Multi-Component ATR-FT-IR Mixture AnalysisLibraries of pre-computed ATR-FTIR mixture spectra and conventional ATR-FTIR polymer spectra were used to rapidly identify three major components from an ATR-FTIR spectrum of a sample labeled "EVA".Fiveash Data Management Inc...
K.Principal component analysis of FT-IR spectra for cationic photopolymerization of mixtures of two monomers. Chemometrics and Intelligent Laboratory Systems . 2005Young-Min K,MacGregor J. F,Kostanski L. K.Principal component analysis of FT-IR spectra for cationic photopolymerization of mixtures of ...
A combined FT-ffi microscopy and principal component analysis on softwood cell walls[J]. Camohydrate Polymers 2003 (52) : 449 -453.Hori R, Sugiyama J (2003) A combined FT-IR microscopy and principal component analysis on softwood cell walls. Carbohydr Polym 52: 449-453...
of Squares (PRESS) plot showed the minimumRMSECV was achieved with only 3 and 4 factors for掳Bx (Figure 3) and fructose (Figure 4), respectively. For the best PLS calibration models, the fi...
Genest, S., Salzer, R., and Steiner, G. (2013). "Molecular imaging of paper cross sections by FT-IR spectroscopy and principal component analysis," Anal. Bioanal. Chem. 405(16), 5421-5430. DOI: 10.1007/s00216-013-6967-1Genest S, Salzer R, Steiner G (2013) Molecular imaging of ...
Yanming Zhou,Bobin Li,Pudun Zhang.Fourier Transform Infrared (FT-IR) Imaging Coupled with Principal Component Analysis (PCA) for the Study of Photooxidation of Polypropylene.Applied Spectroscopy. 2012Fourier transform infrared (FT-IR)imaging coupled withprincipal component analysis (PCA) for the study...
Quantitative FT Raman analysis of two component systems[J].Spectrochimica Acta,1997,(1):25-34.doi:10.1016/S1386-1425(97)83006-5.Schweinsberg DP, West YD. Quantitative FT Raman analysis of two component system. Spectrochim Acta, A 1997; 53(1): 25-34....
Chen, "Ensemble learning for independent component analysis," Pattern Recogn. 39, 81- 88 (2006).Lappalainen, H.: Ensemble learning for independent component analysis, In: Proceedings of Int. Workshop on Independent Component Analysis and Signal Separation (ICA99), pp. 7...
Independent component analysis (ICA) is an unsupervised learning method popular in functional magnetic resonance imaging (fMRI). Group ICA has been used to search for biomarkers in neurological disorders including autism spectrum disorder and dementia. However, current methods use a principal component ...
Advanced genetic algorithm (GA)-independent component analysis (ICA) ensemble model for predicting trapped humans through hybrid dimensionality reductionThe collapse of man-made structures, which frequently bury people beneath rubble, is one of the main causes of death worldwide. Natural disasters and ...