Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Shaheera Rashwan"'
Publikováno v:
Journal of Electrical Systems and Information Technology, Vol 11, Iss 1, Pp 1-14 (2024)
Abstract Roll force prediction plays a significant role in rolling schedule and optimization. For a specific steel grade, the roll force can be determined by the aid of several factors: rolling speed, initial thickness, ratio of thickness reduction,
Externí odkaz:
https://doaj.org/article/97f2b631476b456c9df946bf4a685957
Publikováno v:
Machine Learning and Applications: An International Journal. 10:1-7
Prediction of quality and consumers’ preferences is essential task for food producers to improve their market share and reduce any gap in food safety standards. In this paper, we develop a machine learning method to predict yogurt preferences based
Autor:
Shaheera Rashwan
Publikováno v:
International Journal of Image Processing and Vision Science. :122-135
Coarse resolution captured in remote sensing causes the combination of different materials in one pixel, called the mixed pixel. Spectral unmixing estimates the combination of endmembers in mixed pixels and their corresponding abundance maps in the H
Autor:
Shaheera Rashwan
Publikováno v:
2022 11th International Conference on Information Communication and Applications (ICICA).
Publikováno v:
International Journal of Image and Data Fusion. 12:176-184
High magnification optical cameras, such as microscopes or macro-photography, cannot capture an object that is totally in focus. In this case, image acquisition is done by capturing the object/scen...
Autor:
Ashraf Khalil, Shaheera Rashwan
Publikováno v:
International Journal of Computer Applications. 176:38-41
Autor:
Shaheera Rashwan, Walaa M. Sheta
Publikováno v:
International Journal of Image and Graphics. 22
The main objective of hyper/multispectral image fusion is producing a composite color image that allows for an appropriate visualization of the relevant spatial and spectral information. In this paper, we propose a general framework for spectral weig
Autor:
Hala Mousher Ebied, Mohamed F. Tolba, Noha S. Khattab, Shaheera Rashwan, Howida A. Shedeed, Walaa M. Sheta
Publikováno v:
Journal of Applied Remote Sensing. 14
Hyperspectral image (HSI) analysis is a growing area in the community of remote sensing, particularly with images exhibiting high spatial and spectral resolutions. Multiple kernel learning (MKL) has been proposed and found to classify HSIs efficientl
Publikováno v:
Current Bioinformatics. 13:193-206
Publikováno v:
IET Image Processing
IET Image Processing, Institution of Engineering and Technology, 2019, 13 (12), pp.2190-2195. ⟨10.1049/iet-ipr.2018.5094⟩
IET Image Processing, Institution of Engineering and Technology, 2019, 13 (12), pp.2190-2195. ⟨10.1049/iet-ipr.2018.5094⟩
International audience; The spatial pixel resolution of common multispectral and hyperspectral sensors is generally not sufficient to avoid thatmultiple elementary materials contribute to the observed spectrum of a single pixel. To alleviate this lim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb2f900698efead531588ed86be7de08
https://oatao.univ-toulouse.fr/24835/
https://oatao.univ-toulouse.fr/24835/