Pallikonda Rajasekaran Murugan
Pallikonda Rajasekaran Murugan
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An IoT based patient monitoring system using raspberry Pi
R Kumar, MP Rajasekaran
2016 International Conference on Computing Technologies and Intelligent Data …, 2016
An unsupervised learning method with a clustering approach for tumor identification and tissue segmentation in magnetic resonance brain images
G Vishnuvarthanan, MP Rajasekaran, P Subbaraj, A Vishnuvarthanan
Applied Soft Computing 38, 190-212, 2016
EEG signal classification using Principal Component Analysis with Neural Network in Brain Computer Interface applications
R Kottaimalai, MP Rajasekaran, V Selvam, B Kannapiran
2013 International Conference on Emerging Trends in Computing …, 2013
Comparison of image compression techniques using huffman coding, DWT and fractal algorithm
RP Jasmi, B Perumal, MP Rajasekaran
2015 International Conference on Computer Communication and Informatics …, 2015
EEG signal classification using principal component analysis and wavelet transform with neural network
SS Lekshmi, V Selvam, MP Rajasekaran
2014 International Conference on Communication and Signal Processing, 687-690, 2014
Elderly patient monitoring system using a wireless sensor network
MP Rajasekaran, S Radhakrishnan, P Subbaraj
Telemedicine and e-Health 15 (1), 73-79, 2009
An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images
A Vishnuvarthanan, MP Rajasekaran, V Govindaraj, Y Zhang, ...
Applied Soft Computing 57, 399-426, 2017
Sensor grid applications in patient monitoring
MP Rajasekaran, S Radhakrishnan, P Subbaraj
Future Generation Computer Systems 26 (4), 569-575, 2010
VLSI implementation of image compression using TSA optimized discrete wavelet transform techniques
P Nagaraj, MP Rajasekaran, V Muneeswaran, KM Sudar, K Gokul
2020 Third International Conference on Smart Systems and Inventive …, 2020
Indigenous health tracking analyzer using IoT
V Muneeswaran, MP Nagaraj, MP Rajasekaran, NS Chaithanya, ...
2021 6th International Conference on Communication and Electronics Systems …, 2021
Brain computer interface for neurodegenerative person using electroencephalogram
L Junwei, S Ramkumar, G Emayavaramban, M Thilagaraj, ...
IEEE Access 7, 2439-2452, 2018
Performance evaluation of radial basis function networks based on tree seed algorithm
V Muneeswaran, MP Rajasekaran
2016 international conference on circuit, power and computing technologies …, 2016
Multi-channeled MR brain image segmentation: A novel double optimization approach combined with clustering technique for tumor identification and tissue segmentation
A Narayanan, MP Rajasekaran, Y Zhang, V Govindaraj, A Thiyagarajan
Biocybernetics and Biomedical Engineering 39 (2), 350-381, 2019
Beltrami-regularized denoising filter based on tree seed optimization algorithm: an ultrasound image application
V Muneeswaran, M Pallikonda Rajasekaran
Information and Communication Technology for Intelligent Systems (ICTIS 2017 …, 2018
A complete automated algorithm for segmentation of tissues and identification of tumor region in T1, T2, and FLAIR brain images using optimization and clustering techniques
V Govindaraj, PR Murugan
International journal of imaging systems and technology 24 (4), 313-325, 2014
Smart identification of topographically variant anomalies in brain magnetic resonance imaging using a fish school-based fuzzy clustering approach
S Alagarsamy, YD Zhang, V Govindaraj, MP Rajasekaran, S Sankaran
IEEE Transactions on Fuzzy Systems 29 (10), 3165-3177, 2020
Local contrast regularized contrast limited adaptive histogram equalization using tree seed algorithm—an aid for mammogram images enhancement
V Muneeswaran, M Pallikonda Rajasekaran
Smart Intelligent Computing and Applications: Proceedings of the Second …, 2019
Automatic detection and classification of knee osteoarthritis using deep learning approach
SS Abdullah, MP Rajasekaran
La radiologia medica 127 (4), 398-406, 2022
Tsallis entropy: as a new single feature with the least computation time for classification of epileptic seizures
M Thilagaraj, M Pallikonda Rajasekaran, N Arun Kumar
Cluster Computing 22, 15213-15221, 2019
Offline analysis for designing electrooculogram based human computer interface control for paralyzed patients
G Jialu, S Ramkumar, G Emayavaramban, M Thilagaraj, V Muneeswaran, ...
IEEE Access 6, 79151-79161, 2018
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