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Analysis of UV spectral bands using multidimensional scaling

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dc.contributor.author Machado, J. A. Tenreiro
dc.contributor.author Dinç, Erdal
dc.contributor.author Baleanu, Dumitru
dc.date.accessioned 2017-03-17T09:00:50Z
dc.date.available 2017-03-17T09:00:50Z
dc.date.issued 2015-03
dc.identifier.citation Machado, J.A.T., Dinç, E., Baleanu, D. (2015). Analysis of UV spectral bands using multidimensional scaling. Signal Image And Video Processing, 9(3), 573-580. http://dx.doi.org/10.1007/s11760-013-0485-7 tr_TR
dc.identifier.issn 1863-1703
dc.identifier.uri http://hdl.handle.net/20.500.12416/1498
dc.description.abstract This study describes the change of the ultraviolet spectral bands starting from 0.1 to 5.0 nm slit width in the spectral range of 200-400 nm. The analysis of the spectral bands is carried out by using the multidimensional scaling (MDS) approach to reach the latent spectral background. This approach indicates that 0.1 nm slit width gives higher-order noise together with better spectral details. Thus, 5.0 nm slit width possesses the higher peak amplitude and lower-order noise together with poor spectral details. In the above-mentioned conditions, the main problem is to find the relationship between the spectral band properties and the slit width. For this aim, the MDS tool is to used recognize the hidden information of the ultraviolet spectra of sildenafil citrate by using a Shimadzu UV-VIS 2550, which is in the world the best double monochromator instrument. In this study, the proposed mathematical approach gives the rich findings for the efficient use of the spectrophotometer in the qualitative and quantitative studies. tr_TR
dc.language.iso eng tr_TR
dc.publisher Springer London LTD tr_TR
dc.relation.isversionof 10.1007/s11760-013-0485-7 tr_TR
dc.rights info:eu-repo/semantics/closedAccess
dc.subject Spectral Bands tr_TR
dc.subject Multidimensional Scaling tr_TR
dc.subject Visualization tr_TR
dc.subject Quantitative Analysis tr_TR
dc.title Analysis of UV spectral bands using multidimensional scaling tr_TR
dc.type article tr_TR
dc.relation.journal Signal Image And Video Processing tr_TR
dc.contributor.authorID 6981 tr_TR
dc.identifier.volume 9 tr_TR
dc.identifier.issue 3 tr_TR
dc.identifier.startpage 573 tr_TR
dc.identifier.endpage 580 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen Edebiyat Fakültesi, Matematik Bilgisayar Bölümü tr_TR


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