Sequential rule mining is a technique in the field of data mining that allows one for the
discovery of temporal relationships between events and for making predictions. The
discovery of temporal relationships between ...
Dahili, Ahlem; Benmessahel, Samira(Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science, 2024)
Abstract
Speech analysis is a promising approach for early and automated diagnosis of Parkinson's disease. This non-invasive and inexpensive method relies on the characteristic voice changes of the disease, present ...
LAALAOUI, Moun; LAHRI, Sarah(Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science, 2024)
The emergence of the Internet has transformed global communications,
making information accessible at unprecedented speeds. With the emergence of
social media, people can now connect, share and interact immediately ...
BOUABDALLAH, Maroua; DRIAI, Ibtissem(Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science, 2024)
This work explores graph theory concepts to model and analyze complex networks with
an emphasis on the use of machine learning. Methods examined include similarity measures
based on common neighbors, measures based on ...
Nouioua, Imene; Nouioua Ratiba, Ratiba(Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science, 2024)
hronic diseases, especially those affecting the liver, pose a major challenge to global heal thcare systems. In this dissertation, we have explored various aspects from prediction to simula ting the migration between stages ...
Belkhiri, khawla; Sahli maissa, maissa(Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science, 2024)
Facial recognition systems have become one of the most widely used systems in the fields of
security and surveillance. Despite significant technological advancements, their performance
is still affected by changes in ...
MERDJI, Saida; REBIAI, Soria(Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science, 2024)
TThe accurate diagnosis of contemporary diseases heavily relies on the processing of medical images.
This study introduces an interesting approach for automated detection of brain tumors from magnetic
resonance imaging ...
Miloudi, Fatima; Zohra Hammadi Moncef, Hammadi Moncef(Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science, 2024)
A major problem in data mining is High Utility Pattern Mining (HUPM), which seeks to
find combinations of items that have a significant impact on a specific metric, such as sales,
profits or customer satisfaction. Due ...
Merrouche, Said; Ben Merrouche, Imad el hak(Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science, 2024)
Recognition of human emotions, particularly through facial expressions, has recently
garnered a lot of research attention. Advanced deep learning and machine learning
techniques have been employed to analyze the CK+ ...
Automatic recognition of individuals from ear images is a rapidly growing research field,
competitive with other biometrics such as facial recognition and fingerprints. The ear offers
unique and stable characteristics ...
Digitalization has become an essential process in the modern world, offering several benefits such as improving access to services, reducing operational costs, making faster decisions through real-time data analysis, and ...
The Quran is considered the primary source of Islamic law, but many find it difficult to memorize and recite it accurately. Deep learning models have emerged as an effective means to facilitate this process. In this work, ...
With the explosion of data volume generated daily, Big Data has become a major
concern across various domains. The significance of Big Data lies in its ability to provide
valuable insights and facilitate informed ...
In this study, we addressed the issue of detecting offensive language on social media in Arabic, a language often underrepresented in natural language processing (NLP) research. By leveraging a recently published public ...
Radjai, abir(Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science, 2024)
In recent years, there has been a growing interest in the formulation of many problems in terms of
integral equations, and this has fostered a parallel rapid growth of the literature on their numerical
solution. In this ...
The processing of medical images, especially those obtained by magnetic resonance imaging
(MRI), is important for diagnosing certain diseases such as brain tumors. In this study, we
propose a method to automatically ...
This dissertation focuses on the problem of attacks and intrusions into information systems, with particular emphasis on computer security and intrusion detection systems (IDS). It discusses and analyzes various intelligent ...
In VANETs, each vehicle periodically exchanges sensitive data such as its position and speed with neighboring vehicles. However, this information exchange raises a privacy issue related to the potential tracking of vehicles ...