Výsledky vyhledávání - "Khaled BENSID"

Akademický článek

Enhanced SVM Based Covid 19 Detection System Using Efficient Transfer Learning Algorithms

Autor: Abdelhai LATI, Khaled BENSID, Ibtissem LATI, Chahra GEZZAL

Publikováno v: ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 22, Iss 1 (2023)

The detection of the novel coronavirus disease (COVID-19) has recently become a critical task for medical diagnosis. Knowing that deep Learning is an advanced area of machine learning that has gained much of interest, especially convolutional neural

Externí odkaz: https://doaj.org/article/cc24a55f127e48c6807ba9495d9d702e

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Akademický článek

Efficient covid19 disease diagnosis based on cough signal processing and supervised machine learning

Autor: Khaled Bensid, Abdelhai Lati, Azeddine Benlamoudi, Brahim Elkhalil Ghouar, Mohammed Larbi Senoussi

Publikováno v: Diagnostyka, Vol 24, Iss 1, Pp 1-8 (2022)

The spread of the coronavirus has claimed the lives of millions around the world, which led to the emergence of an economic and health crisis at the global level, which prompted many researchers to submit proposals for early diagnosis of the coronavi

Externí odkaz: https://doaj.org/article/00486ab1d30d4cb58dc6b11a56a6e445

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Akademický článek

Face Presentation Attack Detection Using Deep Background Subtraction

Autor: Azeddine Benlamoudi, Salah Eddine Bekhouche, Maarouf Korichi, Khaled Bensid, Abdeldjalil Ouahabi, Abdenour Hadid, Abdelmalik Taleb-Ahmed

Publikováno v: Sensors, Vol 22, Iss 10, p 3760 (2022)

Currently, face recognition technology is the most widely used method for verifying an individual’s identity. Nevertheless, it has increased in popularity, raising concerns about face presentation attacks, in which a photo or video of an authorized

Externí odkaz: https://doaj.org/article/c2509710e5a540368195c7079969ee9c

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Automatically weighted binary multi-view clustering via deep initialization (AW-BMVC)

Autor: Khamis Houfar, Djamel Samai, Fadi Dornaika, Azeddine Benlamoudi, Khaled Bensid, Abdelmalik Taleb-Ahmed

Publikováno v: Pattern Recognition
Pattern Recognition, 2023, 137, pp.109281. ⟨10.1016/j.patcog.2022.109281⟩

International audience; Clustering is inherently a process of exploratory data analysis. It has attracted more attention recently because much real-world data consists of multiple representations or views. However, it becomes increasingly problematic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a562341a71ae118100a2157d7b574a00
https://doi.org/10.1016/j.patcog.2022.109281

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Face Spoof Attack Detection using Deep Background Subtraction

Autor: Azeddine Benlamoudi, Salah Eddine Bekhouche, Maarouf Korichi, Khaled Bensid, Abdeldjalil Ouahabi, Abdenour Hadid, Abdelmalik Taleb-Ahmed

Currently, face recognition technologies are the most widely used methods for verifying 1an individual’s identity. Nevertheless, it has increased in popularity, raising concerns about face spoofing attacks, in which a photo or video of an authorize

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::735bccfa6e046b4c0bd1eb87307f6b00

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Efficient palmprint biometric identification systems using deep learning and feature selection methods

Autor: Selma Trabelsi, Djamel Samai, Fadi Dornaika, Azeddine Benlamoudi, Khaled Bensid, Abdelmalik Taleb-Ahmed

Publikováno v: Neural Computing and Applications
Neural Computing and Applications, 2022, 34, pp.12119-12141. ⟨10.1007/s00521-022-07098-4⟩

Over the past two decades, several studies have paid great attention to biometric palmprint recognition. Recently, most methods in literature adopted deep learning due to their high recognition accuracy and the capability to adapt with different acqu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1525bc9949cd7dd27be8e4e9c19353e
https://hal.science/hal-03614754/file/Trabelsi_2022_Article_EfficientPalmprintBiometricIde.pdf

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Finger-Knuckle-Print Recognition Using Deep Convolutional Neural Network

Autor: Fadi Dornaika, Khaled Bensid, Azeddine Benlamoudi, Abdallah Meraoumia, Djamel Samai, Selma Trabelsi, Abdelmalik Taleb-Ahmed

Publikováno v: 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP 2020 )
1st International Conference on Communications, Control Systems and Signal Processing (CCSSP 2020 ), May 2020, EL OUED, Algeria. pp.163-168, ⟨10.1109/CCSSP49278.2020.9151531⟩

ISBN 978-1-7281-5836-5 ; e-ISBN 978-1-7281-5835-8; International audience; Biometric technology has become essential in our daily life. In such a biometric system, personal identification is based on behavioral or biological characteristics. Recently

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5702942fcd5f4fd628621162ae30c1a
https://doi.org/10.1109/ccssp49278.2020.9151531

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An Improved Multispectral Palmprint System Using Deep CNN-based Palm-Features

Autor: Abdallah Meraoumia, Djamel Samai, Selma Trabelsi, Khaled Bensid, Abdelmalik Taleb-Ahmed

Publikováno v: International Conference on Advanced Electrical Engineering (ICAEE 2019)
International Conference on Advanced Electrical Engineering (ICAEE 2019), Nov 2019, Algiers, Algeria. pp.1-6, ⟨10.1109/ICAEE47123.2019.9015074⟩

International audience; Due to security imperatives, biometrics has attracted a lot of attention in recent decades. Biometric recognition refers to the identification of individuals based on their physiological and/or behavioral traits. Among the var

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edce26b89296b41bfe9861c9d870bb97
https://uphf.hal.science/hal-03572090

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2D and 3D Palmprint Recognition using Deep Learning Method

Autor: Khaled Bensid, Mouldi Bedda, Djamel Samai, Abdelmalik Taleb-Ahmed, Abdallah Meraoumia

Publikováno v: PAIS
2018 3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS)
2018 3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS), Oct 2018, Tebessa, Algeria. pp.1-6, ⟨10.1109/PAIS.2018.8598522⟩

International audience; In the last years, several researchers have interested in two-dimensional (2D) palmprint recognition. In order to enhance the security of biometric systems, recently, some works proposed to use three-dimensional (3D) palmprint

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71d2bf18f0aacb972f28b315d3cd1dc7
https://doi.org/10.1109/pais.2018.8598522

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Deep learning feature extraction for multispectral palmprint identification

Autor: Djamel Samai, Fatima Zohra Laallam, Abdelah Meraoumia, Khaled Bensid

Publikováno v: Journal of Electronic Imaging. 27:1

Person’s identity validation is becoming much more essential due to the increasing demand for high-security systems. A biometric system testifies the authenticity of specific physiological or behavioral characteristics-based biometric technology. T

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::91d6875b7ea956a9b87f53038b006e8b
https://doi.org/10.1117/1.jei.27.3.033018

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