R. Harikumar

发表

Performance analysis and detection of micro calcification in digital mammograms using wavelet features

C. Abirami, R. Harikumar, S. R. Sannasi Chakravarthy, 2016, 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET).

A Study On Test Pattern Generation Using Arithmetic Approach For Iscas 85 Benchmark Circuits

R. Harikumar, J. Poornimasre, P. Saravanakumar, 2020 .

Ad hoc node connectivity improvement analysis - Why not through mesh clients?

R. Harikumar, Jennifer S. Raj, 2014, Comput. Electr. Eng..

A Decentralised Approach for Load Management in an Islanded Distribution Network During Contingency

R. Harikumar, P. T. Seenath Beevi, 2018 .

Conventional neural network for blind image blur correction using latent semantics

R. Harikumar, S. Gowthami, 2020, Soft Comput..

A Comparison of Elman and Radial Basis Function (RBF) Neural Networks in Optimization of Fuzzy outputs for Epilepsy Risk Levels Classification from EEG Signals

R. Harikumar, T. Vijayakumar, 2013 .

Performance evaluation of a fuzzy processor

N. B. Balamurugan, R. Harikumar, M. Jothi, 2013, 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT).

Design, cost estimation and simulation of a standalone PV power generation system using interleaved converter

R. Harikumar, P. Manimekalai, 2012, 2012 International Conference on Emerging Trends in Science, Engineering and Technology (INCOSET).

Performance analysis of KNN classifier and K-means clustering for robust classification of epilepsy from EEG signals

R. Harikumar, M. Manjusha, R. Harikumar, 2016, 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET).

An Efficient System for Palm Print Recognition Using Ridges

R. Harikumar, G. Karthick, Allen George, 2014, 2014 International Conference on Intelligent Computing Applications.

Comprehensive Analysis of Hierarchical Aggregation Functions Decision Trees, SVD, K-means Clustering, PCA and Rule Based AI Optimization in the Classification of Fuzzy based Epilepsy Risk Levels from EEG Signals

R. Harikumar, T. Vijayakumar, 2013 .

Performance analysis of fuzzy techniques hierarchical aggregation functions decision trees and Support Vector Machine (SVM)for the classification of epilepsy risk levels from EEG signals

R. Harikumar, T. Vijaykumar, C. Palanisamy, 2011, 2011 IEEE Recent Advances in Intelligent Computational Systems.

Analysis of PSO and Hybrid PSO in Calculation of Epileptic Risk Level in EEG

R. Harikumar, T. Vijayakumar, R. Kasthuri, 2013 .

Fuzzy techniques and hierarchical aggregation functions decision trees for the classification of epilepsy risk levels from EEG signals

R. Sukanesh, R. Harikumar, 2008, TENCON 2008 - 2008 IEEE Region 10 Conference.

Comparative performance analysis of Naive Bayes and SVM classifier for oral X-ray images

G. Karthick, R. Harikumar, R. Harikumar, 2017, 2017 4th International Conference on Electronics and Communication Systems (ICECS).

Lyapunov-Based Impact Time Control Guidance Law Against Maneuvering Target

R. Harikumar, N. V. Sreenath, 2016 .

Swarm Intelligence Based Feature Clustering for Continuous Speech Recognition Under Noisy Environments

R. S. Valarmathi, R. Harikumar, M. Kalamani, 2019 .

Modified Grey Wolf Randomized Optimization in Dementia Classification Using MRI Images

R. Harikumar, N. Bharanidharan, 2020 .

VLSI Synthesis of Heterogeneous and SIRM Fuzzy System for Classification of Diabetic Epilepsy Risk Levels

R. Harikumar, A. Shanmugam, P. Rajan, 2008, 2008 Cairo International Biomedical Engineering Conference.

Performance analysis of SVD and Support Vector Machines for optimization of fuzzy outputs in classification of epilepsy risk level from EEG signals

R. Harikumar, T. Vijayakumar, M.G. Sreejith, 2011, 2011 IEEE Recent Advances in Intelligent Computational Systems.

Genetic algorithm optimization of fuzzy outputs for classification of epilepsy risk levels from EEG signals

R. Sukanesh, R. Harikumar, R. Sukanesh, 2004 .

Electrical Impedance Tomography (EIT) and Its Medical Applications: A Review

R. Harikumar, S. Raghavan, R. Prabu, 2013 .

Frequency Behaviours of Electroencephalography Signals in Epileptic Patients from a Wavelet Thresholding Perspective

P. Sunil Kumar, R. Harikumar, 2015 .

Performance analysis of SVD and K-means clustering for optimization of fuzzy outputs in classification of epilepsy risk level from EEG signals

R. Harikumar, M. G. Sreejith, T. Vijayakumar, 2012, 2012 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.