Ibrahim Hoteit
Orcid: 0000-0002-3751-4393
According to our database1,
Ibrahim Hoteit
authored at least 47 papers
between 2001 and 2024.
Collaborative distances:
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Bibliography
2024
2023
Visualization and Visual Analytics Approaches for Image and Video Datasets: A Survey.
ACM Trans. Interact. Intell. Syst., March, 2023
Semantic Segmentation of Mesoscale Eddies in the Arabian Sea: A Deep Learning Approach.
Remote. Sens., March, 2023
Multi-Mission Satellite Detection and Tracking of October 2019 Sabiti Oil Spill in the Red Sea.
Remote. Sens., January, 2023
Downscaling Using CDAnet Under Observational and Model Noises: The Rayleigh-Benard Convection Paradigm.
CoRR, 2023
Proceedings of the High Performance Computing, 2023
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023
2022
Parallel- and Cyclic-Iterative Variational Bayes for Fast Kalman Filtering in Large-Dimensions.
IEEE Trans. Signal Process., 2022
Risk-Averse Stochastic Programming vs. Adaptive Robust Optimization: A Virtual Power Plant Application.
INFORMS J. Comput., 2022
Continuous and Discrete Data Assimilation with Noisy Observations for the Rayleigh-Benard Convection: A Computational Study.
CoRR, 2022
Enhanced Simulation of the Indian Summer Monsoon Rainfall Using Regional Climate Modeling and Continuous Data Assimilation.
CoRR, 2022
Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022
2021
Remote. Sens., 2021
Links between Phenology of Large Phytoplankton and Fisheries in the Northern and Central Red Sea.
Remote. Sens., 2021
Adaptive ensemble optimal interpolation for efficient data assimilation in the red sea.
J. Comput. Sci., 2021
Sample average approximation for risk-averse problems: A virtual power plant scheduling application.
EURO J. Comput. Optim., 2021
2020
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Parametric Bayesian estimation of point-like pollution sources of groundwater layers.
Signal Process., 2020
Developing an Atlas of Harmful Algal Blooms in the Red Sea: Linkages to Local Aquaculture.
Remote. Sens., 2020
A Visual Analytics Based Decision Making Environment for COVID-19 Modeling and Visualization.
Proceedings of the 31st IEEE Visualization Conference, 2020
Unsupervised Variational Bayesian Kalman Filtering For Large-Dimensional Gaussian Systems.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Abnormal events detection using deep neural networks: application to extreme sea surface temperature detection in the Red Sea.
J. Electronic Imaging, 2019
Fetal ECG extraction exploiting joint sparse supports in a dual dictionary framework.
Biomed. Signal Process. Control., 2019
RedSeaAtlas: A Visual Analytics Tool for Spatio-temporal Multivariate Data of the Red Sea.
Proceedings of the 7th Workshop on Visualisation in Environmental Sciences, 2019
2018
Intra-Season Crop Height Variability at Commercial Farm Scales Using a Fixed-Wing UAV.
Remote. Sens., 2018
A fault-tolerant HPC scheduler extension for large and operational ensemble data assimilation: Application to the Red Sea.
J. Comput. Sci., 2018
Comput. Stat. Data Anal., 2018
Comput. Oper. Res., 2018
A Variational Bayesian Estimation Scheme For Parametric Point-Like Pollution Source of Groundwater Layers.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
A Lagrangian Method for Extracting Eddy Boundaries in the Red Sea and the Gulf of Aden.
Proceedings of the 2018 IEEE Scientific Visualization Conference, 2018
2016
A Variational Bayesian Multiple Particle Filtering Scheme for Large-Dimensional Systems.
IEEE Trans. Signal Process., 2016
A Sparse Bayesian Imaging Technique for Efficient Recovery of Reservoir Channels With Time-Lapse Seismic Measurements.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
Orthogonal Matching Pursuit for Enhanced Recovery of Sparse Geological Structures With the Ensemble Kalman Filter.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
Proceedings of the 4th Workshop on Visualisation in Environmental Sciences, 2016
2015
Fast Kalman-Like Filtering for Large-Dimensional Linear and Gaussian State-Space Models.
IEEE Trans. Signal Process., 2015
Proceedings of the 3rd Workshop on Visualisation in Environmental Sciences, 2015
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2015
Enhanced recovery of subsurface geological structures using compressed sensing and the Ensemble Kalman filter.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
IEEE Trans. Vis. Comput. Graph., 2014
Hybrid nested sampling algorithm for Bayesian model selection applied to inverse subsurface flow problems.
J. Comput. Phys., 2014
Low-complexity wireless monitoring of respiratory movements using ultra-wideband impulse response estimation.
Biomed. Signal Process. Control., 2014
A Greedy Approach for Placement of Subsurface Aquifer Wells in an Ensemble Filtering Framework.
Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014
A One-Step-Ahead Smoothing-Based Joint Ensemble Kalman Filter for State-Parameter Estimation of Hydrological Models.
Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014
2013
An iterative stochastic ensemble method for parameter estimation of subsurface flow models.
J. Comput. Phys., 2013
Visual analysis of uncertainties in ocean forecasts for planning and operation of off-shore structures.
Proceedings of the IEEE Pacific Visualization Symposium, 2013
2001
Filtres de Kalman réduits et efficaces pour l'assimilation de données en océanographie. (Efficient reduced Kalman filters for data assimilation in oceanography).
PhD thesis, 2001