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chogan--hannaneh
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Improving the Multivariate Classification Results of Hyperspectral Imaging Data by Considering Spatial Information Using Deep Learning Methods
, M.Sc. Thesis Sharif University of Technology ; Parastar Shahri, Hadi (Supervisor)
Abstract
Hyperspectral imaging (HSI) has gained attention because it offers many benefits: it requires minimal sample preparation, is non-destructive, highly accurate, and provides detailed spatial information. However, the large amount of data it generates leads to high computational costs. To handle this and extract useful information from HSI data, various machine learning and chemometrics methods have been developed in recent years. This study aims to use a U-shaped deep neural network (U-Net) to classify hyperspectral imaging data in the 400-1000 nm wavelength range. The goal is to authenticate and detect adulterations in saffron, a valuable product. This method preserves the spatial information...
Graphene oxide-l-arginine nanogel: A pH-sensitive fluorouracil nanocarrier
, Article Biotechnology and Applied Biochemistry ; Volume 66, Issue 5 , 2019 , Pages 772-780 ; 08854513 (ISSN) ; Ghaemi, A ; Masoudi, G ; Chogan, F ; Rashedi, H ; Yazdian, F ; Omidi, M ; Javadi, S ; Haghiralsadat, B. F ; Teimouri, M ; Faal Hamedani, N ; Sharif University of Technology
Wiley-Blackwell Publishing Ltd
2019
Abstract
Nowadays, putting forward an accurate cancer therapy method with minimal side effects is an important topic of research. Nanostructures, for their ability in controlled and targeted drug release on specific cells, are critical materials in this field. In this study, a pH-sensitive graphene oxide-l-arginine nanogel was synthesized to carry and release 5-fluorouracil. Optimized conditions using statistical analysis, based on the maximum relative viscosity of nanogel, were evaluated: 5.489 for the concentration of l-arginine and 2.404 for pH. The prepared nanogels were characterized using scanning electron microscope and transmission electron microscope images and Fourier-transform infrared...