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Abid, Wissam (2025)

Smart agriculture aims to improve crop monitoring through automated and accurate analysis of plant health. A critical task in this domain is disease severity estimation, which focuses on identifying the progression stages ...

Development of an autonomous 6DOF robotic arm using machine learning

Belkhiri, Djamel Ibrahim; Benarab, Adel (2025)

This thesis presents the development of a 6-DOF autonomous collaborative robotic arm, covering mechanical design, kinematic & dynamic analysis, 3D printing, and full electrical system integration. The robot is controlled ...

Sound source localization and tracking : real life application using UMA-16

Bouznad, Tarek (2025)

This thesis addresses two major challenges in acoustic signal processing: motion parameter estimation using the Doppler effect, and sound source localization with microphone arrays. The first part explores how the ...

Multimodal neurophysiological signals analysis for stress assessment

Boulefaat, Israa; Cherfouhi, Mohamed Abdelhadi (2025)

This project investigates the use of neurophysiological signals, specifically EEG, ECG, and PPG, for stress assessment in 23 participants performing various tasks, with corresponding stress levels recorded for each activity. ...

Conception et réalisation d'un bras manipulateur à 6 degrés de libertés

Chikhi, Arezki; Babouri, Ayoub (2025)

La robotique occupe une place centrale dans l’automatisation moderne, notamment à travers l’utilisation des bras manipulateurs. Ces systèmes permettent d’accomplir des tâches complexes avec précision, répétabilité et ...

BMI estimation from face images

Benrekia, Yaseen; Djemmah, Imad Eddine (2025)

This project presents a comprehensive study on BMI estimation from face images, with a particular emphasis on improving predictive performance. By leveraging state-of-the-art deep learning architectures, advanced image ...

PPG signals-based arterial stiffness estimation using visibility graphs image representation

Djeraoui, Houda; Malek, Mohamed Sidali (2025)

This work presents a non-invasive method for estimating Pulse Wave Velocity (PWV) from PPG signals using visibility graph transformation and machine learning. Complex features are extracted and selected through a multi-criteria ...

Developing resilient communication architectures for the internet of underground things (IoUgT)

Medjber, Serine; Labbas, Mohamed Amine (2025)

Reliable underground communication remains a major challenge due to high signal attenuation and variable soil conditions. This work presents a power-efficient and scalable underground monitoring system based on Magnetic ...

Model based Deep Learning for computational imaging : application to robust multimodal 3D imaging

Mekerri, Ouarda; Kaci, Ilhem Meroua (2025)

3D imaging is critical in applications requiring precise spatial detail. Among available technologies, LiDAR sensors are particularly prized for their accuracy and reliability. However, in realistic conditions, their ...

Automated 3D liver segmentation and mixed reality integration for preoperative surgical planning

Touil, Mohamed Reda; Benzine, Yasser (2025)

Traditional liver surgical planning, relying on manual interpretation of 2D images, is often limited in precision and efficiency. This report introduces an integrated system designed to revolutionize this practice by ...

Study of iris recognition using human visual system based methods

Bennefissa, Mahmoud (2024)

Iris recognition using methods inspired by the human visual system represents a cutting-edge approach in biometric identification. By analyzing key stages such as detection, normalization, feature extraction, and classification, ...

Traitement par photocatalyse TiO2/solaire d'une eau contaminée par un polluant pharmaceutique (Doxycycline)

Aissani, Nourhane; Cheradi, Yasmine (2024)

Le présent travail a pour but d’éliminer un polluant pharmaceutique (doxycycline), présent dans le milieu aquatique, par photocatalyse solaire en présence du dioxyde de titane. Les essais ont été réalisés en mode batch et ...

Camera-based automated detection system for speed bumps and road defects

Ould zmirli, Amina (2024)

The quality of road infrastructure is important for ensuring safe travel, yet hazards like potholes and speed bumps pose threats to vehicles and drivers. The Camera-Based Automated Detection System represents a cutting-edge ...

Machine learning techniques for turbo decoding in wireless communication systems

Benkirat, Mehdi; Layes, Mehdi Chames Eddinne (2024)

This study investigates machine-learning techniques aimed at enhancing turbo decoding in wireless communication. Traditional turbo decoders often struggle with challenges such as susceptibility to burst noise and high error ...

Évaluation des techniques de génération de deepfake

Djaber, Achref; Abdellah, Taibaoui (2024)

Les techniques de génération de deepfakes sont largement utilisées dans divers domaines. Cependant, en raison de leur complexité et des défis éthiques et sociaux qu’elles posent, l’évaluation des techniques de génération ...

Intégrale floue avec optimisation par essaim de particules pour la classification des maladies des feuilles de plantes

Messaoudi, Melissa (2024)

L’agriculture est cruciale pour la survie de l’humanité, mais elle fait face à des défis majeurs liés aux maladies des plantes, qui peuvent entraîner des pertes de récoltes significatives. La détection précoce et la ...

Optimisation et planification de trajectoire pour les systèmes multi-agents

Rahal, Mohamed Nadjib (2024)

Faciliter la manœuvre autonome des robots mobiles est crucial pour diverses applications. Cette tâche devient plus complexe dans les contextes nécessitant une structure multi-agents pour accomplir des tâches trop complexes ...

Learning based artifact removal for EEG and PPG signals : contribution to artifact removal for EEG signals using Learning based methods

Guir, Abdelbaki (2024)

his study explores the use of deep learning methods, particularly Deep Convolutional Neural Networks (Deep CNN) and Cycle Generative Adversarial Networks (Cycle GAN), to purify neurophysiological signals such as EEG and ...

Development of an iot system for real-time environmental data acquisition and control in agriculture

Bouhounali, Abdennour; Foutia, Abderrahmane (2024)

The IoT system addresses the need for efficient monitoring and control of meteorological parameters, specifically for agricultural applications. The challenge lies in acquiring real-time data for temperature, humidity, and ...

Etude et implémentation sur FPGA d’algorithmes de segmentation d’images médicales en utilisant les contours actifs et les courbes de niveau

Bouzid, Bouchra; Ait Belkacem, Sabrina (2024)

Ce projet explore l’utilisation des contours actifs et des courbes de niveaux dans la segmentation d’images médicales, soulignant leur importance cruciale pour le diagnostic et le suivi médical. Une analyse approfondie des ...

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