OUJAOURA Mustapha - Profil du chercheur

Informations du chercheur

Nom complet

OUJAOURA Mustapha

Grade

Spécialité

Mathématique-Informatique

Thématique de recherche

Computer apprentissage automatique et reconnaissance des formes, machine Learning et deep Learning, analyse et science des données, traitement d'informations et prise de décision, vision par ordinateur et intelligence artificielle, recherche et indexation d’images, annotation et traitement d'images, analyse et compréhension de la vidéo.

Laboratoire

Laboratoire de Mathématiques Informatiques et Système de Communication (MISCOM)

Établissement

Ecole Nationale des Sciences Appliquées Safi

Ouvrages (1 au total)

"Intelligent Systems in Big Data, the Semantic Web, and Machine Learning", Advances in Intelligent Systems and Computing

Auteur: Mustapha OUJAOURA, Brahim MINAOUI

Année: 2021

Éditeur: Springer

Projets (1 au total)

Rationalisation de l'utilisation de l'eau agricole des couverts annuels et pérennes par télédétection Radar en méditerranée semi-aride

Type: Non spécifié

Début: 01/01/2020

Fin: 31/12/2022

Organisme financeur:

PHC Toubkal

Publications (11 au total)

Decoding Face Attributes: A Modified AlexNet Model with Emphasis on Correlation-Heterogeneity Relationship Between Facial Attributes

Auteur: Abdelaali Benaiss, Otman Maarouf, Rachid El Ayachi, Mohamed Biniz, Mustapha Oujaoura

Revue: International Journal of Advanced Computer Science and Applications

Année: 2025

DOI: 10.14569/ijacsa.2025.0160198

One level deep convolutional neural network for facial key points detection

Auteur: Abdelaali Benaiss, Rachid El Ayachi, Mohamed Biniz, Mustapha Oujaoura

Revue: Indonesian Journal of Electrical Engineering and Computer Science

Année: 2024

DOI: 10.11591/ijeecs.v33.i3.pp1694-1704

AN IMPROVED REAL-TIME HANDGUN DETECTION SYSTEM USING YOLO V5 ON A NOVEL DATASET

Auteur: Rahil Imane, Bouarifi Walid, Ghizlane Rahil, Mustapha Oujaoura

Revue: Journal of Theoretical and Applied Information Technology

Année: 2023

ADVANCING REAL-TIME VIDEO VIOLENCE DETECTION: A DEEP LEARNING APPROACH WITH INTEGRATED TELEGRAM ALERTING

Auteur: Rahil Imane, Bouarifi Walid, Mustapha Oujaoura, Ghizlane Rahil

Revue: Journal of Theoretical and Applied Information Technology

Année: 2023

A Review of Computer Vision Techniques for Video Violence Detection and intelligent video surveillance systems

Auteur: Imane Rahil, Walid Bouarifi, Mustapha Oujaoura

Revue: International Journal of Advanced Trends in Computer Science and Engineering

Année: 2022

DOI: 10.30534/ijatcse/2022/051122022

A new synergistic approach for crop discrimination in a semi-arid region using Sentinel-2 time series and the multiple combination of machine learning classifiers

Auteur: A Moumni, M Oujaoura, J Ezzahar, A Lahrouni

Revue: Journal of Physics: Conference Series

Année: 2021

DOI: 10.1088/1742-6596/1743/1/012026

Combination and Fusion of some 2D Invariant Moments with Generative and Discriminative classifiers for Recognition of Isolated Handwritten Tifinagh Characters

Auteur: M. OUJAOURA, I.RAHIL, W. BOUARIFI and A. ATLAS

Revue: Annals of the University of Craiova, Mathematics and Computer Science Series

Année: 2019

Grouping K-Means Adjacent Regions for Semantic Image Annotation Using Bayesian Networks

Auteur: Mustapha Oujaoura, Rachid El Ayachi, Brahim Minaoui, Mohammed Fakir, Omar Bencharef

Revue: 2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)

Année: 2016

DOI: 10.1109/cgiv.2016.54

A semantic hybrid approach based on grouping adjacent regions and a combination of multiple descriptors and classifiers for automatic image annotation

Auteur: Mustapha OUJAOURA, Brahim MINAOUI and Mohammed FAKIR

Revue: Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications - Springer

Année: 2016

1 2 Suivant »

Communications (9 au total)

Deepfake Detection in Highly Compressed Data

Manifestation: Colloque international sur l'intelligence artificielle et ses applications

Date: 2024-06-01

Organisation: Casablanca, Morocco

MACHINE LEARNING TECHNIQUES FOR ANALYZING CROWD MOVEMENT AND DETECTING VIOLENCE

Manifestation: INTERNATIONAL HARRAN CONGRESS ON SCIENTIFIC RESEARCH

Date: 2023-12-08

Organisation: Urfa, TURKEY

MACHINE LEARNING TECHNIQUES FOR ANALYZING CROWD MOVEMENT AND DETECTING VIOLENCE

Manifestation: INTERNATIONAL HARRAN CONGRESS ON SCIENTIFIC RESEARCH

Date: 2023-12-08

Organisation: Urfa, TURKEY

The application of machine learning techniques for public security: An intelligent monitoring system to identify the faces of wanted and sought-after people by studying the facial features through neural network mechanisms for the state of Marrakech

Manifestation: Numerical Analysis AND Optimization Days (JANO'13)

Date: 2021-02-23

Organisation: Khouribga, Morocco

A new synergistic approach for crop discrimination in a semi-arid region using Sentinel-2 time series and the multiple combination of machine learning classifiers

Manifestation: International Conference on Mathematics & Data Science (ICMDS 2020)

Date: 2020-06-01

Organisation: Khouribga, Morocco

Comparison of some feature selection methods from big database

Manifestation: The third International Conference on Modeling and Scientific Computing in Mathematical Engineering (MOCASIM2018)

Date: 2018-11-27

Organisation: Marrakesh, Morocco

Combination and Fusion of some 2D Invariant Moments with Generative and Discriminative classifiers for Recognition of Isolated Handwritten Tifinagh Characters

Manifestation: The third International Conference on Modeling and Scientific Computing in Mathematical Engineering (MOCASIM2018)

Date: 2018-11-26

Organisation: Marrakesh, Morocco

Grouping K-Means Adjacent Regions for Semantic Image Annotation Using Bayesian Networks

Manifestation: 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)

Date: 2016-04-01

Organisation: Beni Mellal, Morocco

Toward an Effective Combination of multiple Visual Features for Semantic Image Annotation

Manifestation: The 2nd International Conference on Business Intelligence (CBI’15)

Date: 2015-04-23

Organisation: Beni Mellal, Morocco

Thèses (1 au total)

Real-time Machine Learning Approaches for Automatic Violence Detection in Video surveillance

Auteur: Imane RAHIL

Directeur: Walid BOUARIFI, Mustapha OUJAOURA

Soutenance: 2024

Informations du chercheur

Nom complet

Grade

Spécialité

Thématique de recherche

Laboratoire

Établissement

Ouvrages (1 au total)

"Intelligent Systems in Big Data, the Semantic Web, and Machine Learning", Advances in Intelligent Systems and Computing

Projets (1 au total)

Rationalisation de l'utilisation de l'eau agricole des couverts annuels et p&eacute;rennes par t&eacute;l&eacute;d&eacute;tection Radar en m&eacute;diterran&eacute;e semi-aride

Publications (11 au total)

Decoding Face Attributes: A Modified AlexNet Model with Emphasis on Correlation-Heterogeneity Relationship Between Facial Attributes

One level deep convolutional neural network for facial key points detection

AN IMPROVED REAL-TIME HANDGUN DETECTION SYSTEM USING YOLO V5 ON A NOVEL DATASET

ADVANCING REAL-TIME VIDEO VIOLENCE DETECTION: A DEEP LEARNING APPROACH WITH INTEGRATED TELEGRAM ALERTING

A Review of Computer Vision Techniques for Video Violence Detection and intelligent video surveillance systems

A new synergistic approach for crop discrimination in a semi-arid region using Sentinel-2 time series and the multiple combination of machine learning classifiers

Combination and Fusion of some 2D Invariant Moments with Generative and Discriminative classifiers for Recognition of Isolated Handwritten Tifinagh Characters

Grouping K-Means Adjacent Regions for Semantic Image Annotation Using Bayesian Networks

A semantic hybrid approach based on grouping adjacent regions and a combination of multiple descriptors and classifiers for automatic image annotation

Communications (9 au total)

Deepfake Detection in Highly Compressed Data

MACHINE LEARNING TECHNIQUES FOR ANALYZING CROWD MOVEMENT AND DETECTING VIOLENCE

MACHINE LEARNING TECHNIQUES FOR ANALYZING CROWD MOVEMENT AND DETECTING VIOLENCE

The application of machine learning techniques for public security: An intelligent monitoring system to identify the faces of wanted and sought-after people by studying the facial features through neural network mechanisms for the state of Marrakech

A new synergistic approach for crop discrimination in a semi-arid region using Sentinel-2 time series and the multiple combination of machine learning classifiers

Comparison of some feature selection methods from big database

Combination and Fusion of some 2D Invariant Moments with Generative and Discriminative classifiers for Recognition of Isolated Handwritten Tifinagh Characters

Grouping K-Means Adjacent Regions for Semantic Image Annotation Using Bayesian Networks

Toward an Effective Combination of multiple Visual Features for Semantic Image Annotation

Thèses (1 au total)

Real-time Machine Learning Approaches for Automatic Violence Detection in Video surveillance

Rationalisation de l'utilisation de l'eau agricole des couverts annuels et pérennes par télédétection Radar en méditerranée semi-aride