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Dr Thiruselvan Subramanian

vidwan id: 377420
Male

Assistant Professor, Department of Computer Science Engineering
Gandhi Institute of Technology and Management

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 26
Books 0
Proceedings 0

Publications

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Scopus

Citations 25
h-index 2

CrossRef

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Citations 28
h-index 3
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Bio

Computer Science

Personal Details

  • Male
  • Assistant Professor , Gandhi Institute of Technology and Management
  • GITAM School of Technology
Ph.D
Other Institute 2017
MCA
Other Institute 2010
B.Sc
Bharathidasan University 2007
Assistant Professor May 2023 – Present
Gandhi Institute of Technology and Management | Department of Computer Science Engineering
Assistant Professor - Selection Grade Jul 2019 – Apr 2023
Presidency University , Bengaluru
Assistant Professor Mar 2017 – Apr 2019
Vignan's Foundation of Science, Technology & Research, Guntur

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Professor

Co-Authors (3)

S

Prof S Nickolas

National Institute of Technology Tiruchirappalli

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Scholarly Work

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Scholarly Publications

Evolution of Deep Quantum Learning Models Based on Comprehensive Survey on Effective Malware Identification and Analysis

Open Access
journal-article
Authors:

Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network

Open Access
book
Authors:

A Keen Study on Quantum Information Systems

Open Access
book-chapter
Authors:

Systematic Literature Review on Industry Revolution 4.0 to Enhance Supply Chain Operation Performance

Open Access
Conference Paper
Authors: Sasi A.;Subramanian T.;Kumar Ravichandran S.

Comparative analysis of ARIMA and double exponential smoothing for forecasting rice sales in fair price shop

Open Access
journal-article

A Brief Study on Quantum Walks and Quantum Mechanics

Open Access
book-chapter
Authors:

Application based brokering algorithm for optimal resource provisioning in multiple heterogeneous clouds

Open Access
article
Authors: Subramanian, Thiruselvan and Savarimuthu, Nickolas

Cloud service evaluation and selection using fuzzy hybrid MCDM approach in marketplace

Open Access
Review