T. Arunprasath

Extraction of Lesion and Tumor Region in Multi-modal Images Using Novel Self-organizing Map-Based Enhanced Fuzzy C-Means Clustering Algorithm

M. Pallikonda Rajasekaran, S. Vigneshwaran, G. Vishnuvarthanan, 2019 .

Performance Evaluation of PET Image Reconstruction Using Radial Basis Function Networks

M. Pallikonda Rajasekaran, T. Arunprasath, S. Kannan, 2015 .

Image renovation in Positron Emission Tomography using recursive algorithm

M. Pallikonda Rajasekaran, T. Arunprasath, S. Kannan, 2012, 2012 IEEE International Conference on Computational Intelligence and Computing Research.

Thresholding Based Soil Feature Extraction from Digital Image Samples – A Vision Towards Smarter Agrology

M. Pallikonda Rajasekaran, G. Vishnuvarthanan, T. Arunprasath, 2017 .

Reconstruction of PET Brain image using Conjugate Gradient algorithm

T. Arunprasath, S. Kannan, M. P. Rajasekaran, 2012, 2012 World Congress on Information and Communication Technologies.

Energy demand classification by probabilistic neural network for medical diagnosis applications

C. Shilaja, T. Arunprasath, T. Arunprasath, 2019, Neural Computing and Applications.

Analysis of fuzzy segmented based reconstructed PET liver image using MLEM algorithm

M. Pallikonda Rajasekaran, T. Arunprasath, S. Kannan, 2013, 2013 IEEE CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES.

MR Brain image segmentation for the volumetric measurement of tissues to differentiate Alzheimer’s disease using hybrid algorithm

M. Pallikonda Rajasekaran, T. Arunprasath, P. Rajesh kumar, 2019, 2019 IEEE International Conference on Clean Energy and Energy Efficient Electronics Circuit for Sustainable Development (INCCES).

Day-ahead optimal scheduling of microgrid with adaptive grasshopper optimization algorithm

C. Shilaja, T. Arunprasath, P Priya, 2022, Int. J. Commun. Syst..