Zobrazeno 1 - 10
of 13
pro vyhledávání: '"BAHRI, Abdelkhalak"'
Publikováno v:
ITM Web of Conferences, Vol 43, p 01008 (2022)
The most efficient and beneficial mechanism to the feature of extracting data from an image, has been the Convolutional Neural Network (CNN) and it is used in many fields (Optical character recognition, image classification, object recognition and Fa
Externí odkaz:
https://doaj.org/article/a40f88f4192042dba99a06a1f4d988c5
Publikováno v:
Radioelectronic & Computer Systems / Radìoelektronnì ì Komp'ûternì Sistemi; 2024, Issue 1, p17-35, 19p
Autor:
OUMOULYLTE, Mariame, ALAOUI, Ali Omari, FARHAOUI, Yousef, El ALLAOUI, Ahmad, BAHRI, Abdelkhalak
Publikováno v:
Radioelectronic & Computer Systems / Radìoelektronnì ì Komp'ûternì Sistemi; 2023, Issue 4, p75-87, 13p
Autor:
Ahourag, Abdellah, El Moutaouakil, Karim, Bahri, Abdelkhalak, Chellak, Saliha, Baizri, Hicham, Cheggour, Mouna
Publikováno v:
Statistics, Optimization & Information Computing; Jan2023, Vol. 11 Issue 1, p85-94, 10p
Publikováno v:
In Data in Brief February 2024 52
Autor:
Bahri abdelkhalak
Publikováno v:
IOSR Journal of Computer Engineering. 13:43-52
Publikováno v:
2015 Third World Conference on Complex Systems (WCCS).
Nowadays, cancer is the leading cause of death. It's important to find oral cancer early when it can be treated more successful. Content-based image retrieval (CBIR) is a promising method for computer-aided diagnostics leading early diagnosis. In thi
Autor:
Bahri abdelkhalak, Hamid Zouaki
Publikováno v:
2011 International Conference on Multimedia Computing and Systems.
Based on the use of KD-tree, we present a method of indexing of the color images. This method combines color's information of the pixels and their positions in the images. It also aims at reducing the size of signatures of each image, and consequentl
Publikováno v:
Advances in Ubiquitous Networking; 2016, p367-379, 13p
Publikováno v:
2015 IEEE/ACS 12th International Conference of Computer Systems & Applications (AICCSA); 2015, p1-9, 9p