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Ibrahim Hoteit

Researcher at King Abdullah University of Science and Technology

Publications -  373
Citations -  7598

Ibrahim Hoteit is an academic researcher from King Abdullah University of Science and Technology. The author has contributed to research in topics: Data assimilation & Ensemble Kalman filter. The author has an hindex of 39, co-authored 316 publications receiving 5869 citations. Previous affiliations of Ibrahim Hoteit include Scripps Institution of Oceanography & University of California, San Diego.

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National scale agricultural development dynamics under socio-political drivers in Saudi Arabia since 1990

TL;DR: In this article , the authors leveraged a hybrid machine learning framework by implementing Density-Based Spatial Clustering of Applications with Noise, Convolutional Neural Networks, and Spectral clustering in a stepwise manner to delineate the center pivot fields on a national scale in Saudi Arabia using historical Landsat imagery.
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Parallel- and Cyclic-Iterative Variational Bayes for Fast Kalman Filtering in Large-Dimensions

TL;DR: In this article , a hybrid scheme combining KF with variational Bayes (VB), an approach that designs an approximation of the filtering probability density function (pdf) based on a separable form under the Kullback-Leibler divergence minimization criterion, has been proposed.
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Hindrance effect of tides on water exchanges between the Red Sea and the Gulf of Aden

TL;DR: In this article , a three-dimensional high-resolution nonhydrostatic MIT general circulation model (MITgcm) was used to investigate the tidal influence on the water exchange in the Bab-al-Mandeb (BAM) strait through simulations with and without tidal forcing.
Posted ContentDOI

Using LiDAR on a Ground-based Agile Robot to Map Tree Structural Properties

TL;DR: In this paper , an agile quadruped robot, Spot from Boston Dynamics, and a mounted LiDAR system were used for mapping and measuring tree height, diameter at breast height (DBH), and tree volume.
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A Lagrangian model-based physical connectivity atlas of the Red Sea coral reefs

TL;DR: In this article , a high-resolution circulation-driven physical connectivity atlas covering every Red Sea coral reef, including seasonality, was simulated and further validated against available in-situ genetic datasets.