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
596 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
318 2017 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
283 2020 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
227 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
218 2014 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
162 2021 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
161 2019 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
153 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
133 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
121 2015 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
116 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
115 2019 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
115 2013 Efficient wind power prediction using machine learning methods: A comparative study A Alkesaiberi, F Harrou, Y Sun
Energies 15 (7), 2327, 2022
113 2022 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
112 2020 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
106 2020 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
103 2019 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
101 2018 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
101 2018 Forecasting of wastewater treatment plant key features using deep learning-based models: A case study T Cheng, F Harrou, F Kadri, Y Sun, T Leiknes
Ieee Access 8, 184475-184485, 2020
100 2020