Les EDP évolutives sont considérées comme l'un des piliers fondamentaux des mathématiques modernes. Cette thèse contient, dans sa première partie, une étude numérique d'une équation non linéaire parabolique d'ordre supérieur ...
يعتمد عملنا على تعريف جديد لشبه الطيف المعمم، تم تقديمه لأول مرة في مخبر الرياضيات التطبيقية والنمذجة (LMAM)، بهدف إيجاد حل جديد لمشكلة التلوث الطيفي. بعد وضع التعريفات والأسس الأولية، كان هدفنا تطوير نظرية أساسية حول تقارب ...
Ce travail de thèse se concentre sur l'effet du dopage substitutionnel avec des métaux de transition 3d dans les monocouches bidimensionnelles TiI₃ et NiCl₃, qui appartiennent à la famille des trihalogénures de métaux de ...
Two-dimensional (2D) materials have garnered significant attention for their exceptional propertiesanddiverseapplications,particularlyinphotovoltaics,photocatalysis,andelectron- ics.Thisthesisinvestigatesthepotentialof2D ...
Avec l’essor des technologies de l’information et de la communication, les environnementsd’apprentissage en ligne sont devenus un élément essentiel de l’éducation à tous les niveaux.Ils offrent de nombreuses possibilités ...
L'oxyde de zinc, ZnO, en tant qu'oxyde conducteur transparent, reçoit actuellement un intérêt croissant pour le développement de nouvelles applications technologiques grâce à ses excellentes propriétés physico-chimiques ...
With the rapid evolution of digital technologies and the growing demand for flexible learning
methods, online learning platforms (e-learning) have become essential tools in modern
education. However, the specific needs ...
Traditional power grids, with one-way communication, lack flexibility and efficient fault
management. On the other hand, Smart Grids integrate advanced technologies, allowing bidirectional
energy management and better ...
The widespread use of Android devices has made them a prime target for malware,
highlighting the critical need for effective detection mechanisms to protect users and
their data. This thesis introduces an innovative mixed ...
This thesis project endeavors to develop an innovative platform tailored for practical sessions within the educational context. The platform aims to provide customized environments for each teaching module through the ...
This study investigates the impact of oversampling techniques, specifically SVMSMOTE and BorderlineSMOTE, on machine learning models for heart disease and
diabetes risk prediction. Using Gradient Boosting Machine (GBM) ...
Educational social networks are online platforms designed to foster learning and
knowledge exchange. They provide a space where students, teachers, and experts
can interact, share educational content, and collaborate on ...
Dynamic systems play a crucial role in various fields, including meteorology, finance, and
technology, and are characterized by their complexity and interdependencies. Traditional
modeling and prediction methods often ...