Mythili Thirugnanam
Mythili Thirugnanam
Verified email at
Cited by
Cited by
Improving the prediction rate of diabetes diagnosis using fuzzy, neural network, case based (FNC) approach
M Thirugnanam, P Kumar, SV Srivatsan, CR Nerlesh
Procedia engineering 38, 1709-1718, 2012
Review of security challenges in healthcare internet of things
R Somasundaram, M Thirugnanam
Wireless Networks 27 (8), 5503-5509, 2021
Quality metrics tool for object oriented programming
M Thirugnanam, JN Swathi
International Journal of computer theory and engineering 2 (5), 712, 2010
A novel approach for analyzing human emotions based on electroencephalography (EEG)
P Lahane, M Thirugnanam
2017 Innovations in Power and Advanced Computing Technologies (i-PACT), 1-6, 2017
Diagnosis of diabetes mellitus based on risk factors
M Sumathy, P Kumar, TM Jishnujit, KR Kumar
International Journal of Computers and Applications 10 (4), 1-4, 2010
An ontology based system for predicting disease using SWRL rules
M Thirugnanam, T Thirugnanam, R Mangayarkarasi
International Journal of Computer Science and Business Informatics 7 (1), 2013
Automatic Defect Detection and Counting In Radiographic Weldment Images
SK Thiruganam, Mythili, S. Margret Anouncia
International Journal of Computer Applications, 2010
Ontology based disease information system
M Thirugnanam, M Ramaiah, V Pattabiraman, R Sivakumar
Procedia engineering 38, 3235-3241, 2012
Human emotion detection and stress analysis using EEG signal
P Lahane, M Thirugnanam
International Journal of Innovative Technology and Exploring Engineering …, 2019
Quality measurements of fruits and vegetables using sensor network
A Bandal, M Thirugnanam
Proceedings of the 3rd International Symposium on Big Data and Cloud …, 2016
Cardiomyopathy-induced arrhythmia classification and pre-fall alert generation using Convolutional Neural Network and Long Short-Term Memory model
M Thirugnanam, MS Pasupuleti
Evolutionary Intelligence 14 (2), 789-799, 2021
Review on communication security issues in IoT medical devices
R Somasundaram, M Thirugnanam
Internet of things (IoT), 189-210, 2017
Literature review of human stress analysis using EEG signal
M Lahane, P.S., Thirugnanam
Research Journal of Pharmaceutical, Biological and Chemical Sciences 7 (5 …, 2016
Hybrid tool for diagnosis of diabetes
M Thirugnanam, T Thirugnanam, S Sumathy, P Swarnalatha
IIOAB JOURNAL 7 (5), 74-84, 2016
IoT in Healthcare: Breaching Security Issues
R Somasundaram, M Thirugnanam
Securing the Internet of Things: Concepts, Methodologies, Tools, and …, 2020
A novel RGB based steganography using prime component alteration technique
A Sathyan, M Thirugnanam, S Hazra
IIOAB Journal 7 (5), 58-73, 2016
Review of Effort Distribution in IT Companies
R Mukherjee, T Gupta, M Thirugnanam
Addressing identity and location privacy of things for indoor—Case study on Internet of Everything’s (IoE)
A Nadargi, M Thirugnanam
Proceedings of the 3rd International Symposium on Big Data and Cloud …, 2016
An integrated approach for feature extraction and defect detection in industrial radiographic images–case study on welding defects
M Thirugnanam, SM Anouncia
International Journal of Industrial and Systems Engineering 17 (4), 424-448, 2014
An Automated Framework for Prediction of Falls in Cardiomyopathy People
P Megana Santhoshi, M Thirugnanam
ICTMI 2017, 1-15, 2019
The system can't perform the operation now. Try again later.
Articles 1–20