Sihem Slatnia

According to our database, Sihem Slatnia authored at least 12 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Blockchain-based multi-diagnosis deep learning application for various diseases classification.

Hakima Rym Rahal, Sihem Slatnia, Okba Kazar, Ezedin Barka, Saad Harous

Int. J. Inf. Sec., February, 2024

A Review on Deep Learning Techniques for EEG-Based Driver Drowsiness detection systems.

Imene Latreche, Sihem Slatnia, Okba Kazar, Ezedin Barka, Saad Harous

Informatica (Slovenia), 2024

New bio-inspired approach for deep learning techniques applied to neonatal seizures.

Mohamed Akram Khelili, Sihem Slatnia, Okba Kazar, Seyedali Mirjalili, Samir Bourekkache, Guadalupe Ortiz, Yizhang Jiang

Int. J. Medical Eng. Informatics, 2024

2023

Deep learning and metaheuristics application in internet of things: A literature review.

Mohamed Akram Khelili, Sihem Slatnia, Okba Kazar, Abdelhak Merizig, Seyedali Mirjalili

Microprocess. Microsystems, April, 2023

2022

A generic feature-independent pyramid multilevel model for Arabic handwriting recognition.

Aicha Korichi, Sihem Slatnia, Oussama Aiadi, Belal Khaldi

Multim. Tools Appl., 2022

A third generation genetic algorithm NSGAIII for task scheduling in cloud computing.

Imene Latreche, Sihem Slatnia, Okba Kazar, Mohamed Batouche

J. King Saud Univ. Comput. Inf. Sci., 2022

IoMT-fog-cloud based architecture for Covid-19 detection.

Mohamed Akram Khelili, Sihem Slatnia, Okba Kazar, Saad Harous

Biomed. Signal Process. Control., 2022

Blockchain Technology for Secure Shared Medical Data.

M'hamed Mancer, Mohamed Akram Khelili, Ezedin Barka, Okba Kazar, Sihem Slatnia, Saad Harous, Belkacem Athamena, Zina Houhamdi

Proceedings of the International Arab Conference on Information Technology, 2022

Deep Learning for Single-Channel EEG-Based Driver Drowsiness: Comparative Study.

Imene Latreche, Sihem Slatnia, Okba Kazar, Saad Harous, Belkacem Athamena, Zina Houhamdi

Proceedings of the International Arab Conference on Information Technology, 2022

Fuzzy Logic and Deep learning Techniques for Covid-19 Detection.

Belkis Hassani, Mohamed Akram Khelili, Okba Kazar, Sihem Slatnia, Saad Harous, Belkacem Athamena, Zina Houhamdi

Proceedings of the International Arab Conference on Information Technology, 2022

2020

Arabic handwriting recognition: Between handcrafted methods and deep learning techniques.

Aicha Korichi, Sihem Slatnia, Oussama Aiadi, Najiba Tagougui, Monji Kherallah

Proceedings of the 21st International Arab Conference on Information Technology, 2020

2007

Evolutionary Cellular Automata Based-Approach for Edge Detection.

Sihem Slatnia, Mohamed Batouche, Kamal E. Melkemi

Proceedings of the Applications of Fuzzy Sets Theory, 2007