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sara daas
sara daas
Badji Mokhtar University Annaba, Algeria
在 univ-annaba.org 的电子邮件经过验证 - 首页
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引用次数
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Multimodal biometric recognition systems using deep learning based on the finger vein and finger knuckle print fusion
S Daas, A Yahi, T Bakir, M Sedhane, M Boughazi, EB Bourennane
IET Image Processing 14 (15), 3859-3868, 2020
492020
A review of finger vein biometrics authentication System
S Daas, M Boughazi, M Sedhane, B Bouledjfane
2018 International Conference on Applied Smart Systems (ICASS), 1-6, 2018
132018
An ecg biometric system based on empirical mode decomposition and hilbert-huang transform for improved feature extraction
H Zehir, T Hafs, S Daas, A Nait-Ali
2023 5th International Conference on Bio-engineering for Smart Technologies …, 2023
32023
Power management strategies of hybrid storage system suppling electric vehicle
D Laid, J Imen, R Nassim, D Sara, L Cherif, AJ Telmoudi
2022 30th Mediterranean Conference on Control and Automation (MED), 1018-1023, 2022
32022
Support vector machine for human identification based on non-fiducial features of the ecg
H Zehir, T Hafs, S Daas, A Nait-Ali
Journal of Engineering Studies and Research 29 (1), 61-69, 2023
22023
Healthcare Decision-Making with an ECG-Based Biometric System
H Zehir, T Hafs, S Daas
2023 International Conference on Decision Aid Sciences and Applications …, 2023
12023
Involutional neural networks for ECG spectrogram classification and person identification
H Zehir, T Hafs, S Daas
International Journal of Signal and Imaging Systems Engineering 13 (1), 41-53, 2024
2024
Finger vein biometric scanner design using Raspberry Pi
S Daas, A Yahi, M Boughazi, EB Bourennane
International Journal of Computational Systems Engineering 6 (5), 231-238, 2021
2021
Multimodal data fusion: biometrics application
D Sara
https://biblio.univ-annaba.dz/wp-content/uploads/2022/12/These-Daas-Sara.pdf, 2020
2020
TinyCNN: An Embedded CNN Model for Speaker Identification Using ESP32
H Zehir, T Hafs, S Daas
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