Jihen Frikha Elleuch

Orcid: 0000-0002-0201-4831

According to our database1, Jihen Frikha Elleuch authored at least 12 papers between 2012 and 2024.

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

Timeline

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Links

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Bibliography

2024
New Possibilistic Formalism Based on Confidence Levels for Metallic Surface Defect Classification.
IEEE Access, 2024

Congest-Net: A new CNN model for Audio based Traffic Congestion.
Proceedings of the 12th IEEE International Symposium on Signal, 2024

Defect-Net: a new CNN model for steel surface defect classification.
Proceedings of the 12th IEEE International Symposium on Signal, 2024

Melanoma Detection Using CBR Approach Within a Possibilistic Framework.
Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024

A new Dubois et Prade Transform based surface defect categorization.
Proceedings of the 10th International Conference on Control, 2024

2023
Breast cancer anomaly detection based on the possibility theory with a clustering paradigm.
Biomed. Signal Process. Control., 2023

2022
Human Dendritic Cells Classification based on Possibility Theory.
Proceedings of the 5th IEEE International Conference on Image Processing Applications and Systems, 2022

Microcalcification detection using k-means based clustering within a possibility theory framework.
Proceedings of the 8th International Conference on Control, 2022

2015
Traversable area segmentation approach at indoor environment for visually impaired people.
Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia, 2015

An Improved Iris Recognition System Based on Possibilistic Modeling.
Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia, 2015

2014
A new ground segmentation method for obstacle detection using possibility theory.
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014

2012
New electronic cane for visually impaired people for obstacle detection and recognition.
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2012


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