University of Bordj Bou Arreridj
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- كلية الحقوق والعلوم السياسية
- كلية الآداب واللغات
- كلية الرياضيات و الأعلام الآلي
- كلية علوم الطبيعة و الحياة و علوم الأرض و الكون
- كلية العلوم الاقتصادية والتجارية وعلوم التسيير
- Faculté des sciences et de la technologie
- كلية العلوم الاجتماعية والإنسانية
Recent Submissions
Issues de la simulation basée crowdsourcing pour l’informatique verte
(university of bordj bou arreridj, 2025) Bilal BENCHARIF
In this thesis, we propose an innovative approach to optimize logistics systems by
integrating crowdsourced real-time data collected via the Google Distance Matrix API.
By leveraging a probabilistic tabu search algorithm, we have developed a framework ai med at improving the management of delivery routes in the context of green computing.
Experiments conducted on both simulated and real data reveal that speed has a decisive
impact on energy consumption. Furthermore, the analysis demonstrates that the trave led distance alone is not a reliable indicator of energy usage—indeed, a longer route does
not necessarily imply higher energy consumption, especially when coupled with optimized
traffic conditions. These results underscore the potential of collaborative approaches in
transforming sustainable logistics and open up new perspectives for optimizing transpor tation syste
Accélération de la convergence de méthodes numériques pour résoudre des équations intégrales
(university of bordj bou arreridj, 2025) ABDENNEBI Issam
The research work presented in this thesis focuses on improving the convergence speed of
numerical methods for solving integral equations. These equations often introduce a very
complex behavior, posing significant challenges to traditional numerical techniques, par ticularly in terms of convergence and accuracy. To address these challenges, we have de veloped and analyzed an adaptive spectral collocation method for Fredholm and Volterra
integral equations of the second kind, which can achieve fast convergence and high ac curacy despite the fact that its solution exhibits localized rapid variations, steep gradi ents, or a steep front. Adaptivity is implemented using a suitable family of one-to-one
mappings to generate a new equation with smoother behavior that can be approximated
more accurately. The proposed method can achieve exponential accuracy by adjusting a
parameter-dependent mapping in the modal approximation according to the given data.
Finally, several numerical examples are given to show that the proposed method is prefer able to its classical method and some other existing approaches with a relatively smaller
number of degrees of freedom
مطبوعة محاضرات في مقياس قانون المجتمع الدولي
(مكتبة كلية الحقوق والعلوم السياسية - جامعة محمد البشير الابراهيمي برج بوعريريج, 2025-06-17) صديقي سامية
مقايس الطرق البديلة لفض المنازعات الالكترونية
(مكتبة كلية الحقوق والعلوم السياسية - جامعة محمد البشير الابراهيمي برج بوعريريج, 2025-06-17) صديقي سامية
محاضرات في مقياس قانون الاعمال
(مكتبة كلية الحقوق والعلوم السياسية - جامعة محمد البشير الابراهيمي برج بوعريريج, 2025-06-15) صليحة بوجادة