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IMED RIADH FARAH
IMED RIADH FARAH
Professeur en informatique, université UMA
在 mse.uma.tn 的电子邮件经过验证 - 首页
标题
引用次数
年份
Graph feature fusion driven by deep autoencoder for advanced hyperspectral image unmixing
R Hanachi, A Sellami, IR Farah, M Dalla Mura
Knowledge-Based Systems, 112087, 2024
2024
Multi-view graph representation learning for hyperspectral image classification with spectral–spatial graph neural networks
R Hanachi, A Sellami, IR Farah, M Dalla Mura
Neural Computing and Applications 36 (7), 3737-3759, 2024
12024
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
22024
A Bi-GRU-based encoder–decoder framework for multivariate time series forecasting
H Balti, A Ben Abbes, IR Farah
Soft Computing, 1-12, 2024
32024
UAV-Based IoT Applications for Action Recognition Check for updates
S Mouna, IR Farah
Decision Making and Security Risk Management for IoT Environments 106, 171, 2024
2024
Decision Making and Security Risk Management for IoT Environments
W Boulila, J Ahmad, A Koubaa, M Driss, IR Farah
Springer, 2024
2024
Machine learning for food security: current status, challenges, and future perspectives
N Jarray, AB Abbes, IR Farah
Artificial Intelligence Review 56 (Suppl 3), 3853-3876, 2023
22023
Graph-based deep learning techniques for remote sensing applications: Techniques, taxonomy, and applications—A comprehensive review
MK Khlifi, W Boulila, IR Farah
Computer Science Review 50, 100596, 2023
52023
UAV-Based IoT Applications for Action Recognition
S Mouna, IR Farah
Decision Making and Security Risk Management for IoT Environments, 171-197, 2023
2023
Spatio-temporal heterogeneous graph using multivariate earth observation time series: Application for drought forecasting
H Balti, AB Abbes, Y Sang, N Mellouli, IR Farah
Computers & Geosciences 179, 105435, 2023
22023
Desertification Detection in Satellite Images Using Siamese Variational Autoencoder with Transfer Learning
F Chouikhi, AB Abbes, IR Farah
International Conference on Computational Collective Intelligence, 513-525, 2023
2023
DNGAE: Deep Neighborhood Graph Autoencoder for Robust Blind Hyperspectral Unmixing
R Hanachi, A Sellami, IR Farah, MD Mura
International Conference on Computational Collective Intelligence, 84-96, 2023
12023
Check for updates
H Unmixing, R Hanachi¹, A Sellami, IR Farah
Computational Collective Intelligence: 15th International Conference, ICCCI …, 2023
2023
Interpolation and Prediction of Piezometric Multivariate Time Series Based on Data Augmentation and Transformers
ML Rabah, N Mellouli, IR Farah
Proceedings of SAI Intelligent Systems Conference, 327-344, 2023
2023
A Hybrid Approach Based on GAN and CNN-LSTM for Aerial Activity Recognition
A Bousmina, M Selmi, MA Ben Rhaiem, IR Farah
Remote Sensing 15 (14), 3626, 2023
52023
Evaluation of Two Surface Scattering Models Within the Water Cloud Model Over an Agricultural Area in Mexico and Synergistic Use of Sentinel-1 and Sentinel-2 Images
R Inoubli, DE Constantino-Recillas, A Monsiváis-Huertero, LB Farah, ...
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
12023
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
42023
Combining 2D encoding and convolutional neural network to enhance land cover mapping from Satellite Image Time Series
A Abidi, D Ienco, AB Abbes, IR Farah
Engineering Applications of Artificial Intelligence 122, 106152, 2023
112023
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
92023
Sustainable Palm Tree Farming: Leveraging IoT and Multi-Modal Data for Early Detection and Mapping of Red Palm Weevil
Y Hajjaji, A Alzahem, W Boulila, IR Farah, A Koubaa
Procedia Computer Science 225, 4952-4962, 2023
22023
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