| Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study A Zeroual, F Harrou, A Dairi, Y Sun Chaos, solitons & fractals 140, 110121, 2020 | 526 | 2020 |
| Statistical fault detection in photovoltaic systems E Garoudja, F Harrou, Y Sun, K Kara, A Chouder, S Silvestre Solar Energy 150, 485-499, 2017 | 281 | 2017 |
| Reliable fault detection and diagnosis of photovoltaic systems based on statistical monitoring approaches F Harrou, Y Sun, B Taghezouit, A Saidi, ME Hamlati Renewable energy 116, 22-37, 2018 | 203 | 2018 |
| Time series modelling and forecasting of emergency department overcrowding F Kadri, F Harrou, S Chaabane, C Tahon Journal of medical systems 38, 1-20, 2014 | 198 | 2014 |
| Early detection of Parkinson’s disease using deep learning and machine learning W Wang, J Lee, F Harrou, Y Sun IEEE Access 8, 147635-147646, 2020 | 175 | 2020 |
| An unsupervised monitoring procedure for detecting anomalies in photovoltaic systems using a one-class support vector machine F Harrou, A Dairi, B Taghezouit, Y Sun Solar Energy 179, 48-58, 2019 | 134 | 2019 |
| Comparative study of machine learning methods for COVID-19 transmission forecasting A Dairi, F Harrou, A Zeroual, MM Hittawe, Y Sun Journal of biomedical informatics 118, 103791, 2021 | 129 | 2021 |
| Reliable solar irradiance prediction using ensemble learning-based models: A comparative study J Lee, W Wang, F Harrou, Y Sun Energy Conversion and Management 208, 112582, 2020 | 125 | 2020 |
| Vision-based fall detection system for improving safety of elderly people F Harrou, N Zerrouki, Y Sun, A Houacine IEEE Instrumentation & Measurement Magazine 20 (6), 49-55, 2017 | 118 | 2017 |
| Improved principal component analysis for anomaly detection: Application to an emergency department F Harrou, F Kadri, S Chaabane, C Tahon, Y Sun Computers & Industrial Engineering 88, 63-77, 2015 | 114 | 2015 |
| Statistical fault detection using PCA-based GLR hypothesis testing F Harrou, MN Nounou, HN Nounou, M Madakyaru Journal of loss prevention in the process industries 26 (1), 129-139, 2013 | 108 | 2013 |
| Seasonal ARMA-based SPC charts for anomaly detection: Application to emergency department systems F Kadri, F Harrou, S Chaabane, Y Sun, C Tahon Neurocomputing 173, 2102-2114, 2016 | 104 | 2016 |
| Improved NN-Based Monitoring Schemes for Detecting Faults in PV Systems F Harrou, B Taghezouit, Y Sun IEEE Journal of Photovoltaics 9 (3), 811-821, 2019 | 95 | 2019 |
| PLS-based EWMA fault detection strategy for process monitoring F Harrou, MN Nounou, HN Nounou, M Madakyaru Journal of Loss Prevention in the Process Industries 36, 108-119, 2015 | 92 | 2015 |
| An integrated vision-based approach for efficient human fall detection in a home environment F Harrou, N Zerrouki, Y Sun, A Houacine IEEE Access 7, 114966-114974, 2019 | 88 | 2019 |
| Obstacle Detection for Intelligent Transportation Systems Using Deep Stacked Autoencoder and -Nearest Neighbor Scheme A Dairi, F Harrou, Y Sun, M Senouci IEEE Sensors Journal 18 (12), 5122-5132, 2018 | 86 | 2018 |
| Vision-based human action classification using adaptive boosting algorithm N Zerrouki, F Harrou, Y Sun, A Houacine IEEE Sensors Journal 18 (12), 5115-5121, 2018 | 85 | 2018 |
| Short-term forecasting of photovoltaic solar power production using variational auto-encoder driven deep learning approach A Dairi, F Harrou, Y Sun, S Khadraoui Applied Sciences 10 (23), 8400, 2020 | 84 | 2020 |
| Unsupervised obstacle detection in driving environments using deep-learning-based stereovision A Dairi, F Harrou, M Senouci, Y Sun Robotics and Autonomous Systems 100, 287-301, 2018 | 84 | 2018 |
| Forecasting of photovoltaic solar power production using LSTM approach F Harrou, F Kadri, Y Sun Advanced statistical modeling, forecasting, and fault detection in renewable …, 2020 | 76 | 2020 |
