| Wavelet transform application for/in non-stationary time-series analysis: A review M Rhif, A Ben Abbes, IR Farah, B Martínez, Y Sang Applied sciences 9 (7), 1345, 2019 | 536 | 2019 |
| Non-stationary and unequally spaced NDVI time series analyses by the LSWAVE software E Ghaderpour, A Ben Abbes, M Rhif, SD Pagiatakis, IR Farah International Journal of Remote Sensing 41 (6), 2374-2390, 2020 | 42 | 2020 |
| An improved trend vegetation analysis for non-stationary NDVI time series based on wavelet transform M Rhif, A Ben Abbes, B Martinez, IR Farah Environmental Science and Pollution Research 28 (34), 46603-46613, 2021 | 26 | 2021 |
| Action recognition from 3d skeleton sequences using deep networks on lie group features M Rhif, H Wannous, IR Farah 2018 24th International Conference on Pattern Recognition (ICPR), 3427-3432, 2018 | 26 | 2018 |
| Veg-W2TCN: A parallel hybrid forecasting framework for non-stationary time series using wavelet and temporal convolution network model M Rhif, AB Abbes, B Martínez, IR Farah Applied Soft Computing 137, 110172, 2023 | 23 | 2023 |
| Detection of trend and seasonal changes in non-stationary remote sensing data: Case study of Tunisia vegetation dynamics M Rhif, AB Abbes, B Martinez, R de Jong, Y Sang, IR Farah Ecological Informatics 69, 101596, 2022 | 23 | 2022 |
| Combining deep learning methods and multi-resolution analysis for drought forecasting modeling AB Abbes, R Inoubli, M Rhif, IR Farah Earth Science Informatics 16 (2), 1811-1820, 2023 | 18 | 2023 |
| A deep learning approach for forecasting non-stationary big remote sensing time series M Rhif, A Ben Abbes, B Martinez, IR Farah Arabian Journal of Geosciences 13 (22), 1174, 2020 | 17 | 2020 |
| Deep learning models performance for NDVI time series prediction: a case study on north west Tunisia M Rhif, AB Abbes, B Martínez, IR Farah 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium …, 2020 | 17 | 2020 |
| SMETool: A web-based tool for soil moisture estimation based on Eo-Learn framework and Machine Learning methods N Jarray, AB Abbes, M Rhif, H Dhaou, M Ouessar, IR Farah Environmental Modelling & Software 157, 105505, 2022 | 11 | 2022 |
| Multi-attention generative adversarial network for multi-step vegetation indices forecasting using multivariate time series A Ferchichi, AB Abbes, V Barra, M Rhif, IR Farah Engineering Applications of Artificial Intelligence 128, 107563, 2024 | 9 | 2024 |
| Optimal selection of wavelet transform parameters for spatio-temporal analysis based on non-stationary NDVI MODIS time series in Mediterranean region M Rhif, AB Abbes, B Martínez, IR Farah, MA Gilabert ISPRS Journal of Photogrammetry and Remote Sensing 193, 216-233, 2022 | 8 | 2022 |
| An open source platform to estimate soil moisture using machine learning methods based on eo-learn library N Jarray, AB Abbes, M Rhif, F Chouikhi, IR Farah 2021 International Congress of Advanced Technology and Engineering (ICOTEN), 1-5, 2021 | 8 | 2021 |
| An improved forecasting model from satellite imagery based on optimum wavelet bases and adam optimized lstm methods M Rhif, AB Abbes, B Martinez, IR Farah International Conference on Computational Collective Intelligence, 560-571, 2021 | 5 | 2021 |
| Towards a Tunisian earth observation data cube for environmental applications M Rhif, AB Abbes, F Chouikhi, N Jarray, IR Farah 2021 International Congress of Advanced Technology and Engineering (ICOTEN), 1-5, 2021 | 2 | 2021 |
| Smartearthtunisia: A benchmark for monitoring the sdgs using earth observation data and deep learning techniques in tunisia H Balti, M Rhif, F Chouikhi, R Inoubli, A Abidi, N Jarray, A ben Abbes, ... IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 1 | 2022 |
| An hybrid approach for forecasting vegetation dynamics and association with climate changes in the Mediterranean region M Rhif, B Martinez, A Ben Abbes, I Riadh Farah 44th COSPAR Scientific Assembly. Held 16-24 July 44, 127, 2022 | 1 | 2022 |
| A Non-stationary NDVI Time Series with Big Data: A Deep Learning Approach M Rhif, AB Abbes, IR Farah Conference of the Arabian Journal of Geosciences, 357-359, 2019 | 1 | 2019 |
| Data-Driven Forecasting of Climate Change Impacts on Vegetation for Sustainable Agriculture M Rhif, AB Abbes, B Martínez, IR Farah Procedia Computer Science 246, 2943-2952, 2024 | | 2024 |
| Trend Analysis Using Discrete Wavelet Transform (DWT) for Non-stationary NDVI Time Series in Tunisia M Rhif, AB Abbes, IR Farah, B Martínez Recent Advances in Environmental Science from the Euro-Mediterranean and …, 2021 | | 2021 |
IMED RIADH FARAHProfesseur en informatique, université UMAAdresse e-mail validée de mse.uma.tn
