Seifeddine Messaoud

Orcid: 0000-0001-5205-4914

According to our database1, Seifeddine Messaoud authored at least 18 papers between 2020 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

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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