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2020 – today
- 2023
[j10]R. Sindhu, Nazek Alessa
, S. Eswaramoorthi, Karuppusamy Loganathan:
Comparative Analysis of Darcy-Forchheimer Radiative Flow of a Water-Based Al2O3-Ag/TiO2 Hybrid Nanofluid over a Riga Plate with Heat Sink/Source. Symmetry 15(1): 199 (2023)
2010 – 2019
- 2018
- [j9]M. Hariharan, R. Sindhu, Vikneswaran Vijean, Haniza Yazid, Thiyagar Nadarajaw, Sazali Yaacob, Kemal Polat:
Improved binary dragonfly optimization algorithm and wavelet packet based non-linear features for infant cry classification. Comput. Methods Programs Biomed. 155: 39-51 (2018) - 2014
- [j8]M. Hariharan, Vikneswaran Vijean, R. Sindhu, P. Divakar, A. Saidatul, Sazali Yaacob:
Classification of mental tasks using stockwell transform. Comput. Electr. Eng. 40(5): 1741-1749 (2014) - [j7]M. Hariharan, Kemal Polat, R. Sindhu:
A new hybrid intelligent system for accurate detection of Parkinson's disease. Comput. Methods Programs Biomed. 113(3): 904-913 (2014) - [j6]R. Sindhu, Siew Chin Neoh, M. Hariharan:
A hybrid expert system for automatic detection of voice disorders. Int. J. Medical Eng. Informatics 6(3): 218-237 (2014) - 2013
- [j5]M. Hariharan, Kemal Polat, R. Sindhu, Sazali Yaacob:
A hybrid expert system approach for telemonitoring of vocal fold pathology. Appl. Soft Comput. 13(10): 4148-4161 (2013) - [j4]M. Hariharan, C. Y. Fook, R. Sindhu, Abdul Hamid Adom, Sazali Yaacob:
Objective evaluation of speech dysfluencies using wavelet packet transform with sample entropy. Digit. Signal Process. 23(3): 952-959 (2013) - 2012
- [j3]M. Hariharan, C. Y. Fook, R. Sindhu, Bukhari Ilias, Sazali Yaacob:
A comparative study of wavelet families for classification of wrist motions. Comput. Electr. Eng. 38(6): 1798-1807 (2012) - [j2]M. Hariharan, R. Sindhu, Sazali Yaacob:
Normal and hypoacoustic infant cry signal classification using time-frequency analysis and general regression neural network. Comput. Methods Programs Biomed. 108(2): 559-569 (2012) - [j1]M. Hariharan, J. Saraswathy, R. Sindhu, Wan Khairunizam, Sazali Yaacob:
Infant cry classification to identify asphyxia using time-frequency analysis and radial basis neural networks. Expert Syst. Appl. 39(10): 9515-9523 (2012)
Coauthor Index
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