Browsing by Author "Supervisor: Gadri, Said"

Now showing 1 - 3 of 3
  • Thumbnail Image
    ItemOpen Access
    Fake News Detection Using Machine Learning and Deep Learning Techniques
    (University of M'sila, 2023-06-10) Babi, Chaima; Supervisor: Gadri, Said
    Detecting fake news has become a critical challenge in the digital era, where information spreads rapidly through various online platforms. This work focuses on the development and application of machine learning and deep learning techniques and develops a recurrent neural network (RNN)-based fake news detection model. The goal of this model is to accurately identify and classify fake news. Through our experimental work, we have demonstrated the high effectiveness and accuracy of this model in distinguishing fake news from genuine information.
  • Thumbnail Image
    ItemOpen Access
    The Green Era:Towards a smart ecosystem
    (University of M'sila, 2023-06-10) Chergui, AbdeNnour; Boutchicha, Houssam Eddine; Supervisor: Gadri, Said
    This graduation project aims to address plant disease issues and promote crop yields in the context of the global agricultural revolution. It is suggested to use deep learning and machine learning techniques to address these challenges. Initially, we used a DL model to automate the detection of plant diseases. The next phase of the project focuses on improving crop yields by leveraging ML algorithms, this project emphasizes the role of integrating advanced technologies such as DL and ML in solving agricultural obstacles.
  • Thumbnail Image
    ItemOpen Access
    Road Lane Line Detection Based on ML and DL Techniques
    (University of M'sila, 2023-06-10) Chenene, Soumia; Supervisor: Gadri, Said
    Lane detection is an important technology in driving assistance systems and smart cars, intended to identify and track lane lines on highways and public streets. Line detection is crucial to maintaining traffic safety and achieving safe and efficient driving. Many algorithms have developed in the field of machine learning over the past years, especially in the field of deep learning, which is an important branch of machine learning. As programming tools, we used Python, Open CV, which is the most widely used in this field. I created an application that warns the driver if the line is crossed on the road, intentionally or unintentionally.