Items where Kingston Author is "Ahmed, Asmau"

Up a level
Export as [feed] Atom [feed] RSS
Group by: Item Type | No Grouping
Number of items: 4.

Ahmed, Asmau Mukhtar (2019) Hydrocarbon quantification using neural networks and deep learning based hyperspectral unmixing. (PhD thesis), Kingston University, .

Ahmed, Asmau M., Duran, Olga, Zweiri, Yahya and Smith, Mike (2019) Quantification of hydrocarbon abundance in soils using deep learning with dropout and hyperspectral data. Remote Sensing, 11(16), p. 1938. ISSN (online) 2072-4292

Ahmed, Asmau M, Duran, Olga, Zweiri, Yahya and Smith, Mike (2018) Quantitative analysis of petroleum hydrocarbon contaminated soils using spectroscopy, spectral unmixing and deep neural networks. In: Bruzzone, Lorenzo and Bovolo, Francesca, (eds.) Proceedings of SPIE : Image and Signal Processing for Remote Sensing XXIV. Washington, U.S. : SPIE. 10789 ISSN (print) 0277-786X ISBN 9781510621619

Ahmed, Asmau M., Duran, Olga, Zweiri, Yahya and Smith, Mike (2017) Hybrid spectral unmixing : using artificial neural networks for linear/non-linear switching. Remote Sensing, 9(8), p. 775. ISSN (online) 2072-4292

This list was generated on Fri Dec 20 03:32:42 2024 GMT.