Faculté des mathématiques et de l'informatique
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Item Traduction des documents arabes par les transformes(university of bordj bou arreridj, 2025) metaai ilhem Yahiaoui hadjer; Yahiaoui hadjerIn recent years, the field of machine translation has seen a remarkable development thanks to the rapid advancement of artificial intelligence (AI) technologies, especially with the emergence of deep learning-based Transformers models. These models have contribu ted to improving translation quality, especially when it comes to languages that are not standardized or lack sufficient linguistic resources, such as Algerian Darija. This study aims to build and evaluate a deep learning-based machine translation mo del for translating texts from Algerian Darija to English. To achieve this goal, a dataset containing sentences written in Algerian Darija and their corresponding English trans lations was collected and processed, and a model based on the Transformer architecture was trained using this data.Item Optimisation de Routage dans les Réseaux VANETparApprentissage Supervisé(university of bordj bou arreridj, 2025) MEHSAS Hanya Melak; MEKKI DouaaThis thesis focuses on optimizing routing in Vehicular Ad Hoc Networks (VA NET), a key component of Intelligent Transportation Systems (ITS). These dynamic networks enable vehicles to exchange real-time data (V2V and V2I), thereby enhan cing road safety and improving traffic management. However, their dynamic nature, unstable topology, and high node mobility complicate data routing, adversely affecting the quality of service (QoS). To address these challenges, we propose the integration of Artificial Intelligence (AI), specifically supervised machine learning, into the HRLB SVDN protocol. The chosen model, CatBoostClassifier, can effectively analyze hetero geneous data with high precision. Trained on realistic simulated datasets, it predicts optimal communication paths based on parameters such as vehicle density, inter-node distance, and link stability. The experimental results are highly promising : an accu racy of 98.75%, a ROC-AUC score of 99.79%, an average precision of 99.71%, and a logarithmic loss of just 0.038. These metrics demonstrate a strong ability to identify reliable routing paths in dynamic network environments. Simulations also revealed a significant improvement in protocol performance, with a 10.75% increase in average delivery rate, a 7.86% increase in throughput, and a 10.08% reduction in average la tency. In conclusion, this work highlights the effectiveness of AI-based approaches in designing intelligent, robust, and adaptive routing protocols tailored to the demanding requirements of modern VANET environments.Item Cognitive Psychology in Service of the Machine: Towards the Study of the Human Cognition(university of bordj bou arreridj, 2025) AGTI NadiaThe cognitive space plays an important role in structuring an action and the possible actions to be executed; therefore, actions are not only governed by a dynamic perception of knowledge but also by previously acquired knowledge. The neurophysiologist Alain Berthoz sees the brain as “a simulator of action and an emulator of reality.” He believes that it is through action—and not language—that we construct our perception of the world. The goal here is to integrate knowledge about actions/events from memory or past experiences and combine it with infor mation perceived from the environment. The complexity of the problem increases when we take into account the unpredictable nature of human behavior. Today, technological breakthroughs are attempting to enable direct communication between machines and the human brain, with the aim of performing actions through thought. The question now is whether it is possible to understand the physical or mental state that led a person to: 1) undertake actions they should have avoided, or conversely, 2) be encouraged to carry out actions they had previously abandoned. We are interested in these theories in order to reproduce a person’s psychological state, with the aim of understanding and explaining the reasons behind the two points above. This is done by relying on semantic interdependencies and the properties of actions carried out in the past or present.