Megha Kumari

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As the world becomes more and more complex and so does the health problems faced by the individuals living on this Earth. Many of the health problems are hard to identify and explain. This is especially true with adolescents who are not able to speak at their early age of life and are not able to express the pain felt. There are also conditions with certain(More)
In this study, we predicted Single Exon Genes (SEGs) distributed in whole rice genome and their expressed proteins. Complete genome of rice was retrieved from TIGR. CDS annotation in the FEATURE (GenBank format) was used to predict SEGs sequences. Organelle gene sequences, pseudogenes, tRNA genes, rRNA genes and duplicated genes were eliminated through(More)
The objective of this paper is to apply Support Vector Machine to the problem of classifying emotion on images of human faces. This well defined problem is complicated by the natural variation in people’s faces, requiring the classification algorithm to distinguish the small number of relevant features from the large pool of input features. Three different(More)
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