Manel Rhif

Orcid: 0000-0002-7470-1788

According to our database1, Manel Rhif authored at least 12 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Assessing the impact of climate change on desertification in Africa: A comparative analysis and projections based on CMIP6.
Proceedings of the Joint Urban Remote Sensing Event, 2025

AI and EO for Advancing Sustainable Development Goals: SmartSDGTunisia as a Case Study.
Proceedings of the Joint Urban Remote Sensing Event, 2025

2024
Multi-attention Generative Adversarial Network for multi-step vegetation indices forecasting using multivariate time series.
Eng. Appl. Artif. Intell., 2024

Data-Driven Forecasting of Climate Change Impacts on Vegetation for Sustainable Agriculture.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

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


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