Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Mohammed Lamine Kherfi"'
Publikováno v:
IEEE Access, Vol 11, Pp 96923-96938 (2023)
In the midst of the ongoing COVID-19 pandemic, there has been a surge in scientific literature aimed at understanding the virus and its impact. However, it has become challenging for a researcher to deal with thousands of articles published daily. Th
Externí odkaz:
https://doaj.org/article/195fbe2d447a442c8c734b53db7bd87b
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:
Symmetry, Vol 13, Iss 9, p 1705 (2021)
In this paper, we propose a novel method for plant leaves recognition by incorporating an unsupervised convolutional auto-encoder (CAE) and Siamese neural network in a unified framework by considering Siamese as an alternative to the conventional los
Externí odkaz:
https://doaj.org/article/9340218e2aa94cfab96942b10d6c3c18
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
Autor:
Hanane Amirat, Nasreddine Lagraa, Philippe Fournier-Viger, Youcef Ouinten, Mohammed Lamine Kherfi, Younes Guellouma
Publikováno v:
Applied Intelligence. 53:7562-7598
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ad4523bebcf77ea0ded34a334207d63
https://doi.org/10.1007/s10489-022-03842-4
https://doi.org/10.1007/s10489-022-03842-4
Publikováno v:
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95dbda59dab3ae7c442b215086b616dc
https://doi.org/10.1109/pais56586.2022.9946877
https://doi.org/10.1109/pais56586.2022.9946877
In this paper, we introduce a novel algorithm that unifies manifold embedding and clustering (UEC) which efficiently predicts clustering assignments of the high dimensional data points in a new embedding space. The algorithm is based on a bi-objectiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::185e577a35af99b0d2b11787bef6b908
https://doi.org/10.36227/techrxiv.16926754.v1
https://doi.org/10.36227/techrxiv.16926754.v1
Autor:
Mohammed Lamine Kherfi, Mebarka Allaoui, Nour El-Houda Sayah Ben Aissa, Abdellah Ben Belghith
Publikováno v:
2021 International Conference on Recent Advances in Mathematics and Informatics (ICRAMI).
The advent of the COVID-19 pandemic caused by the Sars-CoV2 virus has caused serious damage in different areas. This has prompted thousands of researchers from different disciplines (biology, medicine, artificial intelligence, economics, etc.) to pub
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67ac034ba7a75a65fe745818ec0e7999
https://doi.org/10.1109/icrami52622.2021.9585958
https://doi.org/10.1109/icrami52622.2021.9585958