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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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Community & Membership

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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)

Abhisek

Mr Abhisek Sethy

Koneru Lakshmaiah Education Foundation, Guntur

Amiya Kumar

Prof Amiya Kumar Rath

Veer Surendra Sai University of Technology

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Mr Ranganath Kanakam

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BVRIT Hyderabad College of Engineering for Women

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Scholarly Work

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Scholarly Publications

Topological localization approach for efficient energy management of WSN

Open Access
Article

Correction to: Topological localization approach for efficient energy management of WSN (Evolutionary Intelligence, (2024), 17, 2, (717-727), 10.1007/s12065-021-00611-z)

Open Access
Erratum

Comparative Analysis of Process Mining Algorithms in Industrial Applications

Open Access
Book Chapter
Authors: M. Shanmuga Sundari ., Rudra Kalyan Nayak .,

Deviation and Cluster Analysis Using Inductive Alpha Miner in Process Mining

Open Access
Conference Paper
Authors: M. Shanmuga Sundari ., Rudra Kalyan Nayak .,

Cloud Storage Performance Improvement Using Deduplication and Compression Techniques

Open Access
Conference Paper
Authors: P M Ashok Kumar ., E. Pugazhendhi ., Rudra Kalyan Nayak .,

Membrane Cholesterol Prediction from Human Receptor using Rough Set based Mean-Shift Approach

Open Access
Article
Authors: Nayak R.K.;Tripathy R.;Mohapatra H.;Rath A.K.;Mishra D.

Prediction of Plasma Membrane Cholesterol from 7-Transmembrane Receptor Using Hybrid Machine Learning Algorithm

Open Access
Article

A Comprehensive Survey on MRI Images Classification for Brain Tumor Identification using Deep Learning Techniques

Open Access
Conference Paper
Authors: Pranitha K.;Vurukonda N.;Nayak R.K.