フォロー
Hariharan Muthusamy
Hariharan Muthusamy
Department of Electronics Engineering, National Institute of Technology, Uttarakhand
確認したメール アドレス: nituk.ac.in - ホームページ
タイトル
引用先
引用先
A new hybrid intelligent system for accurate detection of Parkinson's disease
M Hariharan, K Polat, R Sindhu
Computer methods and programs in biomedicine 113 (3), 904-913, 2014
2412014
Classification of speech dysfluencies with MFCC and LPCC features
O Chia Ai, M Hariharan, S Yaacob, L Sin Chee
Expert Systems with Applications: An International Journal 39 (2), 2157-2165, 2012
1902012
Sine–cosine algorithm for feature selection with elitism strategy and new updating mechanism
R Sindhu, R Ngadiran, YM Yacob, NAH Zahri, M Hariharan
Neural Computing and Applications 28 (10), 2947-2958, 2017
1412017
A new hybrid PSO assisted biogeography-based optimization for emotion and stress recognition from speech signal
CK Yogesh, M Hariharan, R Ngadiran, AH Adom, S Yaacob, C Berkai, ...
Expert Systems with Applications 69, 149-158, 2017
1242017
Facial emotion recognition using empirical mode decomposition
H Ali, M Hariharan, S Yaacob, AH Adom
Expert Systems with Applications 42 (3), 1261 - 1277, 2015
1022015
Non-invasive prediction of hemoglobin level using machine learning techniques with the PPG signal's characteristics features
AR Kavsaoğlu, K Polat, M Hariharan
Applied Soft Computing 37, 983-991, 2015
972015
Technologies for Assessment of Motor Disorders in Parkinson’s Disease: A Review
MSCHL Qi Wei Oung , Hariharan Muthusamy, Hoi Leong Lee, Shafriza Nisha Basah ...
Sensors 15, 21710-21745, 2015
972015
Empirical Wavelet Transform Based Features for Classification of Parkinson’s Disease Severity
QW Oung, H Muthusamy, SN Basah, H Lee, V Vijean
Journal of Medical Systems 42 (2), 29, 2018
882018
Pathological infant cry analysis using wavelet packet transform and probabilistic neural network
M Hariharan, S Yaacob, SA Awang
Expert Systems with Applications 38 (12), 15377-15382, 2011
852011
MFCC based recognition of repetitions and prolongations in stuttered speech using k-NN and LDA
LS Chee, OC Ai, M Hariharan, S Yaacob
2009 IEEE Student Conference on Research and Development (SCOReD), 146-149, 2009
842009
Improved Binary Dragonfly Optimization Algorithm and Wavelet Packet Based Non-linear Features for Infant Cry Classification
M Hariharan, R Sindhu, V Vijean, H Yazid, T Nadarajaw, K Polat, ...
Computer Methods and Programs in Biomedicine 155, 39-51, 2018
822018
Normal and hypoacoustic infant cry signal classification using time-frequency analysis and general regression neural network
M Hariharan, R Sindhu, S Yaacob
Computer Methods and Programs in Biomedicine 108 (2), 559-569, 2012
762012
Classification of Speech Dysfluencies Using LPC Based Parameterization Techniques
M Hariharan, LS Chee, OC Ai, S Yaacob
Journal of Medical Systems 36 (3), 1821-1830, 2012
722012
Automatic classification of infant cry: A review
J Saraswathy, M Hariharan, S Yaacob, W Khairunizam
2012 International Conference on Biomedical Engineering (ICoBE), 543-548, 2012
612012
Analysis of Infant Cry Through Weighted Linear Prediction Cepstral Coefficients and Probabilistic Neural Network
M Hariharan, LS Chee, S Yaacob
Journal of Medical Systems 36 (3), 1309-1315, 2012
612012
Improved emotion recognition using gaussian mixture model and extreme learning machine in speech and glottal signals
H Muthusamy, K Polat, S Yaacob
Mathematical Problems in Engineering 2015, 2015
592015
Improved emotion recognition using gaussian mixture model and extreme learning machine in speech and glottal signals
H Muthusamy, K Polat, S Yaacob
Mathematical Problems in Engineering 2015, 2015
592015
Hybrid BBO_PSO and higher order spectral features for emotion and stress recognition from natural speech
CK Yogesh, M Hariharan, R Ngadiran, AH Adom, S Yaacob, K Polat
Applied Soft Computing 56, 217-232, 2017
552017
Automatic detection of prolongations and repetitions using LPCC
LS Chee, OC Ai, M Hariharan, S Yaacob
2009 international conference for technical postgraduates (TECHPOS), 1-4, 2009
542009
A comparative study of wavelet families for classification of wrist motions
SY M. Hariharan, C.Y. Fook, R. Sindhu, Bukhari Ilias
Computers and Electrical Engineering, 2012
522012
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