Wastewater treatment plant monitoring via a deep learning approach. - Fouzi Harrou; Abdelkader Dairi; Ying Sun 002; Senouci Mohamed (ICIT, 2018)

Unsupervised obstacle detection in driving environments using deep-learning-based stereovision. - Abdelkader Dairi; Fouzi Harrou; Senouci Mohamed; Ying Sun 002 (Robotics Auton. Syst., 2018)

Monitoring Influent Conditions of Wastewater Treatment Plants by Nonlinear Data-Based Techniques. - Tuoyuan Cheng; Abdelkader Dairi; Fouzi Harrou; Ying Sun 002; Torove Leiknes (IEEE Access, 2019)

A deep attention-driven model to forecast solar irradiance. - Abdelkader Dairi; Fouzi Harrou; Ying Sun 002 (INDIN, 2021)

Comparative study of machine learning methods for COVID-19 transmission forecasting. - Abdelkader Dairi; Fouzi Harrou; Abdelhafid Zeroual; Mohamad Mazen Hittawe; Ying Sun 002 (J. Biomed. Informatics, 2021)

Desertification Detection Using an Improved Variational Autoencoder-Based Approach Through ETM-Landsat Satellite Data. - Yacine Zerrouki; Fouzi Harrou; Nabil Zerrouki; Abdelkader Dairi; Ying Sun 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Integrated Multiple Directed Attention-Based Deep Learning for Improved Air Pollution Forecasting. - Abdelkader Dairi; Fouzi Harrou; Sofiane Khadraoui; Ying Sun 002 (IEEE Trans. Instrum. Meas., 2021)

DDOS attacks detection based on attention-deep learning and local outlier factor. - Abdelkader Dairi; Belkacem Khaldi; Fouzi Harrou; Ying Sun 002 (FMEC, 2022)

Monitoring Ground-Level Ozone Pollution Based on a Semi-supervised Approach. - Benamar Bouyeddou; Fouzi Harrou; Abdelkader Dairi; Ying Sun 002 (ICFSP, 2022)

Gated Recurrent Unit Based Short-Term Network for Robot Swarm Motion Forecasting. - Belkacem Khaldi; Fouzi Harrou; Abdelkader Dairi; Ying Sun 002 (RTSI, 2022)

A Semi-Supervised Modulation Identification in MIMO Systems: A Deep Learning Strategy. - Sofya Bouchenak; Rachid Merzougui; Fouzi Harrou; Abdelkader Dairi; Ying Sun 002 (IEEE Access, 2022)

Efficient Driver Drunk Detection by Sensors: A Manifold Learning-Based Anomaly Detector. - Abdelkader Dairi; Fouzi Harrou; Ying Sun 002 (IEEE Access, 2022)

Machine learning and deep learning-driven methods for predicting ambient particulate matters levels: A case study. - Amin Wu; Fouzi Harrou; Abdelkader Dairi; Ying Sun 002 (Concurr. Comput. Pract. Exp., 2022)

Efficient land desertification detection using a deep learning-driven generative adversarial network approach: A case study. - Nabil Zerrouki; Abdelkader Dairi; Fouzi Harrou; Yacine Zerrouki; Ying Sun 002 (Concurr. Comput. Pract. Exp., 2022)

Deep Generative Learning-Based 1-SVM Detectors for Unsupervised COVID-19 Infection Detection Using Blood Tests. - Abdelkader Dairi; Fouzi Harrou; Ying Sun 002 (IEEE Trans. Instrum. Meas., 2022)

Towards accurate prediction of patient length of stay at emergency department: a GAN-driven deep learning framework. - Farid Kadri; Abdelkader Dairi; Fouzi Harrou; Ying Sun 002 (J. Ambient Intell. Humaniz. Comput., 2023)

Stacked deep learning approach for efficient SARS-CoV-2 detection in blood samples. - Wu Wang; Fouzi Harrou; Abdelkader Dairi; Ying Sun 002 (Artif. Intell. Medicine, 2024)

Exploiting Autoencoder-Based Anomaly Detection to Enhance Cybersecurity in Power Grids. - Fouzi Harrou; Benamar Bouyeddou; Abdelkader Dairi; Ying Sun 002 (Future Internet, 2024)

Auto-configured explainable graph neural networks for multi-site pollution prediction. - Abdelkader Dairi; Fouzi Harrou; Ying Sun 002 (Appl. Soft Comput., 2025)