Zobrazeno 1 - 10
of 146
pro vyhledávání: '"Fkihi, A."'
Autor:
Moussaid, Abdellatif, El Fkihi, Sanaa, Zennayi, Yahya, Kassou, Ismail, Bourzeix, François, Lahlou, Ouiam, El Mansouri, Loubna, Imani, Yasmina
Publikováno v:
In Journal of Open Innovation: Technology, Market, and Complexity June 2023 9(2)
Autor:
Abdellatif Moussaid, Sanaa El Fkihi, Yahya Zennayi, Ismail Kassou, François Bourzeix, Ouiam Lahlou, Loubna El Mansouri, Yasmina Imani
Publikováno v:
Journal of Open Innovation: Technology, Market and Complexity, Vol 9, Iss 2, Pp 100075- (2023)
The goal of this paper is to develop a deep learning model for predicting citrus yield. The data used consists of two sources: (1) field data that includes information on fertilization and phytosanitary treatment products, water quantities used for i
Externí odkaz:
https://doaj.org/article/348f98371ecb4c83ab5551f20d723b71
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing August 2021 178:314-327
Publikováno v:
International Journal of Advanced Computer Science & Applications; Aug2024, Vol. 15 Issue 8, p551-560, 10p
Autor:
Abdellatif Moussaid, Sanaa El Fkihi, Yahya Zennayi, Ouiam Lahlou, Ismail Kassou, François Bourzeix, Loubna El Mansouri, Yasmina Imani
Publikováno v:
Informatics, Vol 9, Iss 4, p 80 (2022)
The overall goal of this study is to define an intelligent system for predicting citrus fruit yield before the harvest period. This system uses a machine learning algorithm trained on historical field data combined with spectral information extracted
Externí odkaz:
https://doaj.org/article/c6faa3195ca64067a6d82614c5bdbac3
Autor:
Clero, Kaoutar, Ed-Diny, Said, Cherkaoui, Mouhamed, Achalhi, Mohammed, El Fkihi, Sanaa, Benzakour, Intissar, Soror, Tarik, Rziki, Said, Bourzeix, François, Tagemouati, Hicham, Nadour, Mohamed
Publikováno v:
Euro-Mediterranean Journal for Environmental Integration; Mar2024, Vol. 9 Issue 1, p431-443, 13p
Autor:
Hatim Derrouz, Abderrahim Elbouziady, Hamd Ait Abdelali, Rachid Oulad Haj Thami, Sanaa El Fkihi, Francois Bourzeix
Publikováno v:
IEEE Access, Vol 7, Pp 72528-72537 (2019)
Vehicle type classification is a critical function in any intelligent transportation system (ITS). In this paper, we present a novel two-layer vehicle type classification framework based on the vehicle's 3D parameters and its local features. This fra
Externí odkaz:
https://doaj.org/article/b1e2aabcfd154fa69c8c56176810628e
Publikováno v:
IEEE Access, Vol 7, Pp 154786-154795 (2019)
In the area of health care, fall is a dangerous problem for aged persons. Sometimes, they are a serious cause of death. In addition to that, the number of aged persons will increase in the future. Therefore, it is necessary to develop an accurate sys
Externí odkaz:
https://doaj.org/article/a21e148297f9407ab4caddd35d7d5e4d
Autor:
Mohamed Alimoussa, Alice Porebski, Nicolas Vandenbroucke, Sanaa El Fkihi, Rachid Oulad Haj Thami
Publikováno v:
Journal of Imaging, Vol 8, Iss 8, p 217 (2022)
Color texture classification aims to recognize patterns by the analysis of their colors and their textures. This process requires using descriptors to represent and discriminate the different texture classes. In most traditional approaches, these des
Externí odkaz:
https://doaj.org/article/35169c085a8b4957a5f035c9f247993f
Publikováno v:
Journal of Imaging, Vol 7, Iss 11, p 241 (2021)
Smart agriculture is a new concept that combines agriculture and new technologies to improve the yield’s quality and quantity as well as facilitate many tasks for farmers in managing orchards. An essential factor in smart agriculture is tree crown
Externí odkaz:
https://doaj.org/article/33ce09e75da54c9ca4d1a83fb016e350