Éditeur University of Saida - Dr Moulay Tahar. Faculty: Mathematics, Computer Science and Telecommunications Department: Mathematics
Documents disponibles chez cet éditeur (5)
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AOUINANE Khadidja, Auteur ; OUESSAI Asmâa, Directeur de thèse | University of Saida - Dr Moulay Tahar. Faculty: Mathematics, Computer Science and Telecommunications Department: Mathematics | 2025/2026
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BEKKOUCHE Yasser, Auteur ; CHAREF Hicham, Auteur ; Benyahia Miloud, Directeur de thèse | University of Saida - Dr Moulay Tahar. Faculty: Mathematics, Computer Science and Telecommunications Department: Mathematics | 20235/2026Abstract Data quality has become a fundamental issue in modern information systems, due to the continuous growth of data generated from multiple heterogeneous sources. One of the most important tasks in this field is Record Linkage (RL), whic[...]
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HASSANI Maroua, Auteur ; MEKKAOUI Imane, Directeur de thèse | University of Saida - Dr Moulay Tahar. Faculty: Mathematics, Computer Science and Telecommunications Department: Mathematics | 2025/2026Stochastic differential equations (SDE) play an important role in modeling random phenomena in many scientific fields, including finance, physics, and engineering. Classical numerical techniques, including Euler−Maruyama, or Monte Carlo are c[...]
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ALLALI Hafsa, Auteur ; Rouane Rachida, Directeur de thèse | University of Saida - Dr Moulay Tahar. Faculty: Mathematics, Computer Science and Telecommunications Department: Mathematics | 2025/2026This thesis examines the theoretical foundations and practical applications of two regression approaches: Multiple Linear Regression (MLR) and Neural Network Regression (NNR). The study begins by establishing a robust mathematical framework fo[...]
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Chabane Djamila, Auteur ; Mekkaoui Imen, Directeur de thèse ; Kebiri Omar, Directeur de thèse | University of Saida - Dr Moulay Tahar. Faculty: Mathematics, Computer Science and Telecommunications Department: Mathematics | 2025/2026This thesis develops and analyzes a stochastic epidemic model incorporating Lévy jump processes to capture the discontinuous, which classical deterministic and Brownian motion driven models fail to represent. The work begins by formulating a [...]
