Seifeddine Messaoud

Orcid: 0000-0001-5205-4914

According to our database1, Seifeddine Messaoud authored at least 27 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
FFGSM: A Novel Fuzzy Logic-Based FGSM Attack for Deep Neural Networks Vulnerability Assessment.
IEEE Trans. Fuzzy Syst., June, 2026

Performance Evaluation of Advanced YOLOv10 and YOLOv11 Architectures for Object Detection in Autonomous Driving Scenarios.
IEEE Trans. Computers, May, 2026

Low-latency QYOLOv10-based FPGA implementation for real-time object detection.
Integr., 2026

2025
Post-training quantization for efficient FPGA-based neural network acceleration.
Integr., 2025

Efficient Post-Training Quantization for FPGA-Based Neural Networks.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2025

Fine-Tuned Yolo V-10X: Real-Time Object Detection for Autonomous Vehicles Under Multiple Weather Conditions.
Proceedings of the 22nd IEEE International Multi-Conference on Systems, Signals & Devices, 2025

Robust Optimization-based Neural Architectures Against Adversarial Attacks.
Proceedings of the 22nd IEEE International Multi-Conference on Systems, Signals & Devices, 2025

2024
Implementation of an improved multi-object detection, tracking, and counting for autonomous driving.
Multim. Tools Appl., May, 2024

Fpga-based SoC design for real-time facial point detection using deep convolutional neural networks with dynamic partial reconfiguration.
Signal Image Video Process., 2024

2023
DTL-I-ResNet18: facial emotion recognition based on deep transfer learning and improved ResNet18.
Signal Image Video Process., 2023

Secure Convolutional Neural Network-Based Internet-of-Healthcare Applications.
IEEE Access, 2023

Enhanced CNN Security based on Adversarial FGSM Attack Learning: Medical Image Classification.
Proceedings of the 20th International Multi-Conference on Systems, Signals & Devices, 2023

2022
Deep CNN Co-design for HEVC CU Partition Prediction on FPGA-SoC.
Neural Process. Lett., 2022

Deep learning-based video quality enhancement for the new versatile video coding.
Neural Comput. Appl., 2022

Deep convolutional neural networks-based Hardware-Software on-chip system for computer vision application.
Comput. Electr. Eng., 2022

2021
Machine Learning for Automatic Machine-to-Machine (M2M) Communication in 5G. (Apprentissage Automatique pour la Communication Machine à Machine (M2M) Autonome dans la 5G).
PhD thesis, 2021

Deep Federated Q-Learning-Based Network Slicing for Industrial IoT.
IEEE Trans. Ind. Informatics, 2021

Real-Time Implementation of AI-Based Face Mask Detection and Social Distancing Measuring System for COVID-19 Prevention.
Sci. Program., 2021

Complexity Analysis of New Future Video Coding (FVC) Standard Technology.
Int. J. Digit. Multim. Broadcast., 2021

VVC In-Loop Filtering Based on Deep Convolutional Neural Network.
Comput. Intell. Neurosci., 2021

COVID-19 Recognition Based on Patient's Coughing and Breathing Patterns Analysis: Deep Learning Approach.
Proceedings of the 29th Conference of Open Innovations Association, 2021

In-Depth Performance Evaluation of Network Slicing Strategies in Large Scale Industry 4.0.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

PYNQ FPGA Hardware implementation of LeNet-5-Based Traffic Sign Recognition Application.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

Deep Pre-trained Models for Computer Vision Applications: Traffic sign recognition.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

2020
Online GMM Clustering and Mini-Batch Gradient Descent Based Optimization for Industrial IoT 4.0.
IEEE Trans. Ind. Informatics, 2020

A survey on machine learning in Internet of Things: Algorithms, strategies, and applications.
Internet Things, 2020

Distributed Q-learning based-Decentralized Resource Allocation for Future Wireless Networks.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020


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