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2020 – today
- 2024
[j7]Salmane Douch
, Mohamed Riduan Abid, Khalid Zine-Dine, Driss Bouzidi, Driss Benhaddou:
Split Edge-Cloud Neural Networks for Better Adversarial Robustness. IEEE Access 12: 158854-158865 (2024)- [j6]Ziad Akiirne, Abdellah Sghir, Driss Bouzidi:
UDAP: ultra-lightweight dot product-based authentication protocol for RFID systems. Cybersecur. 7(1): 68 (2024) - [c9]Ziad Akiirne, Abbes Benkirane, Driss Bouzidi:
A Comparative Study of Authentication Protocols in DGC-Based Smart Lock Systems. WINCOM 2024: 1-6 - 2023
- [c8]Btissam Bousarhane, Driss Bouzidi:
Reducing Deep Learning Complexity Toward a Fast and Efficient Classification of Traffic Signs. AICV 2023: 37-47 - [c7]Zakaria Naji, Driss Bouzidi:
Deep Learning Approach for a Dynamic Swipe Gestures Based Continuous Authentication. AICV 2023: 48-57 - 2022
- [j5]Salmane Douch, Mohamed Riduan Abid, Khalid Zine-Dine, Driss Bouzidi, Driss Benhaddou:
Edge Computing Technology Enablers: A Systematic Lecture Study. IEEE Access 10: 69264-69302 (2022) - [j4]Khadija Elghomary, Driss Bouzidi, Najima Daoudi:
Design of a Smart MOOC Trust Model: Towards a Dynamic Peer Recommendation to Foster Collaboration and Learner's Engagement. Int. J. Emerg. Technol. Learn. 17(5): 36-56 (2022) - 2021
- [j3]Btissam Bousarhane, Saloua Bensiali, Driss Bouzidi:
Road signs recognition: state-of-the-art and perspectives. Int. J. Data Anal. Tech. Strateg. 13(1/2): 128-150 (2021) - [c6]Btissam Bousarhane, Driss Bouzidi:
New Deep Learning Architecture for Improving the Accuracy and the Inference Time of Traffic Signs Classification in Intelligent Vehicles. BDIoT 2021: 16-31 - [c5]Btissam Bousarhane, Driss Bouzidi:
Partially Connected Neural Networks for an Efficient Classification of Traffic Signs. FRUCT 2021: 16-23 - [e1]Aboul Ella Hassanien, Abdelkrim Haqiq, Peter J. Tonellato, Ladjel Bellatreche, Sam Goundar, Ahmad Taher Azar, Essaid Sabir, Driss Bouzidi:
Proceedings of the International Conference on Artificial Intelligence and Computer Vision, AICV 2021, Hassan 1st University, Morocco, June 28-30, 2021. Advances in Intelligent Systems and Computing 1377, Springer 2021, ISBN 978-3-030-76345-9 [contents] - 2020
- [j2]Khadija Elghomary, Driss Bouzidi, Najima Daoudi:
Study and review of OSN and SIoT trust models: towards a dynamic MOOC trust model. Int. J. Multim. Intell. Secur. 3(4): 407-431 (2020)
2010 – 2019
- 2019
- [c4]Btissam Bousarhane, Driss Bouzidi:
Convolutional Neural Networks for Traffic Signs Recognition. ACOSIS 2019: 73-91 - [c3]Khadija Elghomary, Driss Bouzidi, Najima Daoudi:
A Comparative Analysis of OSN and SIoT Trust Models for a trust model adapted to MOOCs platforms. NISS 2019: 9:1-9:8 - 2014
- [j1]Abdelkrim Haqiq, Driss Bouzidi, Amine Berqia:
Editorial. J. Mobile Multimedia 9(3&4): 171-172 (2014) - [c2]Fatima-Zahra Ammor, Driss Bouzidi, Amina Elomri:
A support model for tutoring to facilitate and automate tutoring interventions. ICMCS 2014: 646-651 - 2012
- [c1]Fatima-Zahra Ammor, Driss Bouzidi, Amina Elomri:
An automatic and customized support based on artificial ants. CIST 2012: 10-15
Coauthor Index
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