Radhia Ferjaoui

According to our database, Radhia Ferjaoui authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A Novel Handcrafted Features and Deep BiLSTM Neural Network for Lymphoma Recognition.

Radhia Ferjaoui, Sana Boujnah, Anouar Ben Khalifa

Proceedings of the 10th International Conference on Control, 2024

A Deep GRU-BiLSTM Network for Multi-modal Emotion Recognition from Text.

Ibtissem Yacoubi, Radhia Ferjaoui, Anouar Ben Khalifa

Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

A Deep CNN-BiGRU model for Lymphoma and Residual Masses Recognition.

Radhia Ferjaoui, Sana Boujnah, Anouar Ben Khalifa

Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

A Novel Deep Neural Network Model using Resnet50-BiLSTM for Biometric Ear Recognition in Degraded Conditions.

Sana Boujnah, Radhia Ferjaoui, Anouar Ben Khalifa

Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

2023

A Novel Public Database of Lymphoma for Whole Body Diffusion-Weighted MRI.

Radhia Ferjaoui, Sana Boujnah, Nour El Houda Kraiem, Tarek Kraiem, Anouar Ben Khalifa

Proceedings of the International Conference on Cyberworlds, 2023

Person Identification with Voice and Ear-print in Degraded Conditions for Smart Home Access.

Sana Boujnah, Radhia Ferjaoui, Anouar Ben Khalifa

Proceedings of the International Conference on Cyberworlds, 2023

Hybrid approach for speaker recognition based on formant and pitch extraction.

Sana Boujnah, Radhia Ferjaoui, Anouar Ben Khalifa

Proceedings of the International Conference on Cyberworlds, 2023

2022

Deep Residual Learning based on ResNet50 for COVID-19 Recognition in Lung CT Images.

Radhia Ferjaoui, Mohamed Ali Cherni, Fathia Abidi, Asma Zidi

Proceedings of the 8th International Conference on Control, 2022

2021

Machine learning for evolutive lymphoma and residual masses recognition in whole body diffusion weighted magnetic resonance images.

Radhia Ferjaoui, Mohamed Ali Cherni, Sana Boujnah, Nour El Houda Kraiem, Tarek Kraiem

Comput. Methods Programs Biomed., 2021

2018

Lymphoma Lesions Detection from Whole Body Diffusion-Weighted Magnetic Resonance Images.

Radhia Ferjaoui, Mohamed Ali Cherni, Nour El Houda Kraiem, Tarek Kraiem

Proceedings of the 5th International Conference on Control, 2018