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The paper investigates the discrimination ability of the short-wave near-infrared spectroscopy for the classification of various edible oils used in India. Spectral characterization of mustard, olive, rice bran, sunflower and soybean oils are recorded by a portable near infrared (NIR) spectrometer in the range of 250–925 nm of wavelength. Due to high dimensionality problem, principal component analysis...
Edible oil is dominant part of human diet and available in various forms in the market. On the other hand, quality assurance in food industry is nowadays an important parameter for public concern and awareness. In this context, this paper presents a discrimination methodology of edible oils such as mustard, olive, rice bran, sunflower and soybean oils using a portable non-destructive near infrared...
The advancement of information technology has made public health management system more efficient on keeping an eye on major outbreaks like dengue fever than before. Vigorous prediction of dengue fever not only helps the management to act faster but also helps medical professionals to treat and suggest a good solution to the patients. In this context, this paper aims to develop an intelligent computing...
Health information technology is spreading all over the world to provide right medical advice for healthcare. In this context, this paper describes the application of data mining techniques to identify jaundice by analyzing liver function test reports. Artificial neural network and support vector machine classifiers are employed here for classification on the basis of liver condition. Since correct...
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