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)

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

Auteur: Brahim MINAOUI, Mustapha OUJAOURA, Mohammed FAKIR, and Mohammed SAJIEDDINE

Revue: TELKOMNIKA Indonesian Journal of Electrical Engineering

Année: 2015

Data set for Tifinagh handwriting character recognition

Auteur: Omar BENCHAREF, Younes CHIHAB, Nouredine MOUSAID and Mustapha OUJAOURA

Revue: ELSEVIER Data in Brief journal

Année: 2015

« Précédent 1 2

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)

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

Data set for Tifinagh handwriting character recognition

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