Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Abdeldjalil, Ouahabi"'
Publikováno v:
Microorganisms, Vol 11, Iss 10, p 2608 (2023)
Cutaneous leishmaniasis, the most common form of leishmaniasis, causes long-term skin lesions on exposed areas of the skin. It is caused by a protozoan parasite belonging to the genus Leishmania and is transmitted via infected phlebotomine sand flies
Externí odkaz:
https://doaj.org/article/59ee55b266184b6cbc72637ab512200f
Publikováno v:
Frattura ed Integrità Strutturale, Vol 15, Iss 58, Pp 33-47 (2021)
This paper proposes an efficient methodology to monitor the formation of cracks in concrete after non-destructive ultrasonic testing of a structure. The objective is to be able to automatically detect the initiation of cracks early enough, i.e. well
Externí odkaz:
https://doaj.org/article/7e1bbb53828740c3a042343e30833858
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
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
Publikováno v:
Sensors, Vol 22, Iss 6, p 2199 (2022)
In remote sensing applications and medical imaging, one of the key points is the acquisition, real-time preprocessing and storage of information. Due to the large amount of information present in the form of images or videos, compression of these dat
Externí odkaz:
https://doaj.org/article/261af8bd2fdb4cceb404f33ea2322a30
Publikováno v:
Education & Information Technologies; Dec2023, Vol. 28 Issue 12, p15657-15670, 14p
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
Publikováno v:
Frattura ed Integrità Strutturale, Vol 15, Iss 58, Pp 33-47 (2021)
Frattura ed Integrità Strutturale; Vol. 15 No. 58 (2021): October 2021; 33-47
Frattura ed Integrità Strutturale; V. 15 N. 58 (2021): October 2021; 33-47
Frattura ed Integrità Strutturale / Fracture and Structural Integrity
Frattura ed Integrità Strutturale / Fracture and Structural Integrity, Università di Cassino, 2021, 15 (58), pp.33-47. ⟨10.3221/IGF-ESIS.58.03⟩
Frattura ed Integrità Strutturale / Fracture and Structural Integrity, 2021, 15 (58), pp.33-47. ⟨10.3221/IGF-ESIS.58.03⟩
Frattura ed Integrità Strutturale; Vol. 15 No. 58 (2021): October 2021; 33-47
Frattura ed Integrità Strutturale; V. 15 N. 58 (2021): October 2021; 33-47
Frattura ed Integrità Strutturale / Fracture and Structural Integrity
Frattura ed Integrità Strutturale / Fracture and Structural Integrity, Università di Cassino, 2021, 15 (58), pp.33-47. ⟨10.3221/IGF-ESIS.58.03⟩
Frattura ed Integrità Strutturale / Fracture and Structural Integrity, 2021, 15 (58), pp.33-47. ⟨10.3221/IGF-ESIS.58.03⟩
International audience; This paper proposes an efficient methodology to monitor the formation of cracks in concrete after non-destructive ultrasonic testing of a structure. The objective is to be able to automatically detect the initiation of cracks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cd954275b6428c7a12652eb1273dcce
https://www.fracturae.com/index.php/fis/article/view/3050/3307
https://www.fracturae.com/index.php/fis/article/view/3050/3307
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:
Soumia Sid Ahmed, Zoubeida Messali, Abdeldjalil Ouahabi, Sylvain Trepout, Cedric Messaoudi, Sergio Marco
Publikováno v:
Entropy, Vol 17, Iss 5, Pp 3461-3478 (2015)
Image denoising is a very important step in cryo-transmission electron microscopy (cryo-TEM) and the energy filtering TEM images before the 3D tomography reconstruction, as it addresses the problem of high noise in these images, that leads to a loss
Externí odkaz:
https://doaj.org/article/85d6454e8163444ea3ca5724479e1749