Zobrazeno 1 - 10 of 17 pro vyhledávání: '"Sabeur Abid"'
1
Akademický článek
Markerless vision-based knee osteoarthritis classification using machine learning and gait videos
Autor: Slim Ben Hassine, Ala Balti, Sabeur Abid, Mohamed Moncef Ben Khelifa, Mounir Sayadi
Publikováno v: Frontiers in Signal Processing, Vol 4 (2024)
IntroductionKnee osteoarthritis (KOA) is a major health issue affecting millions worldwide. This study employs machine learning algorithms to analyze human gait using kinematic data, aiming to enhance the diagnosis and detection of KOA. By adopting t
Externí odkaz: https://doaj.org/article/1c5b25ab3c0449f2af114b894cfd342d
Zobrazit plný text záznamu
2
Akademický článek
A combinatorial deep learning method for Alzheimer’s disease classification-based merging pretrained networks
Autor: Houmem Slimi, Ala Balti, Sabeur Abid, Mounir Sayadi
Publikováno v: Frontiers in Computational Neuroscience, Vol 18 (2024)
IntroductionAlzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, memory loss, and impaired daily functioning. Despite significant research, AD remains incurable, highlighting the critical need for
Externí odkaz: https://doaj.org/article/0bbba1ba3cf24279923aa4ca75b47764
Zobrazit plný text záznamu
3
Akademický článek
Enhanced fingerprint classification through modified PCA with SVD and invariant moments
Autor: Ala Balti, Abdelaziz Hamdi, Sabeur Abid, Mohamed Moncef Ben Khelifa, Mounir Sayadi
Publikováno v: Frontiers in Artificial Intelligence, Vol 7 (2024)
This research introduces a novel MOMENTS-SVD vector for fingerprint identification, combining invariant moments and SVD (Singular Value Decomposition), enhanced by a modified PCA (Principal Component Analysis). Our method extracts unique fingerprint
Externí odkaz: https://doaj.org/article/1860d21f9db44eae9afcd1ba74af58e0
Zobrazit plný text záznamu
4
Akademický článek
Roundness and positioning deviation prediction in single point incremental forming using deep learning approaches
Autor: Sofien Akrichi, Amira Abbassi, Sabeur Abid, Noureddine Ben yahia
Publikováno v: Advances in Mechanical Engineering, Vol 11 (2019)
This article proposes a deep learning technique for the prevision of the geometric accuracy in single point incremental forming. Moreover, predicting geometric accuracy is one of the most crucial measures of part quality. Accordingly, roundness and p
Externí odkaz: https://doaj.org/article/bd1b8f5f6d0d496b8efd095d3ee32648
Zobrazit plný text záznamu
5
SPIF Quality Prediction Based on Experimental Study Using Neural Networks Approaches
Autor: N. Ben Yahia, H. Bouzaien, Sofien Akrichi, Sabeur Abid
Publikováno v: Mechanics of Solids. 55:138-151
—This paper deals with the quality prediction of the Single Point Incremental forming (SPIF) process. The quality prediction can be evaluated through five parameters: Roughness surface, thickness, springback, circularity and position errors. Despit
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::49185c726038aad15b8c118686b3e564
https://doi.org/10.3103/s0025654420010033
Zobrazit plný text záznamu
7
Fabric Defect Detection Using Local Homogeneity Analysis and Neural Network
Autor: Ali Rebhi, Sabeur Abid, Issam Benmhammed, Farhat Fnaiech
Publikováno v: Journal of Photonics. 2015:1-9
In the textile manufacturing industry, fabric defect detection becomes a necessary and essential step in quality control. The investment in this field is more than economical when reduction in labor cost and associated benefits are considered. Moreov
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::36c4323115f4c52f1581d5d6174f1ee4
https://doi.org/10.1155/2015/376163
Zobrazit plný text záznamu
8
Roundness and positioning deviation prediction in single point incremental forming using deep learning approaches
Autor: Amira Abbassi, Sabeur Abid, Sofien Akrichi, Noureddine Ben Yahia
Publikováno v: Advances in Mechanical Engineering, Vol 11 (2019)
This article proposes a deep learning technique for the prevision of the geometric accuracy in single point incremental forming. Moreover, predicting geometric accuracy is one of the most crucial measures of part quality. Accordingly, roundness and p
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::642014bb999907f0609b7fb01b838b88
https://doi.org/10.1177/1687814019864465
Zobrazit plný text záznamu
9
Texture defect detection by using polynomial interpolation and multilayer perceptron
Autor: Sabeur Abid
Publikováno v: Journal of Engineered Fibers and Fabrics. 14:155892501882527
This article deals with fabric defect detection. The quality control in textile manufacturing industry becomes an important task, and the investment in this field is more than economical when reduction in labor cost and associated benefits are consid
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::63263548e885381e8eb5b71c06da35de
https://doi.org/10.1177/1558925018825272
Zobrazit plný text záznamu
10
Performance of wavelet analysis and neural networks for pathological voices identification
Autor: Lotfi Salhi, Sabeur Abid, Adnane Cherif, Mourad Talbi
Publikováno v: International Journal of Electronics. 98:1129-1140
Within the medical environment, diverse techniques exist to assess the state of the voice of the patient. The inspection technique is inconvenient for a number of reasons, such as its high cost, the duration of the inspection, and above all, the fact
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6d521811101d1c29c54343429e7088fd
https://doi.org/10.1080/00207217.2011.589739
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje