الرئيسية › دليل الباحثين › Ali Ben Abbes
Ali Ben Abbes
الانتماء : National School of Computer Science · Manouba University
- 72منشورات (انتماء تونسي)
- 102مجموع المنشورات
- 1719الاستشهادات
- 20مؤشر h
الملف البحثي
لدى Ali Ben Abbes 72 منشور(ات) مفهرسة (2012–2026). تُنشر أعماله أساسًا في «IEEE International Geoscience and Remote Sensing Symposium (IGARSS)»، «HAL» و«Elsevier eBooks». أكثر مقالاته استشهادًا هو «Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review» (2019)، وقد استُشهد به 601 مرة. 22 من هذه المنشورات تعود إلى آخر ثلاث سنوات من النشاط. شارك في تأليف أعماله 12 باحثًا على الأقل، منهم باحثون من مؤسسات في فرنسا.
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إنشاء ملفي المجاني إضافة منشوراتيمجالات البحث
- Remote Sensing in Agriculture
- Remote-Sensing Image Classification
- Remote Sensing and Land Use
- Hydrological Forecasting Using AI
- Hydrology and Drought Analysis
المنشورات (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
مجلات النشر
- 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
المنشورات حسب السنة
- 20267
- 20258
- 20247
- 202310
- 202212
- 20217
- 20206
- 20193
- 20183
- 20162
التعاون العلمي
المؤسسات الشريكة : Institut des Régions Arides · University of Gabès · IMT Atlantique · Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes · Université Paris 8
بلدان المؤلفين المشاركين : فرنسا
المؤلفون المشاركون
- 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
البيانات البيبليوغرافية مصدرها OpenAlex (قاعدة مفتوحة).
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