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Dr Ganesh C

vidwan id: 357249
Male

Assistant Professor, Department of Electronics and Communication Engineering
Sri Eshwar College of Engineering

Expertise

  • Computer Science Information Systems

Publications

Total Articles 18
Books 0
Proceedings 0

Publications

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Scopus

Citations 73
h-index 6

CrossRef

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Citations 118
h-index 8
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Professional Recognition

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ISTE

2023
Permanent

Bio

Natural Language Processing

Personal Details

  • Male
  • Assistant Professor , Sri Eshwar College of Engineering
  • Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering
PhD
Karunya Institute of Technology and Sciences, Coimbatore 2022
Assistant Professor Sep 2021 – Present
Sri Eshwar College of Engineering | Department of Electronics and Communication Engineering

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Scholarly Work

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Scholarly Publications

Application of Multi-Domain Feature for Automated Seizure Detection from EEG Signal

Open Access
conference-paper
Authors: Ashokkumar, S.R.;Premkumar, M.;Dhilipkumar, P.;Manikandan, P.;Naveen, P.;Saravanan, M.

Security behavior analysis in web of things smart environments using deep belief networks

Open Access
journal-article
Authors: Premkumar, M.;Ashokkumar, S.R.;Mohanbabu, G.;Jeevanantham, V.;Jayakumar, S.

Emotion identification by dynamic entropy and ensemble learning from electroencephalogram signals

Open Access
journal-article
Authors: Ashokkumar, S.R.;Anupallavi, S.;MohanBabu, G.;Premkumar, M.;Jeevanantham, V.

An optimized deep learning network model for EEG based seizure classification using synchronization and functional connectivity measures

Open Access
Retracted

Design of an EEG-based transceiver with data decomposition for IoHT applications

Open Access
conference-paper
Authors: Ashokkumar, S.R.;Premkumar, M.;Selvapandian, A.;Jeevanantham, V.;Anupallavi, S.

Design of cost-effective real time tremor alerting system for patients of neurodegenerative diseases

Open Access
Article
Authors: Premkumar M.;Ashokkumar S.R.;Jeevanantham V.;Anu Pallavi S.;Mohanbabu G.;Sathesh Raaj R.
8 9

Implementation of deep neural networks for classifying electroencephalogram signal using fractional S‐transform for epileptic seizure detection

Open Access
journal-article

Extreme learning adaptive neuro-fuzzy inference system model for classifying the epilepsy using Q-Tuned wavelet transform

Open Access
Article