22

  4. Journal article

    SZ4IoT: an adaptive lightweight lossy compression algorithm for diverse IoT devices and data types

    S. Kadhum Idrees, J. Azar, R. Couturier, A. Kadhum Idrees, F. Gechter

    The Journal of Supercomputing 81(2), 392

  5. Conference paper

    LiLoCA: Lightweight Lossy Compression Approach for Edge-Enabled Multimedia IoT Applications

    S. K. Idrees, A. K. Idrees, R. Couturier, J. Azar, R. Schuster, F. Gechter

    15th International Conference on the Internet of Things

  6. Conference paper

    Frugal object detection models: solutions, challenges and future directions

    A. Hamdi, H. Noura, J. Azar, G. Pujolle

    International Wireless Communications and Mobile Computing (IWCMC)

  7. Conference paper

    Dust Detection on Solar Panels Using DINOv2 with Multi-Head Self-Attention

    A. Hamdi, H. Noura, J. Azar

    International Wireless Communications and Mobile Computing (IWCMC)

  8. Conference paper

    Efficient lightweight image compression approach for Multimedia Internet of Things

    S. K. Idrees, R. Couturier, J. Azar, A. K. Idrees, F. Gechter

    5th IEEE Middle East and North Africa Communications Conference (MENACOMM)

  9. Conference paper

    Evaluating Transformer Architectures for Fault Detection in Industry 4.0: A Multivariate Time Series Classification Approach

    M. Al Hamed, M. A. Nemer, J. Azar, A. Makhoul, J. Bourgeois

    5th IEEE Middle East and North Africa Communications Conference (MENACOMM)

  10. Conference paper

    A lightweight neural network model based on response-based and feature-based cross-modal knowledge distillation for image classification applications

    A. Hamdi, J. Azar, H. Noura

    5th IEEE Middle East and North Africa Communications Conference (MENACOMM)

  11. Conference paper

    Federated Sampling for Privacy-Preserving and Efficient Data Sharing in IoT Networks

    J. Azar, M. A. Tahir, J. B. Abdo, J. Demerjian, N. Akkari

    5th IEEE Middle East and North Africa Communications Conference (MENACOMM)

2024

  1. Conference paper

    A review of early time series classification methods on machinery dataset

    M. A. Nemer, J. Azar, A. Makhoul, J. Bourgeois

    IEEE International Conferences on Internet of Things (iThings)

  2. Conference paper

    Lightweight Image Crypto-Compression Using Haar Transform and Selective Encryption for Grayscale IoT Images

    J. Azar, H. Noura, R. Couturier

    International Wireless Communications and Mobile Computing (IWCMC), 969–974

  3. Conference paper

    Leveraging AI for Enhanced Semantic Interoperability in IoT: Insights from NER Models

    M. A. Nemer, J. Azar, A. Makhoul, J. Bourgeois

    International Wireless Communications and Mobile Computing (IWCMC)

  4. Conference paper

    Cybersecurity in smart renewable energy systems

    J. P. Yaacoub, H. Noura, J. Azar, O. Salman, K. Chahine

    International Wireless Communications and Mobile Computing (IWCMC)

  5. Book chapter

    Informations, enjeux et stratégies pour l’accessibilité des logements intelligents et temporaires aux personnes à mobilité réduite

    Y. Lamsaougar, T. Hulin, F. Tajariol, J. Azar

    BIM computationnel, des données vers l’IA. Ingénierie & architecture

2023

  1. Journal article

    Cross-layer federated learning for lightweight IoT intrusion detection systems

    S. Hajj, J. Azar, J. Bou Abdo, J. Demerjian, C. Guyeux, A. Makhoul, D. Ginhac

    Sensors 23(16), 7038

  2. Journal article

    A deep learning scheme for efficient multimedia IoT data compression

    H. N. Noura, J. Azar, O. Salman, R. Couturier, K. Mazouzi

    Ad Hoc Networks 138, 102998

  3. Conference paper

    Home automation system with IoT stack and ChatGPT for people with reduced mobility

    J. Azar, T. Khoury, A. Makhoul, R. Couturier

    IEEE 4th International Multidisciplinary Conference on Engineering Technology (IMCET)

  4. Conference paper

    Lightweight feature-based priority sampling for industrial IoT multivariate time series

    M. A. Nemer, J. Azar, A. Makhoul, J. Bourgeois

    20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA)

  5. Conference paper

    Distributed training of deep neural networks: Convergence and case study

    J. M. Bahi, R. Couturier, J. Azar, K. K. Nguimfack

    International Conference on Neural Information Processing (ICONIP), 490–503

  6. Conference paper

    Cross-layer federated heterogeneous ensemble learning for lightweight IoT intrusion detection system

    S. Hajj, J. Azar, J. B. Abdo, J. Demerjian, A. Makhoul, D. Ginhac

    IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA)

  7. Conference paper

    XorshiftH128+: A hybrid random number generator for lightweight IoT

    S. Sandakly, C. Salem, K. Challita, S. Dass, J. Azar, J. B. Abdo, J. Demerjian

    IEEE International Conference on Artificial Intelligence, Blockchain and IoT

2022

  1. Journal article

    Efficient lossy compression for IoT using SZ and reconstruction with 1D U-Net

    J. Azar, G. B. Tayeh, A. Makhoul, R. Couturier

    Mobile Networks and Applications 27(3), 984–996

  2. Conference paper

    A review of research on industrial time series classification for machinery based on deep learning

    M. A. Nemer, J. Azar, J. Demerjian, A. Makhoul, J. Bourgeois

    4th IEEE Middle East and North Africa Communications Conference (MENACOMM)

  3. Conference paper

    Détection d’anomalies pour les réseaux smart-grids basée sur un autoencodeur LSTM

    J. Azar, Y. Laarouchi, F. Bouzon, R. Couturier

    Conference on Artificial Intelligence for Defense (CAID)

  4. Conference paper

    A Novel Lightweight and Robust Source-Channel Coding Solution for MIoT Communication Based on DL Denoising/Super Resolution Model

    H. Noura, J. Azar, R. Couturier, O. Salman

    16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)

  5. Conference paper

    On the performance of data-driven approaches for energy efficiency on WiFi and LoRa-based sensors: an experimental study

    G. B. Tayeh, J. Azar, A. Makhoul, C. Guyeux, J. Demerjian

    International Wireless Communications and Mobile Computing (IWCMC), 883–888

  6. Conference paper

    An efficient and robust MIoT communication solution using a deep learning approach

    H. Noura, R. Couturier, J. Azar, M. Moussa, O. Salman

    International Wireless Communications and Mobile Computing (IWCMC), 366–371

  7. Book chapter

    Deep Learning for IoT-Healthcare Based on Physiological Signals

    J. Azar, R. Couturier

    5G Impact on Biomedical Engineering, 167–184

2021

  1. Journal article

    Deep recurrent neural network-based autoencoder for photoplethysmogram artifacts filtering

    J. Azar, A. Makhoul, R. Couturier, J. Demerjian

    Computers & Electrical Engineering 92, 107065

  2. Conference paper

    An efficient IoT data compression approach with reconstruction on the edge

    R. Couturier, J. Azar

    IPPN Affordable Phenotyping Workshop: Plant Phenotyping with Minicomputers

2020

  1. Journal article

    Robust IoT time series classification with data compression and deep learning

    J. Azar, A. Makhoul, R. Couturier, J. Demerjian

    Neurocomputing 398, 222–234

  2. Conference paper

    Using DenseNet for IoT multivariate time series classification

    J. Azar, A. Makhoul, R. Couturier

    IEEE Symposium on Computers and Communications (ISCC), 1–6

  3. Conference paper

    A wearable LoRa-based emergency system for remote safety monitoring

    G. B. Tayeh, J. Azar, A. Makhoul, C. Guyeux, J. Demerjian

    International Wireless Communications and Mobile Computing (IWCMC), 120–125

  4. Thesis

    Data compression and deep learning for IoT healthcare applications based on physiological signals

    J. Azar

    PhD thesis, Université Bourgogne Franche-Comté

2019

  1. Journal article

    An energy efficient IoT data compression approach for edge machine learning

    J. Azar, A. Makhoul, M. Barhamgi, R. Couturier

    Future Generation Computer Systems 96, 168–175

2018

  1. Conference paper

    Using adaptive sampling and DWT lifting scheme for efficient data reduction in wireless body sensor networks

    J. Azar, C. Habib, R. Darazi, A. Makhoul, J. Demerjian

    14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

  2. Conference paper

    Using DWT lifting scheme for lossless data compression in wireless body sensor networks

    J. Azar, R. Darazi, C. Habib, A. Makhoul, J. Demerjian

    14th International Wireless Communications & Mobile Computing Conference (IWCMC)

  3. Conference paper

    On the performance of resource-aware compression techniques for vital signs data in wireless body sensor networks

    J. Azar, A. Makhoul, R. Darazi, J. Demerjian, R. Couturier

    IEEE Middle East and North Africa Communications Conference (MENACOMM), 1–6