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Prof. Johan Debayle FIET, FIACSIT, FISAC, FETDIS, SMIEEE 
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Publications of year 2023
Articles in journal, book chapters
- I. Al Saidi,
M. Rziza,
and J. Debayle.
Completed homogeneous LBP for remote sensing image classification.
International Journal of Remote Sensing,
44(12):3815-3836,
2023.
[bibtex-entry]
- K. Dia,
F. Lamadie,
and J. Debayle.
Retrieving mean volumetric properties of multiphase flows from 2D images: A new approach combining deep learning algorithms and 3D modelling.
Chemical Engineering Science,
279(118933):1-12,
2023.
[bibtex-entry]
- A Kumar,
J. Debayle,
and J. Zhang.
Special Section Guest Editorial: Exploration of Vigorous Privacy Preserving Models using Deep Learning in Digital Media.
Advances in Multimedia,
2023.
[bibtex-entry]
- D.-W. Prabowo,
H. Nugroho,
N.-A. Setiawan,
and J. Debayle.
A systematic literature review of emotion recognition using EEG signals.
Cognitive Systems Research,
82(11152),
2023.
[bibtex-entry]
- D.-W. Prabowo,
N.-A. Setiawan,
J. Debayle,
and H. Nugroho.
Asymmetric Windowing Recurrence Plots on Input Formulation for Human Emotion Recognition.
TechRxiv,
December 2023.
[bibtex-entry]
- M. Prioux,
E. Da Rosa Silva,
M. Hubert,
J. Vulliet,
J. Debayle,
P. Cloetens,
and J. Laurencin.
Numerical Microstructural Optimization for the Hydrogen Electrode of Solid Oxide Cells.
Fuel Cells,
2023.
[bibtex-entry]
- L. Théodon,
C. Coufort-Saudejaud,
and J. Debayle.
GRAPE: A stochastic geometrical 3d model for aggregates of particles with tunable 2d morphological projected properties.
Image Analysis and Stereology,
42(1):1-16,
2023.
[bibtex-entry]
- L. Théodon,
J. Debayle,
and C. Coufort-Saudejaud.
Morphological characterization of aggregates and agglomerates by image analysis: A systematic literature review.
Powder Technology,
430(119033):1-23,
2023.
[bibtex-entry]
Conference articles
- Preface.
In J. Debayle, editor,
3rd International Conference on Neural Networks, Information and Communication Engineering (NNICE),
pages 1-2,
2023.
IEEE.
[bibtex-entry]
- A. Bottenmuller,
L. Théodon,
J. Debayle,
D.T. Vélez,
M. Tourbin,
C. Frances,
and Y. Gavet.
Granulometric Analysis of Maltodextrin Particles Observed by Scanning Electron Microscopy.
In 13th IEEE International Conference on Pattern Recognition Systems (ICPRS),
2023.
[bibtex-entry]
- A. Bottenmuller,
L. Théodon,
J. Debayle,
D.T. Vélez,
M. Tourbin,
C. Frances,
and Y. Gavet.
Une approche pour l’analyse granulométrique de particules condensées sur des images en niveaux de gris.
In Conference of GRETSI,
Grenoble, France,
August 2023.
[bibtex-entry]
- D.-W. Prabowo,
H. Nugroho,
N.-A. Setiawan,
and J. Debayle.
An Advanced Data Augmentation Scheme on Limited EEG Signals for Human Emotion Recognition.
In 3rd International Conference on Electronics, Biomedical Engineering, and Health Informatics (ICEBEHI),
Surabaya, Indonesia,
pages 391-409,
October 2023.
[bibtex-entry]
- L. Théodon,
C. Coufort-Saudejaud,
A. Hamieh,
and J. Debayle.
Morphological characterization of compact aggregates using image analysis and a geometrical stochastic 3D model.
In 13th IEEE International Conference on Pattern Recognition Systems (ICPRS),
Guyaquil, Ecuador,
pages 1-7,
July 2023.
[bibtex-entry]
- L. Théodon, K. Dia, J. Debayle, and F. Lamadie. STORMFLOW: a STOchastic geometRical model for Multiphase FLOW characterization. In 11th International Conference on Multiphase Flow (ICMF), Kobe, Japan, April 2023. [bibtex-entry]
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Last modified: Fri May 3 10:09:06 2024
Author: debayle
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