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Seifeddine Messaoud
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2020 – today
- 2024
- [j13]Adnen Albouchi, Seifeddine Messaoud, Soulef Bouaafia, Mohamed Ali Hajjaji, Abdellatif Mtibaa:
Implementation of an improved multi-object detection, tracking, and counting for autonomous driving. Multim. Tools Appl. 83(18): 53467-53495 (2024) - [j12]Safa Teboulbi, Seifeddine Messaoud, Mohamed Ali Hajjaji, Abdellatif Mtibaa, Mohamed Atri:
Fpga-based SoC design for real-time facial point detection using deep convolutional neural networks with dynamic partial reconfiguration. Signal Image Video Process. 18(S1): S599-S615 (2024) - 2023
- [j11]Lazhar Khriji, Soulef Bouaafia, Seifeddine Messaoud, Ahmed Chiheb Ammari, Mohsen Machhout:
Secure Convolutional Neural Network-Based Internet-of-Healthcare Applications. IEEE Access 11: 36787-36804 (2023) - [j10]Rabie Helaly, Seifeddine Messaoud, Soulef Bouaafia, Mohamed Ali Hajjaji, Abdellatif Mtibaa:
DTL-I-ResNet18: facial emotion recognition based on deep transfer learning and improved ResNet18. Signal Image Video Process. 17(6): 2731-2744 (2023) - [c6]Lazhar Khriji, Seifeddine Messaoud, Soulef Bouaafia, Ahmed Chiheb Ammari, Mohsen Machhout:
Enhanced CNN Security based on Adversarial FGSM Attack Learning: Medical Image Classification. SSD 2023: 360-365 - 2022
- [j9]Seifeddine Messaoud, Soulef Bouaafia, Amna Maraoui, Ahmed Chiheb Ammari, Lazhar Khriji, Mohsen Machhout:
Deep convolutional neural networks-based Hardware-Software on-chip system for computer vision application. Comput. Electr. Eng. 98: 107671 (2022) - [j8]Soulef Bouaafia, Randa Khemiri, Seifeddine Messaoud, Olfa Ben Ahmed, Fatma Ezahra Sayadi:
Deep learning-based video quality enhancement for the new versatile video coding. Neural Comput. Appl. 34(17): 14135-14149 (2022) - [j7]Soulef Bouaafia, Randa Khemiri, Seifeddine Messaoud, Fatma Ezahra Sayadi:
Deep CNN Co-design for HEVC CU Partition Prediction on FPGA-SoC. Neural Process. Lett. 54(4): 3283-3301 (2022) - 2021
- [b1]Seifeddine Messaoud:
Machine Learning for Automatic Machine-to-Machine (M2M) Communication in 5G. (Apprentissage Automatique pour la Communication Machine à Machine (M2M) Autonome dans la 5G). University of Monastir, Tunisia, 2021 - [j6]Soulef Bouaafia, Seifeddine Messaoud, Randa Khemiri, Fatma Ezahra Sayadi:
VVC In-Loop Filtering Based on Deep Convolutional Neural Network. Comput. Intell. Neurosci. 2021: 9912839:1-9912839:9 (2021) - [j5]Soulef Bouaafia, Randa Khemiri, Seifeddine Messaoud, Fatma Ezahra Sayadi:
Complexity Analysis of New Future Video Coding (FVC) Standard Technology. Int. J. Digit. Multim. Broadcast. 2021: 6627673:1-6627673:13 (2021) - [j4]Safa Teboulbi, Seifeddine Messaoud, Mohamed Ali Hajjaji, Abdellatif Mtibaa:
Real-Time Implementation of AI-Based Face Mask Detection and Social Distancing Measuring System for COVID-19 Prevention. Sci. Program. 2021: 8340779:1-8340779:21 (2021) - [j3]Seifeddine Messaoud, Abbas Bradai, Olfa Ben Ahmed, Pham Tran Anh Quang, Mohamed Atri, M. Shamim Hossain:
Deep Federated Q-Learning-Based Network Slicing for Industrial IoT. IEEE Trans. Ind. Informatics 17(8): 5572-5582 (2021) - [c5]Soulef Bouaafia, Seifeddine Messaoud, Amna Maraoui, Ahmed Chiheb Ammari, Lazhar Khriji, Mohsen Machhout:
Deep Pre-trained Models for Computer Vision Applications: Traffic sign recognition. SSD 2021: 23-28 - [c4]Seifeddine Messaoud, Samir Dawaliby, Abbas Bradai, Mohamed Atri:
In-Depth Performance Evaluation of Network Slicing Strategies in Large Scale Industry 4.0. SSD 2021: 474-479 - [c3]Amna Maraoui, Seifeddine Messaoud, Soulef Bouaafia, Ahmed Chiheb Ammari, Lazhar Khriji, Mohsen Machhout:
PYNQ FPGA Hardware implementation of LeNet-5-Based Traffic Sign Recognition Application. SSD 2021: 1004-1009 - [c2]Lazhar Khriji, Ahmed Chiheb Ammari, Seifeddine Messaoud, Soulef Bouaafia, Amna Maraoui, Mohsen Machhout:
COVID-19 Recognition Based on Patient's Coughing and Breathing Patterns Analysis: Deep Learning Approach. FRUCT 2021: 185-191 - 2020
- [j2]Seifeddine Messaoud, Abbas Bradai, Syed Hashim Raza Bukhari, Pham Tran Anh Quang, Olfa Ben Ahmed, Mohamed Atri:
A survey on machine learning in Internet of Things: Algorithms, strategies, and applications. Internet Things 12: 100314 (2020) - [j1]Seifeddine Messaoud, Abbas Bradai, Emmanuel Moulay:
Online GMM Clustering and Mini-Batch Gradient Descent Based Optimization for Industrial IoT 4.0. IEEE Trans. Ind. Informatics 16(2): 1427-1435 (2020) - [c1]Seifeddine Messaoud, Abbas Bradai, Mohamed Atri:
Distributed Q-learning based-Decentralized Resource Allocation for Future Wireless Networks. SSD 2020: 892-896
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last updated on 2024-10-07 21:25 CEST by the dblp team
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