Accueil › Annuaire des chercheurs › Hassene Faiedh
Hassene Faiedh
Affiliation : University of Monastir · University of Sousse
- 41Publications (affiliation tunisienne)
- 42Publications au total
- 447Citations
- 12Indice h
Profil de recherche
Hassene Faiedh compte 41 publications référencées (2001–2026). Ses travaux paraissent principalement dans « International Multi-Conference on Systems, Signals & Devices (SSD) », « International Journal of Transportation Science and Technology » et « Electronics ». Son article le plus cité, « An Efficient FPGA-Based Convolutional Neural Network for Classification: Ad-MobileNet » (2021), a été cité 54 fois. 13 de ces publications datent des trois dernières années d’activité. Ses travaux sont cosignés avec au moins 12 chercheurs, notamment dans des établissements de Belgique, Arabie saoudite.
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Créer mon profil gratuit Ajouter mes publicationsDomaines de recherche
- Advanced Neural Network Applications
- Autonomous Vehicle Technology and Safety
- Computer Science and Engineering
- Embedded Systems and FPGA Applications
- Video Surveillance and Tracking Methods
Publications (41)
- Leveraging Posit Arithmetic for Deep Learning on FPGAs: Comparative Insights with IEEE Floating and Fixed-Points Formats
- Real-time pedestrian detection for automotive systems using an optimized YOLOv9 framework
- Pedestrian detection and tracking using an enhanced YOLOv9 model for automotive vehicles
- Optimized deep learning for pedestrian safety in autonomous vehicles
- YOLO-TSR: A Novel YOLOv8-Based Network for Robust Traffic Sign Recognition
- A novel architecture for efficient pedestrian detection in autonomous vehicles
- Intelligent collision avoidance system for urban scenarios using deep learning
- A robust deep learning-based system for pedestrian-aware collision prevention in autonomous vehicles
- Low-Power Quantized Convolutional Neural Network for Early Breast Cancer Detection in Remote Communities
- Differentiable Selection of Bit-Width and Numeric Format for FPGA-Efficient Deep Networks
- Comparative Performance Analysis of YOLOv8 and YOLOv9 for Vehicle Detection and Distance Estimation
- Comparative Study of Adaptive Low-Precision Floating-Point and Fixed-Point Quantization for CNNs on FPGA-Oriented Architectures
- An Intelligent Collision Avoidance System Utilizing YOLOv8-Based Deep Learning
- An efficient implementation of traffic signs recognition system using CNN
- A novel cooperative collision avoidance system for vehicular communication based on deep learning
- Signal processing of range detection for FMCW ground-penetrating radar using software-defined radio
- An Efficient FPGA-Based Convolutional Neural Network for Classification: Ad-MobileNet
- Hardware Implementation of Tanh Exponential Activation Function using FPGA
- Slim MobileNet: An Enhanced Deep Convolutional Neural Network
- Cooperative Forward Collision Avoidance System Based on Deep Learning
- Improved architecture for traffic sign recognition using a self-regularized activation function: SigmaH
- Hardware Implementation of Fixed-Point Convolutional Neural Network For Classification
- Embedded Real-Time System for Traffic Sign Recognition on ARM Processor
- Robust pedestrian detection for driver assistance systems using machine learning
- Robust pedestrian detection for driver assistance systems using machine learning
- Design of efficient embedded system for road sign recognition
- Architectural exploration of multilayer perceptron models for on-chip and real-time road sign classification
- Real-time embedded system for traffic sign recognition based on ZedBoard
- Road signs classification by ANN for real-time implementation
- Real-time recognition of road traffic signs in video scenes
- Real-time hardware/software co-design of a traffic sign recognition system using Zynq FPGA
- A lighting independent vision based system for driver assistance
- Novel Technique for 3D Face Segmentation and Landmarking
- Embedded system for road sign detection using MicroBlaze
- Effect of color spaces on video segmentation performances
- Novel approach for real time detection and classification based on template matching in video
- Novel approach for real time detection and classification based on template matching in video
- Efficient algorithm for automatic road sign recognition and its hardware implementation
- Digital hardware implementation of a neural system used for nonlinear adaptive prediction
- Digital hardware implementation of a neural network used for classification
- Digital hardware implementation of sigmoid function and its derivative for artificial neural networks
Revues de publication
- International Multi-Conference on Systems, Signals & Devices (SSD) × 4
- International Journal of Transportation Science and Technology × 2
- Electronics × 2
- International Journal of Vehicle Design × 2
- Journal of Real-Time Image Processing × 2
- International Design and Test Workshop (IDT) × 2
Publications par année
- 20262
- 202510
- 20241
- 20232
- 20221
- 20216
- 20203
- 20182
- 20172
- 20164
Collaborations
Établissements partenaires : Centre de Recherche en Microelectronique et Nanotechnologie · University of Mons · Digital Research Centre of Sfax · University of Sfax · King Khalid University
Pays des co-auteurs : Belgique · Arabie saoudite
Co-auteurs
- Chokri Souani
- Wajdi Farhat
- Kamel Besbes
- Safa Bouguezzi
- Sabrine Hamdi
- Hana Ben Fredj
- Olfa Ben Rhaiem
- Souha BenOthmen
- Souhir Sghaier
- Zied Gafsi
- Kawthar Dellel
- Jamel Baili
Données bibliographiques issues d’OpenAlex (base ouverte).
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