• Community Detection in Multilayer Networks: Challenges, Opportunities and Applications 

  Boukabene, Randa; Benbouzid-Si Tayeb, Fatima (Université Frères Mentouri - Constantine 1, 2024-10-25)

  Community detection represents a highly promising area of research; however, the analysis of networks characterized by multiple types of relationships called multilayer networks remains underexplored, presenting ...
• Leveraging AI for Advancements in Qualitative Research Methodology 

  Haouam, Ilyas (Université Frères Mentouri - Constantine 1, 2024-10-25)

  This study explores the various Artificial Intelligence (AI) technologies, such as natural language processing and machine learning, that enhance qualitative re search processes. AI's capabilities streamline data ...
• Machine Learning Clustering Techniques for IoT Networks: Comparative Study 

  Bengherbia, Ayoub; Madaci, Wissal2;; Bouterfif, Asma (Université Frères Mentouri - Constantine 1, 2024-10-25)

  Clustering is the process of dividing a sample of data points into groups called clusters. Nodes in the same group share some commonalities, while every group differs from others. In this paper, we compare multiple ...
• Analyse de la stabilité et diagnostic du chaos dans les systèmes dynamiques discrets avec applications. 

  BENTOUIL Asma; BENKHELIFA Hadil; ZERIMECHE Hadjer (Université Frères Mentouri Constantine 1, 2024)

  The objective of this work is to study discrete dynamical systems, introducing fundamental concepts such as stability, bifurcation, and chaos. We will then apply these concepts to a discrete-time predator-prey system with ...
• Méthode d’approximation pour quelques problèmes dépendants du temps 

  Azzi Aïda; Hayoun Rayene (Université Frères Mentouri Constantine 1, 2024)

  This work provides insight into the application of the Galerkin method for solving two boundary value problems. The first problem deals with bidimensional linear Schrödinger parabolic partial differential equations, and ...

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