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Indumathi V

vidwan id: 393386
Female

Teaching Associate, Department of Computational Intelligence - KTR
S R M Institute of Science & Technology, Chennai

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 11
Books 0
Proceedings 0

Publications

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Scopus

Citations 47
h-index 4

CrossRef

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Citations 30
h-index 4
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Bio

Skilled in Analytical Skills, Data Analysis, Deep Learning and Machine learning, Amazon Web Services (AWS), R, and Tableau.

Personal Details

  • Female
  • Teaching Associate , S R M Institute of Science & Technology, Chennai
  • VIVEKANANDA NAGAR, KOLATHUR,CH -99
M .TECH
Other Institute 2009
B. E
Anna University 2006
Teaching Associate Mar 2023 – Present
S R M Institute of Science & Technology, Chennai | Department of Computational Intelligence - KTR

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Co-Authors (7)

Amuthadevi

Dr Amuthadevi C

S R M Institute of Science & Technology, Chennai

Geetha

Dr Geetha K

S R M Institute of Science & Technology, Chennai

Sethukarasi T

Dr Sethukarasi T

R.M.K Engineering College

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Dr Manickam M

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Dr Siva R

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Umamaheshwari R

Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science & Technology, Chennai

Scholarly Work

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Scholarly Publications

Improving Early Detection of Lung Disorders: A Multi-head Self-Attention CNN-BiLSTM Model

Open Access
Article

L-BFGS Optimization in GANs for Enhanced Pulmonary Disease Prediction from X-ray Images

Open Access
Conference Paper
Authors: Indumathi V ., Siva R .,

Threat matrix: Stepping into the future of cybersecurity training with augmented reality

Open Access
Book Chapter
Authors: Prabakeran S. ., Sethukarasi T. ., Indumathi V. .,

ABOA-CNN: auction-based optimization algorithm with convolutional neural network for pulmonary disease prediction

Open Access
Article

An efficient lung disease classification from X-ray images using hybrid Mask-RCNN and BiDLSTM

Open Access
Article

Pulmonary disease diagnosis using African vulture optimized weighted support vector machine approach

Open Access
Article

A comparative analysis on sensor-based human activity recognition using various deep learning techniques

Open Access
Article

In-depth survey to perceiving the effect of kidney dialysis parameters using clustering framework

Open Access
Article