Mohamed Benouis

Orcid: 0000-0002-9107-9329

Affiliations:
  • University of M'sila, Department of Computer Science, Algeria


According to our database1, Mohamed Benouis authored at least 28 papers between 2015 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
BFCL: a secure decentralized framework for chest x-ray image classification using blockchain federated contrastive learning.
Clust. Comput., August, 2026

Decentralized Anomaly Detection in Electric Vehicle Supply Equipment via Federated Learning and Blockchain Integration.
Computing, March, 2026

Mathematical modeling and optimization of vision transformers for disease classification in agronomic imaging.
Evol. Syst., February, 2026

Cross-Dataset Generalizability Analysis of Multimodal Self-Supervised Learning for Stress Recognition Across Lab and Daily Contexts.
IEEE Access, 2026

2025
Enhanced local patterns using deep learning techniques for ECG based identity recognition system.
Multim. Tools Appl., November, 2025

GANonymization: A GAN-Based Face Anonymization Framework for Preserving Emotional Expressions.
ACM Trans. Multim. Comput. Commun. Appl., January, 2025

Application of Multimodal Self-Supervised Architectures for Daily Life Affect Recognition.
IEEE Trans. Affect. Comput., 2025

Optimizing Security and Performance in Blockchain-Enhanced Federated Learning Through Participant Selection with Role Determination.
Comput. Informatics, 2025

Self-Supervised Transformer With Masked Latent Representations for Multimodal Biometric Authentication.
Proceedings of the 13th International Workshop on Biometrics and Forensics, 2025

2024
Anonymization of Faces.
Datenschutz und Datensicherheit (dud), June, 2024

Impact of the data augmentation on the detection of brain tumor from MRI images based on CNN and pretrained models.
Multim. Tools Appl., April, 2024

Federated Learning and Convolutional Neural Networks for Intrusion Detection Systems.
Proceedings of the 6th International Conference on Pattern Analysis and Intelligent Systems, 2024

Robust Wearable-Based Real Life Cognitive Fatigue Monitoring by Personalized PPG Normalization.
Proceedings of the Sensor-Based Activity Recognition and Artificial Intelligence, 2024

Enhancing Client Privacy in Physiology-Based Biometric Verification with Differential Privacy and Positive-Label Federated Learning.
Proceedings of the 12th International Workshop on Biometrics and Forensics, 2024

2023
A Privacy-Preserving Multi-Task Learning Framework For Emotion and Identity Recognition from Multimodal Physiological Signals.
Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023, 2023

2022
Comparative study of 1D-local descriptors for ear biometric system.
Multim. Tools Appl., 2022

Artificial Orca Algorithm for Solving University Course Timetabling Issue.
Proceedings of the Artificial Intelligence: Theories and Applications, 2022

2021
Face Recognition Based on Fractal Code and Deep Belief Networks.
J. Inf. Technol. Res., 2021

Food Tray Sealing Fault Detection in Multi-Spectral Images Using Data Fusion and Deep Learning Techniques.
J. Imaging, 2021

Stacked autoencoder for Arabic handwriting word recognition.
Int. J. Comput. Sci. Eng., 2021

ECG based biometric identification using one-dimensional local difference pattern.
Biomed. Signal Process. Control., 2021

2D ECG Image Based Biometric Identification Using Stacked Autoencoders.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2021

2019
Multimodal biometric system for ECG, ear and iris recognition based on local descriptors.
Multim. Tools Appl., 2019

Behavioural Smoking Identification via Hand-Movement Dynamics.
Proceedings of the 2019 IEEE SmartWorld, 2019

2018
Shifted 1D-LBP Based ECG Recognition System.
Proceedings of the Modelling and Implementation of Complex Systems, 2018

2016
Gait recognition based on model-based methods and deep belief networks.
Int. J. Biom., 2016

2015
A Novel Technique for Human Face Recognition Using Fractal Code and Bi-dimensional Subspace.
Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015

A Novel Technique For Human Face Recognition Using Fractal Code and Bi-dimensional Subspace.
Proceedings of the Computer Science and Its Applications, 2015


  Loading...