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Manel Rhif
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2020 – today
- 2024
- [j5]Aya Ferchichi
, Ali Ben Abbes
Multi-attention Generative Adversarial Network for multi-step vegetation indices forecasting using multivariate time series. Eng. Appl. Artif. Intell. 128: 107563 (2024) - 2023
- [j4]Manel Rhif
Veg-W2TCN: A parallel hybrid forecasting framework for non-stationary time series using wavelet and temporal convolution network model. Appl. Soft Comput. 137: 110172 (2023) - [j3]Ali Ben Abbes, Raja Inoubli, Manel Rhif, Imed Riadh Farah:
Combining deep learning methods and multi-resolution analysis for drought forecasting modeling. Earth Sci. Informatics 16(2): 1811-1820 (2023) - 2022
- [j2]Manel Rhif, Ali Ben Abbes, Beatriz Martínez
Detection of trend and seasonal changes in non-stationary remote sensing data: Case study of Tunisia vegetation dynamics. Ecol. Informatics 69: 101596 (2022) - [j1]Noureddine Jarray
SMETool: A web-based tool for soil moisture estimation based on Eo-Learn framework and Machine Learning methods. Environ. Model. Softw. 157: 105505 (2022) - [c4]Farah Chouikhi
Desertification Detection Based on Landsat Time-Series Images and Variational Auto-Encoder: Application in Jeffera, Tunisia. IGARSS 2022: 3688-3691 - [c3]Hanen Balti
SmartEarthTunisia: A Benchmark for Monitoring the SDGs USING Earth Observation Data and Deep Learning Techniques In Tunisia. IGARSS 2022: 7803-7806 - 2021
- [c2]Manel Rhif
An Improved Forecasting Model from Satellite Imagery Based on Optimum Wavelet Bases and Adam Optimized LSTM Methods. ICCCI 2021: 560-571
2010 – 2019
- 2018
- [c1]Manel Rhif, Hazem Wannous, Imed Riadh Farah
Action Recognition from 3D Skeleton Sequences using Deep Networks on Lie Group Features. ICPR 2018: 3427-3432
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last updated on 2024-08-05 20:23 CEST by the dblp team
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