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Due to constraints on power and cost, robots operating in unstructured environments have limits on onboard computation and limited data on the objects they encounter. Arduino and MATLAB image processing proposes a thin-client model where robot is connected to computing infrastructure for access to computing resources and datasets. The work presents system architecture and a prototype on Robotics system...
More and more E-commerce Websites provide products with different prices which made it hard for consumers to find the products and services they want. In order to overcome this data overload, personalized recommendation engines are used to suggest products and to provide consumers with relevant data to help them decide which products to purchase. Recommendation engines are highly computational and...
The extraction and identification of gene groups with similar expression pattern, plays an important role in the analysis of genes. Clustering and biclustering methods are the primary techniques involved in analyzing gene expresion data which include grouping of genes, classification of genes and classification of a sample. Apart from classical clustering methods, biclustering is being preferred to...
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