Ankit Bansal

TL;DR: The main objective of this article is to review the chemometric methods used in analytical chemistry to determine the elution sequence, classify various data sets, assess peak purity and estimate the number of chemical components.

TL;DR: Comprehensive methods and hyphenated techniques associated with chemometrics used for extracting useful information and supplying various methods of data processing are now more and more widely used in medicinal plants, among whichChemometrics resolution methods and principal component analysis (PCA) are most commonly used techniques.

TL;DR: The review discloses the incredible view of using the neural networks in solar forecast and summarizes the major applications of eight well recognized and often used neural network models of which the last two are custom based.

TL;DR: In this article, an efficient scheme for databasing emission and absorption coefficients is developed to model radiation from hypersonic nonequilibrium flows, where the spectral information including the line-center wavelength and emission coefficients are stored for typical air plasma species.

TL;DR: A computational model of human brain tumor is developed that incorporates dynamic contrast enhanced-magnetic resonance imaging (DCE-MRI) data into a voxelized porous media model that takes into account realistic transport and perfusion kinetics parameters together with realistic heterogeneous tumor vasculature and accurate arterial input function (AIF), which makes it patient specific.