Accueil › Annuaire des chercheurs › Ali Ben Abbes
Ali Ben Abbes
Affiliation : National School of Computer Science · Manouba University
- 72Publications (affiliation tunisienne)
- 102Publications au total
- 1719Citations
- 20Indice h
Profil de recherche
Ali Ben Abbes compte 72 publications référencées (2012–2026). Ses travaux paraissent principalement dans « IEEE International Geoscience and Remote Sensing Symposium (IGARSS) », « HAL » et « Elsevier eBooks ». Son article le plus cité, « Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review » (2019), a été cité 601 fois. 22 de ces publications datent des trois dernières années d’activité. Ses travaux sont cosignés avec au moins 12 chercheurs, notamment dans des établissements de France.
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Créer mon profil gratuit Ajouter mes publicationsDomaines de recherche
- Remote Sensing in Agriculture
- Remote-Sensing Image Classification
- Remote Sensing and Land Use
- Hydrological Forecasting Using AI
- Hydrology and Drought Analysis
Publications (72)
- Fourier-optimal loss for distortion and time in non-stationary time series forecasting
- Nightlight signalled the socioeconomic resilience for great disasters with continuing depopulation trends in coastal northeastern Japan
- Learning feature representations with recurrent neural networks for the Earth Sciences
- List of contributors
- HSSF-ABIDE: A Semi-Supervised Federated Framework with Heterogeneous Clients for Multi-Site fMRI
- SESAUnet: A deep attention-based segmentation model for early detection of green aphids in smart greenhouse environments
- MSTT: A Spatio-Temporal Transformer for Multivariate Drought Forecasting in Hyper-arid Regions Using Remote Sensing
- An end-to-end pipeline based on a Two-Dimensional Convolutional Neural Network for monitoring desertification in Africa using remote sensing images
- Supervised desertification classification using Siamese Variational Autoencoder
- Enhancing change detection in multi-date images using a Multi-temporal Siamese Neural Network
- Assessing the impact of climate change on desertification in Africa: A comparative analysis and projections based on CMIP6
- AI and EO for Advancing Sustainable Development Goals: SmartSDGTunisia as a Case Study
- Gross primary production prediction and future projection: motivations, challenges, and new directions
- Trustworthy AI for Spatio-Temporal Forecasting via Counterfactual Causality
- A Food Security Data Cube (FSDC) System Integrating Simulated Climate Change Scenarios: Application to Yield Forecasting in Tunisia
- Advances in remote sensing based soil moisture retrieval: applications, techniques, scales and challenges for combining machine learning and physical models
- A Bi-GRU-based encoder–decoder framework for multivariate time series forecasting
- TALDS: A Transfer-Active Learning-Driven Siamese Network for Bi-temporal Image Classification
- Monitoring Desertification in Tunisia Using Modis Ecological Indicators and Machine Learning
- Data-Driven Forecasting of Climate Change Impacts on Vegetation for Sustainable Agriculture
- Orthrus: multi-scale land cover mapping from satellite image time series via 2D encoding and convolutional neural network
- Toward an Intelligent Decision Support System for Environmental Application Using Earth Digital Twin
- Veg-W2TCN: A parallel hybrid forecasting framework for non-stationary time series using wavelet and temporal convolution network model
- Combining deep learning methods and multi-resolution analysis for drought forecasting modeling
- Combining 2D encoding and convolutional neural network to enhance land cover mapping from Satellite Image Time Series
- Multi-attention Generative Adversarial Network for multi-step vegetation indices forecasting using multivariate time series
- Spatio-temporal heterogeneous graph using multivariate earth observation time series: Application for drought forecasting
- Machine learning for food security: current status, challenges, and future perspectives
- A Machine Learning Framework for Cereal Yield Forecasting Using Heterogeneous Data
- Desertification Detection in Satellite Images Using Siamese Variational Autoencoder with Transfer Learning
- Soil Characterization Using Machine Learning Based on Remote Sensing Data
- Encodage 2D de séries temporelles d'imagerie satellitaires pour l'amélioration
- Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review
- Detection of trend and seasonal changes in non-stationary remote sensing data: Case study of Tunisia vegetation dynamics
- A Novel Teacher–Student Framework for Soil Moisture Retrieval by Combining Sentinel-1 and Sentinel-2: Application in Arid Regions
- A comparison between the use of machine learning techniques and the water cloud model for the retrieval of soil moisture from Sentinel-1A and Sentinel-2A products
- SMETool: A web-based tool for soil moisture estimation based on Eo-Learn framework and Machine Learning methods
- Optimal selection of wavelet transform parameters for spatio-temporal analysis based on non-stationary NDVI MODIS time series in Mediterranean region
- Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring
- Unsupervised self-training method based on deep learning for soil moisture estimation using synergy of sentinel-1 and sentinel-2 images
- Desertification Detection Based on Landsat Time-Series Images and Variational Auto-Encoder: Application in Jeffera, Tunisia
- SmartEarthTunisia: A Benchmark for Monitoring the SDGs USING Earth Observation Data and Deep Learning Techniques In Tunisia
- On Building of a Deep Learning-Based Drought Forecasting System for the Sarab Region [Iran]
- A Non-stationary NDVI Time Series with Big Data: A Deep Learning Approach
- Big data based architecture for drought forecasting using LSTM, ARIMA, and Prophet: Case study of the Jiangsu Province, China
- An Evaluation of Soil Moisture Retrieval Using Machine Learning Methods: Application in Arid Regions of Tunisia
- An open source platform to estimate Soil Moisture using Machine Learning Methods based on Eo-learn library
- Combining pixel- and object-level information for land-cover mapping using time-series of Sentinel-2 satellite data
- An Improved Forecasting Model from Satellite Imagery Based on Optimum Wavelet Bases and Adam Optimized LSTM Methods
- Towards a Tunisian earth observation data cube for environmental applications
- Trend Analysis Using Discrete Wavelet Transform (DWT) for Non-stationary NDVI Time Series in Tunisia
- A review of drought monitoring with big data: Issues, methods, challenges and research directions
- Fused 3-D spectral-spatial deep neural networks and spectral clustering for hyperspectral image classification
- An improved trend vegetation analysis for non-stationary NDVI time series based on wavelet transform
- A deep learning approach for forecasting non-stationary big remote sensing time series
- A review of drought monitoring using remote sensing and data mining methods
- Deep Learning Models Performance For NDVI Time Series Prediction: A Case Study On North West Tunisia
- Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review
- Non-stationary and unequally spaced NDVI time series analyses by the LSWAVE software
- A non-stationary NDVI time series modelling using triplet Markov chain
- Comparative study of three satellite image time-series decomposition methods for vegetation change detection
- An efficient knowledge-based approach for random variation interpretation in NDVI time series
- Prediction Changes for Nonstationary Multi-Temporal Satellite Images Using HMM
- Prediction Changes for Nonstationary Multi-Temporal Satellite Images using HMM
- Triplet Markov Chain for Modeling a Non-Stationary NDVI Time Series
- Rare events detection in NDVI time-series using Jarque-Bera test
- Spectral and descriptive methods of remote sensing time series decomposition
- Cartographie de la croissance urbaine par les séries temporelles d'images satellitaire : Cas de Tres Cantos (2003-2013)
- An adaptive multiplicative decomposition of non stationary multi-temporal satellite images: Application to urban changes detection
- A study of changes prediction by HMM with non-stationarity image data: Case of urban area
- Seasonal Vegetation Prediction from Satellite image using Hidden Markov Model
- Spatio-temporal modeling based on hidden Markov model for object tracking in satellite imagery
Revues de publication
- IEEE International Geoscience and Remote Sensing Symposium (IGARSS) × 5
- HAL × 4
- Elsevier eBooks × 3
- International Conference on Advanced Technologies for Signal and Image Processing × 3
- Advances in Science, Technology & Innovation/Advances in science, technology & innovation × 3
- Ecological Informatics × 3
Publications par année
- 20267
- 20258
- 20247
- 202310
- 202212
- 20217
- 20206
- 20193
- 20183
- 20162
Collaborations
Établissements partenaires : Institut des Régions Arides · University of Gabès · IMT Atlantique · Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes · Université Paris 8
Pays des co-auteurs : France
Co-auteurs
- Imed Riadh Farah
- Manel Rhif
- Noureddine Jarray
- Farah Chouikhi
- Hanen Balti
- Houcine Essid
- Azza Abidi
- Raja Inoubli
- Aya Ferchichi
- Oumayma Bounouh
- L. Bennaceur
- Mohamed Farah
Données bibliographiques issues d’OpenAlex (base ouverte).
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