| 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 | 215 | 2014 |
| The impact of natural disasters on critical infrastructures: A domino effect-based study F Kadri, B Birregah, E Châtelet Journal of Homeland Security and Emergency Management 11 (2), 217-241, 2014 | 134 | 2014 |
| 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 | 122 | 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 | 118 | 2016 |
| A simulation-based decision support system to prevent and predict strain situations in emergency department systems F Kadri, S Chaabane, C Tahon Simulation modelling practice and theory 42, 32-52, 2014 | 115 | 2014 |
| 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 | 103 | 2020 |
| Forecasting of wastewater treatment plant key features using deep learning-based models: A case study T Cheng, F Harrou, F Kadri, Y Sun, TO Leiknes Ieee Access 8, 184475-184485, 2020 | 100 | 2020 |
| Method for quantitative assessment of the domino effect in industrial sites F Kadri, E Châtelet, G Chen Process Safety and Environmental Protection 91 (6), 452-462, 2013 | 93 | 2013 |
| Forecasting emergency department overcrowding: A deep learning framework F Harrou, A Dairi, F Kadri, Y Sun Chaos, Solitons & Fractals 139, 110247, 2020 | 68 | 2020 |
| Detecting abnormal ozone measurements with a deep learning-based strategy F Harrou, A Dairi, Y Sun, F Kadri IEEE Sensors Journal 18 (17), 7222-7232, 2018 | 62 | 2018 |
| Predicting hospital length of stay using regression models: Application to emergency department C Combes, F Kadri, S Chaabane 10ème Conférence Francophone de Modélisation, Optimisation et Simulation …, 2014 | 60 | 2014 |
| Ozone measurements monitoring using data-based approach F Harrou, F Kadri, S Khadraoui, Y Sun Process Safety and Environmental Protection 100, 220-231, 2016 | 52 | 2016 |
| Domino effect analysis and assessment of industrial sites: A review of methodologies and software tools F Kadri, E Chatelet International Journal of Computers and Distributed Systems 2 (III), 1-10, 2013 | 47 | 2013 |
| Peaks Over Threshold–based detector design for structural health monitoring: Application to aerospace structures M Rébillat, O Hmad, F Kadri, N Mechbal Structural Health Monitoring 17 (1), 91-107, 2018 | 41 | 2018 |
| Towards accurate prediction of patient length of stay at emergency department: a GAN-driven deep learning framework F Kadri, F., Dairi, A., Harrou J Ambient Intell Human Comput , 2022 | 40* | 2022 |
| Modelling and management of strain situations in hospital systems using an orca approach F Kadri, C Pach, S Chaabane, T Berger, D Trentesaux, C Tahon, Y Sallez Proceedings of 2013 international conference on industrial engineering and …, 2013 | 40 | 2013 |
| The assessment of risk caused by fire and explosion in chemical process industry: A domino effect-based study F Kadri, E Chatelet, P Lallement Journal of risk analysis and crisis response 3 (2), 2013 | 33 | 2013 |
| An LSTM-based deep learning approach with application to predicting hospital emergency department admissions F Kadri, M Baraoui, I Nouaouri 2019 International Conference on Industrial Engineering and Systems …, 2019 | 29 | 2019 |
| Machine learning for emergency department management S Benbelkacem, F Kadri, B Atmani, S Chaabane International Journal of Information Systems in the Service Sector (IJISSS …, 2019 | 24 | 2019 |
| Effective forecasting of key features in hospital emergency department: Hybrid deep learning-driven methods F Harrou, A Dairi, F Kadri, Y Sun Machine Learning with Applications, 2021 | 21 | 2021 |
Dr. Fouzi Harrou (Top 2% World Scien...IEEE Senior Memberieee.org의 이메일 확인됨