| Prediction of solar energy guided by pearson correlation using machine learning I Jebli, FZ Belouadha, MI Kabbaj, A Tilioua Energy 224, 120109, 2021 | 415 | 2021 |
| Deep learning based models for solar energy prediction I Jebli, FZ Belouadha, MI Kabbaj, A Tilioua Advances in Science, Technology and Engineering Systems Journal 6 (1), 349-355, 2021 | 51 | 2021 |
| An attention-based LSTM network for large earthquake prediction A Berhich, FZ Belouadha, MI Kabbaj Soil Dynamics and Earthquake Engineering 165, 107663, 2023 | 48 | 2023 |
| LSTM-based models for earthquake prediction A Berhich, FZ Belouadha, MI Kabbaj Proceedings of the 3rd International Conference on Networking, Information …, 2020 | 44 | 2020 |
| A location-dependent earthquake prediction using recurrent neural network algorithms A Berhich, FZ Belouadha, MI Kabbaj Soil Dynamics and Earthquake Engineering 161, 107389, 2022 | 39 | 2022 |
| A deviation management system for handling software process enactment evolution M Kabbaj, R Lbath, B Coulette International Conference on Software Process, 186-197, 2008 | 33 | 2008 |
| A deviation-tolerant approach to software process evolution MI Kabbaj, R Lbath, B Coulette Ninth international workshop on Principles of software evolution: in …, 2007 | 30* | 2007 |
| The forecasting of solar energy based on Machine Learning I Jebli, FZ Belouadha, MI Kabbaj 2020 International Conference on Electrical and Information Technologies …, 2020 | 18 | 2020 |
| Towards an approach to improve business process models using risk management techniques H Lhannaoui, MI Kabbaj, Z Bakkoury 2013 8th international conference on intelligent systems: Theories and …, 2013 | 17 | 2013 |
| Towards an active help on detecting data flow errors in business process models MI KABBAJ, A RHARBI, Z BAKKOURY International Journal of Computer Science and Applications, 2015 | 15 | 2015 |
| LSTM-based earthquake prediction: enhanced time feature and data representation A Berhich, FZ Belouadha, MI Kabbaj International Journal of High Performance Systems Architecture 10 (1), 1-11, 2021 | 14 | 2021 |
| Analyzing Risks in Business Process Models using a Deviational Technique H Lhannaoui, MI Kabbaj, Z Bakkoury ICSOFT-EA 2014, the 9th International Conference on Software Engineering and …, 2014 | 10 | 2014 |
| Design and implementation of the customer experience data mart in the telecommunication industry: Application order-to-payment end to end process M Benhima, JP Reilly, Z Naamane, M Kharbat, MI Kabbaj, O Esqalli arXiv preprint arXiv:1401.0534, 2013 | 10 | 2013 |
| Improvement of performance intrusion detection system (IDS) using artificial neural network ensemble AA Wiharto, U Permana, AB VAVRENYUK, AP KLARIN, VV MAKAROV, ... Journal of Theoretical and Applied Information Technology 80 (2), 2015 | 6 | 2015 |
| Process mining: Matrix representation for bloc discovery S Boushaba, MI Kabbaj, Z Bakkoury Intelligent Systems: Theories and Applications (SITA), 2013 8th …, 2013 | 6* | 2013 |
| Enhancing Fault Detection in CNC Machinery: A Deep Learning and Genetic Algorithm Approach. PM Mbilong, Z Aarab, FZ Belouadha, MI Kabbaj Ingénierie des Systèmes d'Information 28 (5), 2023 | 4 | 2023 |
| Smart business process modeling: Toward an IoT to detect the data flow anomalies in ad hoc mesh network N Chadli, M Elhoseny, MI Kabbaj, Z Bakkoury Distributed Sensing and Intelligent Systems: Proceedings of ICDSIS 2020, 13-27, 2022 | 4 | 2022 |
| An Approach for Improving Business Process Models Using Risk Analysis Techniques H Lhannaoui, MI Kabbaj, Z Bakkoury The 2nd World Conference on Complex Systems, 2014 | 4 | 2014 |
| Process discovery: Automated approach for block discovery S Boushaba, MI Kabbaj, Z Bakkoury ENASE 2014 - Proceedings of the 9th International Conference on Evaluation …, 2014 | 4 | 2014 |
| Optimized Approach for Dynamic Adaptation of Process Models T Chaghrouchni, Kabbaj, B Mohammed Issam, Zohra Mediterranean Conference on Information & Communication Technologies'2015, 2015 | 3 | 2015 |
lhannaoui hanane University Mohammed V Agdal Adresă de e-mail confirmată pe research.emi.ac.ma
