University of Bordj Bou Arreridj

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Faculté de droit et des sciences politiques
كلية الحقوق والعلوم السياسية
Faculté des lettres et des langues
كلية الآداب واللغات
Faculté des mathématiques et de l'informatique
كلية الرياضيات و الأعلام الآلي
Faculté des sciences de la nature et de la vie et sciences de la terre et de l'univers
كلية علوم الطبيعة و الحياة و علوم الأرض و الكون
Faculté des sciences économiques, commerciales et des sciences de gestion
كلية العلوم الاقتصادية والتجارية وعلوم التسيير
Faculté des sciences et de la technologie
Faculté des sciences et de la technologie
Faculté des sciences sociales et humaines
كلية العلوم الاجتماعية والإنسانية

Recent Submissions

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تأثير التدريب الرقمي على الآداء الوظيفي للموظفين بالمؤسسة الصحية

(علم اجتماع تنظيم و عمل, 2025) مرزوقي اكرام

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Stochastic viability under the flow of a stochastic equation (Itô - Stratonovich) and application "the kubo oscillator equation"

(Université Mohamed El Bachir El Ibrahimi B.B.A., 2025) Yazid Aya

In thiswork,we study the invariance property of the solution of the Kubo oscillator equation under a stochastic model, following a review of stochastic calculus and the concepts of invariance and viability in both deterministic and stochastic settings.

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A Hybrid Genetic Algorithm to Solve the Container Loading Problem in Condor Logistics

(Université Mohamed El Bachir El Ibrahimi B.B.A., 2025) Benabida Sif Eddine

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(Université Mohamed El Bachir El Ibrahimi B.B.A., 2025) Ouali Aya; Zitouni Rayane

Abstract This thesis addresses the problem of link prediction in complex networks, a critical task for anticipating the emergence of connections between entities. We specifically focus on global similarity methods, which leverage the entire network structure to estimate the likelihood of a link between two nodes. Five methods are studied and compared : Shortest Path, SimRank, Newton’s Gravitational Law Index (NGLI), Katz Index, and Common Neighbor Distance (CND). After presenting the theoretical foundations of graph theory and complex networks, we implemented these methods using Python and applied them to several real-world networks from different domains (biology, transportation, social networks, etc.). The performance of each method was evaluated using standard metrics such as precision, recall, F-measure, and accuracy. The results show that each method has its strengths depending on the network structure, and no single method consistently outperforms the others. This study thus provides valuable insights to guide the choice of link prediction techniques based on specific application contexts.

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Etude du problème d’optimisation de la distribution d’eau Cas de la ville de Bordj Bou Arréridj

(Université Mohamed El Bachir El Ibrahimi B.B.A., 2025) Anfel BEN ABBES; Houda TAIAR

Optimizing water distribution is a crucial challenge in urban planning and infrastructure management. This work is part this strategic axis, which deals with the problem of optimizing water distribution in the city of Bordj Bou Arreridj, by reducing the energy consumption of pumps while ensuring an efficient distribution plan. This problem was modeled as a linear program composed of two objective functions and several constraints that guarantee pumping optimization while satisfying the needs of all areas of the city of Bordj. For the resolution, we used the Python programming language and the package "Pulp". The results obtained show the optimization made on the current energy bill.