Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Amir, Benzaoui"'
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 4162 (2024)
Ear recognition is a complex research domain within biometrics, aiming to identify individuals using their ears in uncontrolled conditions. Despite the exceptional performance of convolutional neural networks (CNNs) in various applications, the effic
Externí odkaz:
https://doaj.org/article/9cdc84a476084f39ab5b0379e343b1c9
Autor:
Khaled Arbateni, Amir Benzaoui
Publikováno v:
Applied Sciences, Vol 14, Iss 7, p 3030 (2024)
Electrocardiography (ECG) is a simple and safe tool for detecting heart conditions. Despite the diaspora of existing heartbeat classifiers, improvements such as real-time heartbeat identification and patient-independent classification persist. Reserv
Externí odkaz:
https://doaj.org/article/4b0ca0d1a53a4743a412248aede6ff0a
Publikováno v:
Applied Sciences, Vol 14, Iss 1, p 153 (2023)
This paper presents a comprehensive survey examining the prevailing feature extraction methodologies employed within biometric palmprint recognition models. It encompasses a critical analysis of extant datasets and a comparative study of algorithmic
Externí odkaz:
https://doaj.org/article/3a2a58cf3e094679868ad96cd8d91c80
Autor:
Nadia Amrouni, Amir Benzaoui, Rafik Bouaouina, Yacine Khaldi, Insaf Adjabi, Ouahiba Bouglimina
Publikováno v:
Sensors, Vol 22, Iss 24, p 9814 (2022)
In recent years, palmprint recognition has gained increased interest and has been a focus of significant research as a trustworthy personal identification method. The performance of any palmprint recognition system mainly depends on the effectiveness
Externí odkaz:
https://doaj.org/article/c95c91194c134189bc2fd1f4e15db7d5
Autor:
Amir Benzaoui, Yacine Khaldi, Rafik Bouaouina, Nadia Amrouni, Hammam Alshazly, Abdeldjalil Ouahabi
Publikováno v:
Neurocomputing. 537:236-270
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4aa188d20517d239d802075ee723a3f
https://doi.org/10.1016/j.neucom.2023.03.040
https://doi.org/10.1016/j.neucom.2023.03.040
Publikováno v:
Sensors, Vol 21, Iss 3, p 728 (2021)
Single-Sample Face Recognition (SSFR) is a computer vision challenge. In this scenario, there is only one example from each individual on which to train the system, making it difficult to identify persons in unconstrained environments, mainly when de
Externí odkaz:
https://doaj.org/article/6f0b71e2ddf547d38dda72ed49501ee6
Single Sample Face Recognition: A Comparative Study between Texture and Deep-Learning-based Features
Autor:
Insaf Adjabi, Amir Benzaoui
Publikováno v:
2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2031c20e3a859721ff9bb71c5b0fbdc4
https://doi.org/10.1109/sta56120.2022.10018996
https://doi.org/10.1109/sta56120.2022.10018996
Publikováno v:
2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e836403000426ba7503af16944fb53ba
https://doi.org/10.1109/sta56120.2022.10018986
https://doi.org/10.1109/sta56120.2022.10018986
Publikováno v:
IEEE Sensors Journal
IEEE Sensors Journal, Institute of Electrical and Electronics Engineers, 2021, 21 (18), pp.20704-20713. ⟨10.1109/JSEN.2021.3100151⟩
IEEE Sensors Journal, 2021, 21 (18), pp.20704-20713. ⟨10.1109/JSEN.2021.3100151⟩
IEEE Sensors Journal, Institute of Electrical and Electronics Engineers, 2021, 21 (18), pp.20704-20713. ⟨10.1109/JSEN.2021.3100151⟩
IEEE Sensors Journal, 2021, 21 (18), pp.20704-20713. ⟨10.1109/JSEN.2021.3100151⟩
International audience; Cooperative machine learning has many applications, such as data annotation, where an initial model trained with partially labeled data is used to predict labels for unseen data continuously. Predicted labels with a low confid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6a6dc4ecf1c3319583a5d1e183b2a11
https://doi.org/10.1109/jsen.2021.3100151
https://doi.org/10.1109/jsen.2021.3100151
Autor:
Naoual Atia, Amir Benzaoui, Sébastien Jacques, Madina Hamiane, Kaouther El Kourd, Ayache Bouakaz, Abdeldjalil Ouahabi
Publikováno v:
Cancers; Volume 14; Issue 18; Pages: 4399
Cancers
Cancers, MDPI, 2022, 14 (18), pp.4399. ⟨10.3390/cancers14184399⟩
Cancers
Cancers, MDPI, 2022, 14 (18), pp.4399. ⟨10.3390/cancers14184399⟩
International audience; Segmentation of brain tumor images, to refine the detection and understanding of abnormal masses in the brain, is an important research topic in medical imaging. This paper proposes a new segmentation method, consisting of thr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8abe59ba8a46c4d09b789956e5e1902e