N. C. Chauhan
A. D. Patel Institute of Technology
47 Papers
207 Citations
N. C. Chauhan is an academic researcher from A. D. Patel Institute of Technology. The author has contributed to research in topics: Particle swarm optimization & Computer science. The author has an hindex of 9, co-authored 47 publications. Previous affiliations of N. C. Chauhan include Indian Institutes of Technology & Gujarat Technological University.
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Papers
K-means v/s K-medoids: A Comparative Study
Shalini S Singh,N. C. Chauhan +1 more
- 01 Jan 2011
TL;DR: Two well known partitioning based methods - k-means and k- medoids - are compared and the behavior of these two methods is explored.
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Interesting association rule mining with consistent and inconsistent rule detection from big sales data in distributed environment
TL;DR: This paper presents a novel approach to identify consistent and inconsistent association rules from sales data located in distributed environment and overcomes the main memory bottleneck and computing time overhead of single computing system by applying computations to multi node cluster.
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Design and Optimization of Nonlinear Tapers using Particle Swarm Optimization
TL;DR: In this article, the design and optimization of a nonlinear diameter taper, connecting the output section of a gyrotron cavity to the uniform output waveguide section, is presented.
An Automated Approach for Segmentation of Brain MR Images using Gaussian Mixture Model based Hidden Markov Random Field with Expectation Maximization
Saurabh Shah,N. C. Chauhan +1 more
TL;DR: A novel hybrid method using Gaussian Mixture Model based Hidden Markov Random Field with Expectation Maximization with EM has been proposed which segments tissues from MR brain images efficiently and helps to separate out tumour area easily.
Smart Dashboard: A Novel Approach for Sustainable Development of Smart Cities using Fog Computing
Minal Patel,N. C. Chauhan +1 more
- 12 Jun 2019
TL;DR: A framework of virtualized software defined fog computing that accepts IoT data of various utilities and plots the analytic on smart dashboard to be used for smart cities is proposed.
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