| Experimental Investigation of Variational Mode Decomposition and Deep Learning for Short-Term Multi-horizon Residential Electric Load Forecasting MA Ahajjam, DB Licea, M Ghogho, A Kobbane Applied Energy 326, 119963, 2022 | 29 | 2022 |
| A comparative analysis of supervised and unsupervised models for detecting gps spoofing attack on uavs TT Khoei, A Gasimova, MA Ahajjam, K Al Shamaileh, V Devabhaktuni, ... 2022 IEEE International Conference on Electro Information Technology (eIT …, 2022 | 19 | 2022 |
| Energy management strategies for smart green microgrid systems: a systematic literature review C Essayeh, M Raiss El-Fenni, H Dahmouni, MA Ahajjam Journal of Electrical and Computer Engineering 2021 (1), 6675975, 2021 | 16 | 2021 |
| MORED: A moroccan buildings’ electricity consumption dataset MA Ahajjam, D Bonilla Licea, C Essayeh, M Ghogho, A Kobbane Energies 13 (24), 6737, 2020 | 14 | 2020 |
| Electric power quality disturbances classification based on temporal-spectral images and deep convolutional neural networks MA Ahajjam, DB Licea, M Ghogho, A Kobbane 2020 International Wireless Communications and Mobile Computing (IWCMC …, 2020 | 13 | 2020 |
| Deep learning for inferring the surface solar irradiance from sky imagery M Aakroum, A Ahogho, A Aaqir, AA Ahajjam 2017 International Renewable and Sustainable Energy Conference (IRSEC), 1-4, 2017 | 12 | 2017 |
| IMPEC: An integrated system for monitoring and processing electricity consumption in buildings MA Ahajjam, D Bonilla Licea, M Ghogho, A Kobbane Sensors 20 (4), 1048, 2020 | 9 | 2020 |
| Environmental Monitoring for Arctic Resiliency and Sustainability: An Integrated Approach with Topic Modeling and Network Analysis X Zhu, TJ Pasch, MA Ahajjam, A Bergstrom Sustainability 14 (24), 16493, 2022 | 4 | 2022 |
| On Multi-Label Classification for Non-Intrusive Load Identification using Low Sampling Frequency Datasets MA Ahajjam, C Essayeh, M Ghogho, A Kobbane 2021 IEEE International Instrumentation and Measurement Technology …, 2021 | 4 | 2021 |
| A Deep Learning Multi-Task Approach for the Detection of Alzheimer’s Disease in a Longitudinal Study TT Khoei, MA Ahajjam, WC Hu, N Kaabouch 2022 IEEE International Conference on Electro Information Technology (eIT …, 2022 | 2 | 2022 |
| Predictive Analytics of Air Temperature in Alaskan Permafrost Terrain Leveraging Two-Level Signal Decomposition and Deep Learning A Ahajjam, J Putkonen, E Chukwuemeka, R Chance, TJ Pasch Forecasting 6 (1), 55-80, 2024 | | 2024 |
| Machine Learning for Prediction of Permafrost and Active Layer Temperatures along the North Slope of Alaska R Chance, A Ahajjam, J Putkonen, T Pasch AGU Fall Meeting Abstracts 2023 (1055), C53C-1055, 2023 | | 2023 |
| Future Changes in Permafrost Regime; Alaska, USA J Putkonen, R Chance, T Pasch, H Patterson, A Ahajjam AGU Fall Meeting Abstracts 2023, C52B-06, 2023 | | 2023 |
| Automatic detection and classification of infrastructure in Alaska using deep learning and satellite imagery A Ahajjam, R Chance, H Patterson, J Putkonen, T Pasch AGU Fall Meeting Abstracts 2023 (143), C33D-143, 2023 | | 2023 |
| Short-and Mid-Term Forecasting of Pan-Arctic Sea Ice Volume Using Variational Mode Decomposition and Bidirectional Long Short-Term Memory A Ahajjam, J Putkonen, TJ Pasch, X Zhu Geosciences 13 (12), 370, 2023 | | 2023 |
| A hybrid VMD-WT-InceptionTime model for multi-horizon short-term air temperature forecasting in Alaska J Putkonen, M Aymane Ahajjam, T Pasch, R Chance EGU General Assembly Conference Abstracts, EGU-10726, 2023 | | 2023 |
| GIS Analyses for Identifying Permafrost Risks; Alaska, USA H Patterson, J Putkonen, R Chance, A Ahajjam, T Pasch AGU23, 2023 | | 2023 |
| Machine learning for predicting permafrost and active layer temperatures at Toolik Lake, Alaska R Chance, A Ahajjam, J Putkonen, T Pasch | | |
Mounir GhoghoUniversité Internationale de Rabat在 uir.ac.ma 的电子邮件经过验证
