• Contribution à la fouille de données imparfaites 

  SEDDIKI, Imane (UNIVERSITY BBA, 2024)

  Sequential rule mining is a technique in the field of data mining that allows one for the discovery of temporal relationships between events and for making predictions. The discovery of temporal relationships between ...
• Classification automatique de la maladie de Parkinson à partir de la voix 

  Dahili, Ahlem; Benmessahel, Samira (Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science, 2024)

  Abstract Speech analysis is a promising approach for early and automated diagnosis of Parkinson's disease. This non-invasive and inexpensive method relies on the characteristic voice changes of the disease, present ...
• Suivre les rumeurs dans les réseaux sociaux 

  LAALAOUI, Moun; LAHRI, Sarah (Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science, 2024)

  The emergence of the Internet has transformed global communications, making information accessible at unprecedented speeds. With the emergence of social media, people can now connect, share and interact immediately ...
• L'autonomie de l'apprentissage : le e-learning à travers la plateforme Moodle. Cas des étudiants de première année licence français Université Mohamed El Bachir El Ibrahimi BBA 

  -Dounia, MEZHOUD; - Amel BEN, REDOUANE; - Maria, RAHMANI (Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science, 2024)
• L’Apprentissage Automatique Pour La Prédiction De Lien Dans Les Réseaux Complexes 

  BOUABDALLAH, Maroua; DRIAI, Ibtissem (Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science, 2024)

  This work explores graph theory concepts to model and analyze complex networks with an emphasis on the use of machine learning. Methods examined include similarity measures based on common neighbors, measures based on ...
• فهرس الكتب الإعلام الآلي 

  Unknown author (Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science, 2024)
• Approche Multifacette pour la Maladie du Foie : Prédiction, Méta-Classification et Simulation de la Migration entre Stades 

  Nouioua, Imene; Nouioua Ratiba, Ratiba (Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science, 2024)

  hronic diseases, especially those affecting the liver, pose a major challenge to global heal thcare systems. In this dissertation, we have explored various aspects from prediction to simula ting the migration between stages ...
• Développement et Évaluation d'un Système de Reconnaissance Faciale Basé sur le Classificateur Deep Rule-Based (DRB) 

  Belkhiri, khawla; Sahli maissa, maissa (Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science, 2024)

  Facial recognition systems have become one of the most widely used systems in the fields of security and surveillance. Despite significant technological advancements, their performance is still affected by changes in ...
• Prédiction des tumeurs cérébrales dans les images IRM par l’apprentissage profond 

  MERDJI, Saida; REBIAI, Soria (Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science, 2024)

  TThe accurate diagnosis of contemporary diseases heavily relies on the processing of medical images. This study introduces an interesting approach for automated detection of brain tumors from magnetic resonance imaging ...
• Découverte de règles de fouille de motifs dans les bases de données transactionnelles 

  Miloudi, Fatima; Zohra Hammadi Moncef, Hammadi Moncef (Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science, 2024)

  A major problem in data mining is High Utility Pattern Mining (HUPM), which seeks to find combinations of items that have a significant impact on a specific metric, such as sales, profits or customer satisfaction. Due ...
• L’apprentissage profond pour la reconnaissance des macro-expressions 

  Merrouche, Said; Ben Merrouche, Imad el hak (Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science, 2024)

  Recognition of human emotions, particularly through facial expressions, has recently garnered a lot of research attention. Advanced deep learning and machine learning techniques have been employed to analyze the CK+ ...
• Reconnaissance d’Oreilles Basée sur l’Apprentissage Profond : Améliorer la Précision et la Performance dans des Scénarios Réels 

  RAHMANI, Sara (UNIVERSITY BBA, 2024)

  Automatic recognition of individuals from ear images is a rapidly growing research field, competitive with other biometrics such as facial recognition and fingerprints. The ear offers unique and stable characteristics ...
• Stratégies De Digitalisation Des Entreprises Étude De Cas « L’entreprise Condor » 

  Mazit Nassima (UNIVERSITY BBA, 2024)

  Digitalization has become an essential process in the modern world, offering several benefits such as improving access to services, reducing operational costs, making faster decisions through real-time data analysis, and ...
• VALIDATION D’UNE RÉCITATION CORANIQUE EN UTILISANT UN CNN 

  Chouitah, Marwa; Benslimane, Benslimane Aya (UNIVERSITY BBA, 2024)

  The Quran is considered the primary source of Islamic law, but many find it difficult to memorize and recite it accurately. Deep learning models have emerged as an effective means to facilitate this process. In this work, ...
• Revue Syst´ematique de la Litt´erature sur les M´ethodes d’Apprentissage Automatique pour l’Analyse des Big Data avec une ´ Etude de Cas 

  SAADI, Imane; - BORDJI, Zahra (UNIVERSITY BBA, 2024)

  With the explosion of data volume generated daily, Big Data has become a major concern across various domains. The significance of Big Data lies in its ability to provide valuable insights and facilitate informed ...
• La Reconnaissance du Langage Offensant dans le Contenu Arabe en Ligne 

  Boussouf, Silia (UNIVERSITY BBA, 2024)

  In this study, we addressed the issue of detecting offensive language on social media in Arabic, a language often underrepresented in natural language processing (NLP) research. By leveraging a recently published public ...
• Stabilité et convergence des méthodes spectrales Application aux équations intégrales 

  Radjai, abir (Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science, 2024)

  In recent years, there has been a growing interest in the formulation of many problems in terms of integral equations, and this has fostered a parallel rapid growth of the literature on their numerical solution. In this ...
• Segmentation des tumeurs cérébrales dans des images IRM par la méthode U-Net 

  NOUIRI, Lahcene; DERRECHE, Seddik (UNIVERSITY BBA, 2024)

  The processing of medical images, especially those obtained by magnetic resonance imaging (MRI), is important for diagnosing certain diseases such as brain tumors. In this study, we propose a method to automatically ...
• Sélection d'ensemble de caractéristiques pour les systèmes de détection d'intrusion 

  Bousmaha, Fatima; Zohra, Mebarkia Ala (UNIVERSITY BBA, 2024)

  This dissertation focuses on the problem of attacks and intrusions into information systems, with particular emphasis on computer security and intrusion detection systems (IDS). It discusses and analyzes various intelligent ...
• Sécurité dans les VANETs : Une solution hybride basée sur le changement des pseudonymes 

  KADJOUTI, Rayane; HAKKAS, Yousra (UNIVERSITY BBA, 2024)

  In VANETs, each vehicle periodically exchanges sensitive data such as its position and speed with neighboring vehicles. However, this information exchange raises a privacy issue related to the potential tracking of vehicles ...

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