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 ...
This Master’s thesis presents a comparative study of four popular free data
mining tools: RapidMiner, Weka, KANIME, and Orange. The study evaluates their
features, user-friendliness, performance, and community support. ...
OUSSEINI, BEIDOU HABIBOU(University of Guelma, 2024)
Assessing the uncertainty associated with asset price fluctuations is crucial in finance, with
volatility being a key measure. The ability to predict this volatility is vital for making
effective investment decisions, ...
Detecting outlier documents is a critical task in various domains, including fraud
detection, information retrieval, and anomaly detection. This project leverages
Word2Vec Framework and the Word Mover’s Distance (WMD) ...
Spam emails are an ever-increasing issue in the digital communication world, posing
significant threats globally, ranging from privacy breaches to financial losses and the
spread of malicious software. The sheer volume ...
Wheat is the most important basic component of food security in addition to its impact on the
agricultural and economic income of countries, although every year we notice significant losses
in it, and one of the most ...
The proliferation of malware has necessitated advanced techniques for detection and
prevention. This research investigates the impact of refactoring PHP code on the
effectiveness of machine learning algorithms in detecting ...
Brain tumors are a complex and dangerous form of cancer, where early
diagnosis is crucial to improving patients’ chances of survival. Traditionally,
doctors have relied on clinical examinations and medical imaging ...
Navigating outdoor environments poses substantial challenges for blind and visually impaired people, limiting
their ability to move independently and safely. This thesis presents a novel AI-based system designed to ...
The objective of this work is to design and develop a shape descriptor for
describing and matching of 2D shapes, more robust and e cient than other
existing descriptors. The proposed approach introduces a new topological ...
LARAISSIA, LINA YASSAMINE(University of Guelma, 2024)
This master’s thesis focuses on the Sentiment Analysis for Arabic languages using
Advanced Deep Learning Techniques. The aim of this study is to develop an intelligent
system that can automatically predict the sentiment ...
In this thesis we present the different approaches to face detection and feature extraction, as well as approaches to facial recognition.
The study introduces a real-time facial recognition system designed for enhancing ...