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Dr Rudra Kalyan Nayak

vidwan id: 343826
Male

Assistant Professor, School of Computing Science and Engineering
VIT Bhopal University, Sehore

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 28
Books 0
Proceedings 0

Publications

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Scopus

Citations 216
h-index 7

CrossRef

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Citations 191
h-index 6
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Professional Recognition

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Bio

My research area of interest includes Financial Engineering and Bioinformatics

Personal Details

  • Male
  • Assistant Professor , VIT Bhopal University, Sehore
  • VIT Bhopal University, Kothrikalan
PhD
Other Institute 2018
Assistant Professor Dec 2021 – Present
VIT Bhopal University, Sehore | School of Computing Science and Engineering

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Co-Authors (12)

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Scholarly Work

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Scholarly Publications

Cellular cholesterol prediction of mammalian ATP-binding cassette (ABC) proteins based on fuzzy c-means with support vector machine algorithms

Open Access
Article
Authors: Ramamani Tripathy ., Rudra Kalyan Nayak ., Priti Das ., Debahuti Mishra .,

A Novel Strategy for Prediction of Cellular Cholesterol Signature Motif from G Protein-Coupled Receptors based on Rough Set and FCM Algorithm

Open Access
Conference Paper
Authors: Rudra Kalyan Nayak ., Ramamani Tripathy ., V. Saravanan ., Siva Shankar S. ., Priti Das ., Dinesh Kumar Anguraj .,

Ontology based Recommendation System for Domain Specific Seekers

Open Access
Conference Paper
Authors: Selvaraj P.;Burugari V.K.;Sumathi D.;Nayak R.K.;Tripathy R.

An optimized SVM-k-NN currency exchange forecasting model for Indian currency market

Open Access
Article

A novel look Back N feature approach towards prediction of crude oil price

Open Access
Article

A computational approach for mining cholesterol and their potential target against GPCR seven helices based on spectral clustering and fuzzy c-means algorithms

Open Access
Article

A novel rough set based affinity propagation method for cholesterol prediction from ABC transporter

Open Access
Article

A Naïve SVM-KNN based stock market trend reversal analysis for Indian benchmark indices

Open Access
Article