Zobrazeno 1 - 10 of 53 pro vyhledávání: '"Ihsen Alouani"'
1
A brain-inspired approach for malware detection using sub-semantic hardware features
Autor: Maryam Parsa, Khaled N. Khasawneh, Ihsen Alouani
Publikováno v: Parsa, M, Khasawneh, K N & Alouani, I 2023, A brain-inspired approach for malware detection using sub-semantic hardware features . in GLSVLSI '23: Proceedings of the Great Lakes Symposium on VLSI 2023 . Proceedings of the Great Lakes Symposium on VLSI, Association for Computing Machinery, pp. 139–142, GLSVLSI '23: Great Lakes Symposium on VLSI 2023, Knoxville, United States, 05/06/2023 . https://doi.org/10.1145/3583781.3590293
Despite significant efforts to enhance the resilience of computer systems against malware attacks, the abundance of exploitable vulnerabilities remains a significant challenge. While preventing compromises is difficult, traditional signature-based st
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fce08a677e6dcb2002092f06dbbb1fed
https://pure.qub.ac.uk/en/publications/1c98dae8-2a23-4664-9db7-c3ade6ce2000
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3
Ternary SRAM circuit designs with CNTFETs
Autor: Doaa K. Abdelrahman, Mohammed E. Fouda, Ihsen Alouani, Lobna A. Said, Ahmed G. Radwan
Publikováno v: International Journal of Circuit Theory and Applications
International Journal of Circuit Theory and Applications, 2023, ⟨10.1002/cta.3586⟩
International audience; SummaryStatic random-access memory (SRAM) is a cornerstone in modern microprocessors architecture, as it has high power consumption, large area, and high complexity. Also, the stability of the data in the SRAM against the nois
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3910d7aaaf8787164ba8e04ec486fb19
https://doi.org/10.1002/cta.3586
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4
Toward a Reliable Estimation of Fluid Concentration Using High Frequency Acoustic Waves: A Machine Learning Approach
Autor: Venu Babu Thati, Ibrahim Zaaroura, Malika Toubal, Nikolay Smagin, Souad Harmand, Julien Carlier, Ihsen Alouani
Publikováno v: IEEE Sensors Journal
IEEE Sensors Journal, 2022, 22, pp.8772-8780. ⟨10.1109/JSEN.2022.3161380⟩
dataset associé: This article includes datasets hosted on IEEE DataPort(TM) DOI: 10.21227/8nnk-kd35dataset name: FLUID CONCENTRATION ESTIMATION; International audience; Using acoustic waves to estimate fluid concentration is a promising technology d
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32bf0011681b958244cb4cdaef414852
https://doi.org/10.1109/jsen.2022.3161380
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5
Enabling User Relaying in MCM-NOMA Under Doubly Selective Channels Using Iterative Interference Cancellation Schemes for Wireless IoT Networks
Autor: Anis Amazigh Hamza, Iyad Dayoub, Ihsen Alouani, Abderrahmane Amrouche
Publikováno v: IEEE Sensors Letters
IEEE Sensors Letters, 2022, 6 (3), pp.7500304. ⟨10.1109/LSENS.2022.3148330⟩
Cell-edge users of the future cellular internet of things (IoT) with massive IoT sensors can suffer from extremely severe channel conditions, especially under very high-speed scenarios. In this paper, we present a performance improvement method for c
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dbacbbf9c64da11b9a230e0c753c3be
https://doi.org/10.1109/lsens.2022.3148330
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6
BM-Seg: A new bone metastases segmentation dataset and ensemble of CNN-based segmentation approach
Autor: Marwa Afnouch, Olfa Gaddour, Yosr Hentati, Fares Bougourzi, Mohamed Abid, Ihsen Alouani, Abdelmalik Taleb Ahmed
Publikováno v: Expert Systems with Applications
Expert Systems with Applications, 2023, 228, pp.120376. ⟨10.1016/j.eswa.2023.120376⟩
International audience; A B S T R A C TIn recent years, Machine Learning approaches (ML) have shown promising results in addressing many tasks inmedical image analysis. In particular, the analysis of Bone Metastases (BM) has attracted considerable in
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f1eaec0569e755542e146e037a59b68
https://doi.org/10.1016/j.eswa.2023.120376
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8
Identification of Ultra High Frequency Acoustic Coda Waves Using Deep Neural Networks
Autor: Venu Babu Thati, Nikolay Smagin, Julien Carlier, Hatem Dahmani, Ihsen Alouani
Publikováno v: IEEE Sensors Journal
IEEE Sensors Journal, Institute of Electrical and Electronics Engineers, 2021, 21 (18), pp.20640-20647. ⟨10.1109/JSEN.2021.3099078⟩
IEEE Sensors Journal, 2021, 21 (18), pp.20640-20647. ⟨10.1109/JSEN.2021.3099078⟩
International audience; Due to the multi-path propagation and extreme sensitivity to minor changes in the propagation medium, the coda waves open new fascinating possibilities in the non-destructive evaluation and acoustic imaging. However, their noi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2161f80b3dc2017c47433fee8d5f29f4
https://doi.org/10.1109/jsen.2021.3099078
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9
CNTFET‐based ternary address decoder design
Autor: Rawan Mohammed, Mohammed E. Fouda, Ihsen Alouani, Lobna A. Said, Ahmed G. Radwan
Publikováno v: International Journal of Circuit Theory and Applications
International Journal of Circuit Theory and Applications, 2022, 50 (10), pp.3682-3691. ⟨10.1002/cta.3340⟩
International audience; With the end of Moore's law, new paradigms are investigated for more scalable computing systems. One of the promising directions is to examine the data representation toward higher data density per hardware element. Multiple v
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0864b52791309ac1058d449db3c56cd0
https://hal.science/hal-03749121
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10
ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints
Autor: Amira Guesmi, Khaled N. Khasawneh, Nael Abu-Ghazaleh, Ihsen Alouani
Publikováno v: 2022 International Joint Conference on Neural Networks (IJCNN)
2022 International Joint Conference on Neural Networks (IJCNN), Jul 2022, Padua, Italy. pp.1-10, ⟨10.1109/IJCNN55064.2022.9892437⟩
Advances in deep learning have enabled a wide range of promising applications. However, these systems are vulnerable to Adversarial Machine Learning (AML) attacks; adversarially crafted perturbations to their inputs could cause them to misclassify. S
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::959abd4cc5913d2f0896aaa0bd8c36c4
https://hal.science/hal-03858376/document
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