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Dr Sushma S J

vidwan id: 421629
Female

Associate Professor, Department of Electronics and Communication Engineering
GSSS Institute of Engineering and Technology for Women

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 11
Books 0
Proceedings 0

Publications

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Scopus

Citations 81
h-index 4

CrossRef

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Citations 52
h-index 3
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Professional Recognition

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Bio

Image Processing, Data Visualization

Personal Details

  • Female
  • Associate Professor , GSSS Institute of Engineering and Technology for Women
  • Department of Electronics and Communication Engineering, GSSS Institute of Engineering and Technology for Women
PhD
Visvesvaraya Technological University, Belagavi 2021
Associate Professor Nov 2013 – Present
GSSS Institute of Engineering and Technology for Women | Department of Electronics and Communication Engineering

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Co-Authors (5)

Ram Bilas

Prof Ram Bilas Pachori

Indian Institute of Technology Indore

Srinivasan

Dr Srinivasan Padmashree

GSSS Institute of Engineering and Technology for Women

Prasanna Kumar

Dr Prasanna Kumar S C

R V College of Engineering, Bangalore

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Scholarly Work

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Scholarly Publications

Memristive Crossbar Array-Based Computing Framework via DWT for Biomedical Image Enhancement

Open Access
Article

Automatic diagnosis of COVID-19 with MCA-inspired TQWT-based classification of chest X-ray images

Open Access
Article
Authors: Jyoti K.;Sushma S.;Yadav S.;Kumar P.;Pachori R.B.;Mukherjee S.

Explainable Heart Disease Diagnosis with Supervised Learning Methods

Open Access
Article

A cost-sensitive logistic regression model for breast cancer detection

Open Access
Article

An improved feature selection approach for chronic heart disease detection

Open Access
Article
Authors: S. J. Sushma ., Tsehay Admassu Assegie ., D. C. Vinutha ., S. Padmashree .,

Correlation Analysis for Determining Effective Data in Machine Learning: Detection of Heart Failure

Open Access
Article
Authors: Tsehay Admassu Assegie ., S. J. Sushma ., B. G. Bhavya ., S. Padmashree .,

A novel approach to jointly address localization and classification of breast cancer using bio-inspired approach

Open Access
Article

Multi-stage optimization over extracted feature for detection and classification of breast cancer

Open Access
Conference Paper