Browsing by Author "Hamadouche, Mohamed"

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    Comparative Study on Early Stage Diabete Detection by Using Machine Learning Methods
    (Institute of Electrical and Electronics Engineers, 2023) Cherifi, Dalila; Djellouli, Seyyid Ahmed; Riabi, Hanane; Hamadouche, Mohamed
    This paper introduces an innovative approach to diabetes prediction, leveraging machine learning algorithms. The study is dedicated to elevating the precision of medical examinations through the application of machine learning to electronic health records (EHRs). In our investigation of the Pima Indian dataset, we employed two distinct strategies-imputation data and, notably, the novel filtered data approach-to address missing values. Subsequently, we rigorously evaluated six supervised machine learning models, encompassing Logistic Regression, Random Forest, K-Nearest Neighbor, Support Vector Machine, XGBoost, and Cat Boost. Metrics including accuracy, precision, sensitivity, specificity, and stability were meticulously assessed. Encouragingly, we achieved a commendable 98% accuracy with the Random Forest classifier using the imputation data strategy. However, our groundbreaking contribution lies in the filtered data approach, where we achieved an equally promising 84% accuracy using the XGBoost classifier. This pivotal finding unequivocally establishes the superiority of the filtered data methodology, signifying a significant leap towards enhancing patient risk scoring systems and foreseeing the onset of disease.
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    Design and implementation of coupled tank control using PID controller
    (Université M'hamed Bougara Boumerdès: Institue de génie electronic et electric, 2024) Hamadouche, Mohamed; Kaced, R. (supervisor)
    Liquid level control is crucial in the industrial field, where the liquid level is required to be maintained to prevent overflows. The coupled tanks system is common in industrial control processes. The system consists of two tanks, with the liquid flowing through them. Each tank contains an inlet and an outlet. The main principle of controlling this system is to maintain a constant level of liquid in each tank when there are inflows and outflows of liquid. To control the liquid level in the coupled tanks system, the mathematical model of the system has been derived and evaluated in the form of a linear model. The mathematical model of the system was developed to apply for the PID control system, considering the dynamic behavior of the system. Once the system had been designed, the corresponding model was implemented using the MATLAB and Simulink software. According to simulation and experimental results, the PID control worked well to stabilize the system at specific set point values.