2025Open access1cites
A Lattice Boltzmann Method for Image Inpainting Inspired by Fluid DynamicsEuropean Journal of Pure and Applied Mathematics, Generative Adversarial Networks and Image Synthesis
Active, last published 2026
In generative adversarial networks and image synthesis
Yassine
Douich
“Research focused on Generative Adversarial Networks and Image Synthesis and adjacent fields.”
Chouaib Doukkali UniversityMorocco
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Claim Your Profile01 · About the work
What I study
assine Douich is a researcher working on Generative Adversarial Networks and Image Synthesis. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Yassine's work has been cited 1 times across 2 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
05 · Research focus
Topics
Generative Adversarial Networks and Image Synthesis×2Advanced Neural Network Applications×1Robot Manipulation and Learning×1Image and Signal Denoising Methods×1Lattice Boltzmann Simulation Studies×1
06 · Where I am
Affiliations
CurrentlyChouaib Doukkali University, Morocco
07 · Selected work
Recent publications
2026
Eikonal equation solved with a novel Lattice Boltzmann method frameworkNumerical Algorithms, Lattice Boltzmann Simulation Studies
2026
Radial Basis Function Neural Networks for Collision Learning and Mask Detection in Image InpaintingCommunications in computer and information science, Generative Adversarial Networks and Image Synthesis
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