Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Belal Khaldi"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-17 (2024)
Abstract Teeth segmentation is a crucial and fundamental player for doctors in diagnosis and treatment planning in dentistry. Due to the blurred interdental boundaries, variations in noise, and the complexities arising from the orientation and overla
Externí odkaz:
https://doaj.org/article/e4e89de59b054fa3a68faa50f21e9a59
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 6199 (2024)
The growing adoption of telemedicine necessitates robust security measures for medical images during transmission. This paper proposes a novel blind watermarking system for medical images that utilizes both image gradients and the Discrete Wavelet Tr
Externí odkaz:
https://doaj.org/article/7938fcc688454909b512079cc872806d
Autor:
Oussama Aiadi, Belal Khaldi, Mohammed Lamine Kherfi, Mohamed Lamine Mekhalfi, Abdullah Alharbi
Publikováno v:
IEEE Access, Vol 10, Pp 79655-79668 (2022)
Date fruit is among the major crops in the middle-east region, where millions of tons are harvested every year. Date is a healthy fruit, which involves sugars, minerals and vitamins. In addition, it helps preventing human body from several diseases s
Externí odkaz:
https://doaj.org/article/54230ff64b6d42d7976d34c74f231fa2
Publikováno v:
Buildings, Vol 13, Iss 7, p 1649 (2023)
Accurate building detection is a critical task in urban development and digital city mapping. However, current building detection models for high-resolution remote sensing images are still facing challenges due to complex object characteristics and s
Externí odkaz:
https://doaj.org/article/e1937a2dea4748519b57985766be66b0
Publikováno v:
Applied Sciences, Vol 11, Iss 21, p 10176 (2021)
Automatic image annotation is an active field of research in which a set of annotations are automatically assigned to images based on their content. In literature, some works opted for handcrafted features and manual approaches of linking concepts to
Externí odkaz:
https://doaj.org/article/77652e2b4eb5473cae5966e5af81d21a
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 18, Iss 1 (2019)
In this paper, we propose a method for automatically recognizing different date varieties. The presence of outlier samples could significantly degrade the recognition outcomes. Therefore, we separately prune samples of each variety from outliers usin
Externí odkaz:
https://doaj.org/article/0854778c0b94495b9f5152955592e384
Publikováno v:
Applied Sciences, Vol 11, Iss 11, p 4852 (2021)
Despite the importance of recognizing Arabic calligraphy styles and their potential usefulness for many applications, a very limited number of Arabic calligraphy style recognition works have been established. Thus, we propose a new computational tool
Externí odkaz:
https://doaj.org/article/3218eead57db449ba483f3e31ec9b595
Publikováno v:
Multimedia Tools and Applications. 82:10795-10812
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dee668c04ea961f88a10e6eb4f79365
https://doi.org/10.1007/s11042-022-13788-x
https://doi.org/10.1007/s11042-022-13788-x
Publikováno v:
Advances in Science, Technology and Engineering Systems Journal. 7:167-174
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7828a08606958deca275db3109680a72
https://doi.org/10.25046/aj070319
https://doi.org/10.25046/aj070319
Publikováno v:
Multimedia Tools and Applications. 81:20719-20739
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a719caba5d9fac989c65899db78fcd24
https://doi.org/10.1007/s11042-022-11979-0
https://doi.org/10.1007/s11042-022-11979-0