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Dr Ramanathan Malmathanraj

vidwan id: 54105
Male

Assistant Professor, Department of Electronics and Communication Engineering
National Institute of Technology Tiruchirappalli

Expertise

  • Electrical and Electronic Engineering

Publications

Total Articles 45
Books 0
Proceedings 0

Publications

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Scopus

Citations 265
h-index 9

CrossRef

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Citations 212
h-index 9
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Professional Recognition

2020

Best Paper award

IEEE International conference ICCMC , Surya Engineering College, Erode , India

Community & Membership

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IEEE

2024
Member

ISTE

2010
Life Member

Bio

Reinforcement learning, Medical Image processing, Deep Learning , Machine Learning.

Personal Details

  • Male
  • Assistant Professor , National Institute of Technology Tiruchirappalli
  • National Institute of Technology
PhD
Anna University 2011
Assistant Professor Jun 2007 – Present
National Institute of Technology Tiruchirappalli | Department of Electronics and Communication Engineering

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Organisations (347+)

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Co-Authors (4)

P

Prof P Palanisamy

National Institute of Technology Tiruchirappalli

G Thavasi

Dr G Thavasi Raja

National Institute of Technology Tiruchirappalli

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Dr Vikas R. Phate

Lecturer - Senior Scale

YOGESWARARAO

Dr YOGESWARARAO GURUBELLI

Aditya Institute of Technology & Management, Srikakulam

Scholarly Work

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Implementation of Computer Vision based System for Mass Modelling of Sweet Lime Fruits

University National Institute of Technology Tiruchirappalli
Year 2021

Improvements on 2DLDA and Deep Learning Approaches for Fruit Grading and Leaf Disease Recognition

University National Institute of Technology, Tiruchirappalli.
Year 2022

Chilli Leaf Disease Classification Using Deep Learning Techniques.

University National Institute of Technology, Trichy
Year 2024
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Scholarly Publications

Features of pyramid dilation rate with residual connected convolution neural network for pest classification

Open Access
Article
Authors: Vedhamuru N.;Malmathanraj R.;Palanisamy P.

Leaf Disease Classification of Various Crops Using Deep Learning Based DBESeriesNet Model

Open Access
Article

Empirical analysis of Squeeze and Excitation based Densely Connected CNN for Chilli leaf disease identification

Open Access
article
Authors: Naresh V.;Yogeswararao G.;Bhookya Nageswararao Naik.;Malmathanraj R and Palanisamy P

Empirical Analysis of Squeeze and Excitation-Based Densely Connected CNN for Chili Leaf Disease Identification

Open Access
Article
Authors: Naresh V.;Yogeswararao G.;Nageswararao Naik B.;Malmathanraj R.;Palanisamy P.

Features of pyramid dilation rate with residual connected convolutional neural network for pest classification

Open Access
article

Optimized Residual Parallel Separable Convolution Layers for Pest Classification

Open Access
article
Authors: Naresh V.;Malmathanraj R.;Palanisamy P; Yogeswararao G.

Parallel Dense Skip-Connected CNN Approach for Brain Tumor Classification

Open Access
Book Chapter
Authors: Yogeswararao G.;Naresh V.;Malmathanraj R.;Palanisamy P.;Balasubramanian K.

Refined single-stage object detection deep-learning technique for chilli leaf disease detection

Open Access
Article