Expertise

  • Telecommunications

Publications

Total Articles 28
Books 0
Proceedings 0

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Scopus

Citations 86
h-index 4

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Citations 44
h-index 2
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Professional Recognition

2018

Jai Vupadyyaya Puraskar

Lions Club International: District 316D
2010

Best Paper Award for a Paper

Saveetha University Chennai

Community & Membership

2022

IPR Cell

Coordinator
2022

R&D Cell

Coordinator

IFERP

2022
PM48731520

International Association of Engineers (IAENG)

2011
109281

Bio

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Personal Details

  • Male
  • Amrita Sai Institute of Science and Technology
Ph.D
Other Institute 2019
Professor May 2019 – Apr 2023
Unknown Organization

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Co-Authors (7)

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Mr Maguluri Lakshmana Phaneendra

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A DIGITAL SIGNAL PROCESSING SYSTEM FOR AN ELECTRONIC GAMING DEVICE

Dr.Satish Kumar Maragani
Engineering and Technology Patent No. : 202241004368 Filed : 26-01-2022
Published : 04-02-2022 Published

A NOVEL SYSTEM BASED ON RANDOM SAMPLE CONSENSUS (RANSAC) FOR IRIS RECOGNITION IN NON-IDEAL IMAGING CONDITIONS

G.Anil
Engineering and Technology Patent No. : 202141023786. Filed : 28-05-2021
Published : 11-06-2021 Published

Scholarly Publications

On-Processing of Brain Tumor Detection Segmentation and Compression

Open Access
conference proceedings
Authors: RAMESH BABU VALLABHANENI

Particle Swarm Optimization for Image Enhancement

Open Access
editorial
Authors: RAMESH BABU VALLABHANENI

Brain tumour detection using mean shift clustering and GLCM features with edge adaptive total variation denoising technique

Open Access
Article

Semi-Supervised Based Segmentation for Brain Tumor Detection

Open Access
editorial
Authors: RAMESH BABU VALLABHANENI

Brain Tumor Detection Using Mean Shift Clustering And GLCM Feature With Edge Adaptive Total Variation Denoising Technique

Open Access
editorial

Performance analysis of total variant techniques for efficient segmentation of medical images

Open Access
Article

An Efficient Design of Binary Comparators in Quantum Dot Cellular Automata

Open Access
article
Authors: RAMESH BABU VALLABHANENI

Brain tumor detection using mean shift clustering and glcm features with edge adaptive total variation denoising technique

Open Access
Article