Manel Rhif
Orcid: 0000-0002-7470-1788
According to our database1,
Manel Rhif
authored at least 8 papers
between 2018 and 2023.
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Bibliography
2023
Combining deep learning methods and multi-resolution analysis for drought forecasting modeling.
Earth Sci. Informatics, June, 2023
Veg-W2TCN: A parallel hybrid forecasting framework for non-stationary time series using wavelet and temporal convolution network model.
Appl. Soft Comput., April, 2023
2022
SMETool: A web-based tool for soil moisture estimation based on Eo-Learn framework and Machine Learning methods.
Environ. Model. Softw., 2022
Detection of trend and seasonal changes in non-stationary remote sensing data: Case study of Tunisia vegetation dynamics.
Ecol. Informatics, 2022
Desertification Detection Based on Landsat Time-Series Images and Variational Auto-Encoder: Application in Jeffera, Tunisia.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
SmartEarthTunisia: A Benchmark for Monitoring the SDGs USING Earth Observation Data and Deep Learning Techniques In Tunisia.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
An Improved Forecasting Model from Satellite Imagery Based on Optimum Wavelet Bases and Adam Optimized LSTM Methods.
Proceedings of the Computational Collective Intelligence - 13th International Conference, 2021
2018
Action Recognition from 3D Skeleton Sequences using Deep Networks on Lie Group Features.
Proceedings of the 24th International Conference on Pattern Recognition, 2018