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Dr Arjun N

vidwan id: 590967
Male

Assistant Professor,
VIGNANA BHARATHI INSTITUTE OF TECHNOLOGY

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 9
Books 0
Proceedings 0

Publications

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Scopus

Citations 23
h-index 3

CrossRef

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Citations 2
h-index 1
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Professional Recognition

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Community & Membership

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IEEE

2022
Member

Bio

Data structures, Theory of computation, Machine learning, Software Engineering, Tableau, Power BI, ReactJS,Image Processing, Artificial Intelligence

Personal Details

  • Male
  • Assistant Professor , VIGNANA BHARATHI INSTITUTE OF TECHNOLOGY
  • Nagole, Hyderabad, Telangana, India
Ph.D
JNTUH College of Engineering Hyderabad 2022
M.Tech
Other Institute 2014
B. Tech
Scient Institute of Technology 2011
Assistant Professor Jan 2020 – Present
VIGNANA BHARATHI INSTITUTE OF TECHNOLOGY

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Organisation (1)

Arjun

Dr Arjun N

Assistant Professor

Co-Authors (4)

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Scholarly Work

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Scholarly Publications

Machine Learning Techniques for Predicting Usage of Crack Cocaine Drug

Open Access
Conference Paper
Authors: Seluguri N.;Sree S.G.;Saturi R.;Rao M.V.;Reddy V.S.;Arjun N.

Puzzle CAViaR Optimization based deep learning for intrusion detection in IoT

Open Access
Conference Paper
Authors: Perumalla S.;Nelikanti A.;Rekha K.B.

Regression and Classification of Alzheimer’s Disease Diagnosis Using NMF-TDNet Features From 3D Brain MR Image

Open Access
Article

Hybrid Approach for Alzheimer's Disease Diagnosis For 3D Brain MR Image

Open Access
Article

Object Tracking Using Moderate Derivative Gain Kalman Filter

Open Access
Book Chapter
Authors: Nelikanti A.;Venkata Rami Reddy G.;Karuna G.

An optimization based deep lstm predictive analysis for decision making in cricket

Open Access
Book Chapter
Authors: Nelikanti A.;Venkata Rami Reddy G.;Karuna G.

A Scalable Algorithm for Readers-Writers Problem

Open Access
Conference Paper
Authors: Sreejith S.;Arjun N.;Sudarshan K.;Yadav M.;Sajeev G.P.

Moving object detection and tracking under different occlusion conditions in video sequences

Open Access
Article