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Boujemaa AIT EL FQUIH
Boujemaa AIT EL FQUIH
Research Scientist, KAUST
Verified email at kaust.edu.sa
Title
Cited by
Cited by
Year
Estimating model‐error covariances in nonlinear state‐space models using Kalman smoothing and the expectation–maximization algorithm
D Dreano, P Tandeo, M Pulido, B Ait‐El‐Fquih, T Chonavel, I Hoteit
Quarterly Journal of the Royal Meteorological Society 143 (705), 1877-1885, 2017
682017
An iterative ensemble Kalman filter with one-step-ahead smoothing for state-parameters estimation of contaminant transport models
ME Gharamti, B Ait-El-Fquih, I Hoteit
Journal of Hydrology 527, 442-457, 2015
602015
Kalman filtering in triplet Markov chains
B Ait-El-Fquih, F Desbouvries
IEEE Transactions on Signal Processing 54 (8), 2957-2963, 2006
582006
A two-update ensemble Kalman filter for land hydrological data assimilation with an uncertain constraint
M Khaki, B Ait-El-Fquih, I Hoteit, E Forootan, J Awange, M Kuhn
Journal of Hydrology 555, 447-462, 2017
532017
Towards an end-to-end analysis and prediction system for weather, climate, and marine applications in the red sea
I Hoteit, Y Abualnaja, S Afzal, B Ait-El-Fquih, T Akylas, C Antony, ...
Bulletin of the American Meteorological Society 102 (1), E99-E122, 2021
442021
Data assimilation in oceanography: Current status and new directions
I Hoteit, X Luo, M Bocquet, A Kohl, B Ait-El-Fquih
New frontiers in operational oceanography, 465-512, 2018
442018
A variational Bayesian multiple particle filtering scheme for large-dimensional systems
B Ait-El-Fquih, I Hoteit
IEEE Transactions on Signal Processing 64 (20), 5409-5422, 2016
422016
A Bayesian consistent dual ensemble Kalman filter for state-parameter estimation in subsurface hydrology
B Ait-El-Fquih, M El Gharamti, I Hoteit
Hydrology and Earth System Sciences 20 (8), 3289-3307, 2016
392016
Enhanced flood forecasting through ensemble data assimilation and joint state-parameter estimation
MG Ziliani, R Ghostine, B Ait-El-Fquih, MF McCabe, I Hoteit
Journal of Hydrology 577, 123924, 2019
382019
Efficient kernel-based ensemble Gaussian mixture filtering
B Liu, B Ait-El-Fquih, I Hoteit
Monthly Weather Review 144 (2), 781-800, 2016
382016
Fast Kalman-like filtering for large-dimensional linear and Gaussian state-space models
B Ait-El-Fquih, I Hoteit
IEEE Transactions on Signal Processing 63 (21), 5853-5867, 2015
352015
Direct, prediction-and smoothing-based Kalman and particle filter algorithms
F Desbouvries, Y Petetin, B Ait-El-Fquih
Signal processing 91 (8), 2064-2077, 2011
322011
On Bayesian fixed-interval smoothing algorithms
B Ait-El-Fquih, F Desbouvries
IEEE Transactions on Automatic Control 53 (10), 2437-2442, 2008
312008
Unsupervised ensemble Kalman filtering with an uncertain constraint for land hydrological data assimilation
M Khaki, B Ait-El-Fquih, I Hoteit, E Forootan, J Awange, M Kuhn
Journal of Hydrology 564, 175-190, 2018
302018
A fixed-lag particle smoother for blind SISO equalization of time-varying channels
A Guimarães, B Ait-El-Fquih, F Desbouvries
IEEE transactions on wireless communications 9 (2), 512-516, 2010
232010
Calibrating land hydrological models and enhancing their forecasting skills using an ensemble Kalman filter with one-step-ahead smoothing
M Khaki, B Ait-El-Fquih, I Hoteit
Journal of Hydrology 584, 124708, 2020
172020
Unsupervised signal restoration in partially observed Markov chains
BA El Fquih, F Desbouvries
2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006
162006
A reduced-order variational Bayesian approach for efficient subsurface imaging
D Urozayev, B Ait-El-Fquih, I Hoteit, D Peter
Geophysical Journal International 229 (2), 838-852, 2022
152022
Ensemble Kalman filtering with one-step-ahead smoothing
NF Raboudi, B Ait-El-Fquih, I Hoteit
Monthly Weather Review 146 (2), 561-581, 2018
152018
Parametric Bayesian estimation of point-like pollution sources of groundwater layers
B Ait-El-Fquih, JF Giovannelli, N Paul, A Girard, I Hoteit
Signal Processing 168, 107339, 2020
142020
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Articles 1–20