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2020 – today
- 2024
[j6]Hakima Rym Rahal, Sihem Slatnia, Okba Kazar
, Ezedin Barka, Saad Harous:
Blockchain-based multi-diagnosis deep learning application for various diseases classification. Int. J. Inf. Sec. 23(1): 15-30 (2024)- [j5]Mohamed Akram Khelili, Sihem Slatnia, Okba Kazar, Seyedali Mirjalili, Samir Bourekkache, Guadalupe Ortiz, Yizhang Jiang:
New bio-inspired approach for deep learning techniques applied to neonatal seizures. Int. J. Medical Eng. Informatics 16(3): 260-273 (2024) - 2023
- [j4]Mohamed Akram Khelili, Sihem Slatnia, Okba Kazar, Abdelhak Merizig, Seyedali Mirjalili:
Deep learning and metaheuristics application in internet of things: A literature review. Microprocess. Microsystems 98: 104792 (2023) - 2022
- [j3]Mohamed Akram Khelili, Sihem Slatnia, Okba Kazar, Saad Harous:
IoMT-fog-cloud based architecture for Covid-19 detection. Biomed. Signal Process. Control. 76: 103715 (2022) - [j2]Imene Latreche, Sihem Slatnia, Okba Kazar, Mohamed Batouche:
A third generation genetic algorithm NSGAIII for task scheduling in cloud computing. J. King Saud Univ. Comput. Inf. Sci. 34(9): 7515-7529 (2022) - [j1]Aicha Korichi, Sihem Slatnia, Oussama Aiadi, Belal Khaldi:
A generic feature-independent pyramid multilevel model for Arabic handwriting recognition. Multim. Tools Appl. 81(15): 20719-20739 (2022) - [c5]Belkis Hassani, Mohamed Akram Khelili, Okba Kazar, Sihem Slatnia, Saad Harous, Belkacem Athamena, Zina Houhamdi:
Fuzzy Logic and Deep learning Techniques for Covid-19 Detection. ACIT 2022: 1-9 - [c4]Imene Latreche, Sihem Slatnia, Okba Kazar, Saad Harous, Belkacem Athamena, Zina Houhamdi:
Deep Learning for Single-Channel EEG-Based Driver Drowsiness: Comparative Study. ACIT 2022: 1-5 - [c3]M'hamed Mancer, Mohamed Akram Khelili, Ezedin Barka, Okba Kazar, Sihem Slatnia, Saad Harous, Belkacem Athamena, Zina Houhamdi:
Blockchain Technology for Secure Shared Medical Data. ACIT 2022: 1-6 - 2020
- [c2]Aicha Korichi, Sihem Slatnia, Oussama Aiadi, Najiba Tagougui, Monji Kherallah:
Arabic handwriting recognition: Between handcrafted methods and deep learning techniques. ACIT 2020: 1-6
2000 – 2009
- 2007
- [c1]Sihem Slatnia, Mohamed Batouche, Kamal E. Melkemi:
Evolutionary Cellular Automata Based-Approach for Edge Detection. WILF 2007: 404-411
Coauthor Index
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