| Multivariate deep learning approach for electric vehicle speed forecasting Y Nait Malek, M Najib, M Bakhouya, M Essaaidi Big Data Mining and Analytics 4 (1), 56 - 64, 2021 | 96 | 2021 |
| A comparative study of predictive approaches for load forecasting in smart buildings S Hadri, Y Naitmalek, M Najib, M Bakhouya, Y Fakhri, M Elaroussi Procedia Computer Science 160, 173-180, 2019 | 47 | 2019 |
| A multi-agent based simulation model for rail–rail transshipment: An engineering approach for gantry crane scheduling MN Abourraja, M Oudani, MY Samiri, D Boudebous, A El Fazziki, M Najib, ... IEEE Access 5, 13142-13156, 2017 | 40 | 2017 |
| An improving agent-based engineering strategy for minimizing unproductive situations of cranes in a rail–rail transshipment yard MN Abourraja, M Oudani, MY Samiri, J Boukachour, A Elfazziki, A Bouain, ... Simulation 94 (8), 681-705, 2018 | 17 | 2018 |
| Forecasting the state-of-charge of batteries in micro-grid systems Y Naitmalek, M Najib, M Bakhouya, M Essaaidi 2019 4th world conference on complex systems (WCCS), 1-6, 2019 | 15 | 2019 |
| Performance Evaluation of Forecasting Strategies for Electricity Consumption in Buildings S Hadri, M Najib, M Bakhouya, Y Fakhri, M El Arroussi Energies 14 (18), 2021 | 14 | 2021 |
| Toward a self-adaptive workflow management system through learning and prediction models MY Samiri, M Najib, A El Fazziki, J Boukachour Arabian Journal for Science and Engineering 42, 897-912, 2017 | 14 | 2017 |
| A container terminal management system M Najib, A El Fazziki, J Boukachour Proceedings of the International Conference on Harbour Maritime and …, 2012 | 14 | 2012 |
| On the use of machine learning for state-of-charge forecasting in electric vehicles Y NaitMalek, M Najib, M Bakhouya, M Essaaidi 2019 IEEE international smart cities conference (ISC2), 408-413, 2019 | 13 | 2019 |
| Multi-agent framework for hazardous goods transport risk management M Najib, H Boukachour, J Boukachour, AE Fazziki International Journal of Information Science and Management (IJISM), 27-34, 2012 | 11 | 2012 |
| Predicting the future is like completing a painting: Towards a novel method for time-series forecasting N Maaroufi, M Najib, M Bakhouya IEEE Access 9, 119918-119938, 2021 | 9 | 2021 |
| A Hadoop based framework for soil parameters prediction AEL Mezouari, M Najib 2019 15th International Conference on Signal-Image Technology & Internet …, 2019 | 9 | 2019 |
| A Multi Agent Framework for Risk Management in Container Terminal: Suspect Containers Targeting. M Najib, J Boukachour, A El Fazziki Int. J. Comput. Sci. Appl. 10 (2), 33-52, 2013 | 8 | 2013 |
| Embedded real-time battery state-of-charge forecasting in micro-grid systems Y NaitMalek, M Najib, M Bakhouya, M Essaaidi Ecological Complexity 45, 100903, 2021 | 6 | 2021 |
| Une approche agents pour la modélisation des Processus Métiers A El Fazziki, S Nouzri, M Najib, M Sadgal 6ème Conférence francophone sur les architectures logicielles, 2012 | 6 | 2012 |
| Towards a smart irrigation scheduling system through massive data and predictive models A El Mezouari, M Najib, AE Fazziki Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) Volume …, 2020 | 5 | 2020 |
| APRICOIN: An adaptive approach for prioritizing high-risk containers inspections MY Samiri, M Najib, A Elfazziki, MN Abourraja, D Boudebous, A Bouain IEEE Access 5, 18238-18249, 2017 | 5 | 2017 |
| Gestion des risques liés au transport des matières dangereuses M Najib Université du Havre, 2014 | 5 | 2014 |
| An agent based framework for an adaptive workflow management: model driven approach A El Fazziki, M Najib, MY Samiri, M Sadgal Journal of Convergence Information Technology 9 (5), 6, 2014 | 3 | 2014 |
| RISK MANAGEMENT IMPACT ASSESSEMENT: MARITME CONTAINER TERMINAL PERFORMANCE. M Najib, AE Fazziki, J Boukachour International Journal of Academic Research 6 (1), 2014 | 3 | 2014 |
Mohamed BakhouyaInternational University of RabatAdresse e-mail validée de uir.ac.ma
