Ankita Sinha

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Clustering a large volume of data in a distributed environment is a challenging issue. Data stored across multiple machines are huge in size, and solution space is large. Genetic algorithm deals effectively with larger solution space and provides better solution. In this paper, we proposed a novel clustering algorithm for distributed datasets, using(More)
Data generation has seen tremendous growth in the past decade. Managing such huge amount of data is a big challenge. Clustering can serve as a solution, it divides the data into smaller groups based on the level of similarity among the objects. K-Means is one of the most popular and robust clustering algorithm. However, the major drawback of K-Means is to(More)
A novel polyaniline-graphene oxide nanocomposite (PANI/GO/GCE) sensor has been fabricated for quantification of a calcium channel blocker drug levamlodipine (LAMP). Fabricated sensor has been characterized by electrochemical impedance spectroscopy, square wave and cyclic voltammetry, Raman spectroscopy and Fourier transform infrared (FTIR) spectroscopy. The(More)
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