R. Vasanthakumari

Minimum sample size determination of vibration signals in machine learning approach to fault diagnosis using power analysis

V. Sugumaran, V. Indira, R. Vasanthakumari, 2010, Expert Syst. Appl..

SAMPLE SIZE DETERMINATION FOR CLASSIFICATION OF EEG SIGNALS USING POWER ANALYSIS IN MACHINE LEARNING APPROACH

V. Sugumaran, V. Indira, R. Vasanthakumari, 2012 .

A method for calculation of optimum data size and bin size of histogram features in fault diagnosis of mono-block centrifugal pump

N. R. Sakthivel, V. Sugumaran, V. Indira, 2011, Expert Syst. Appl..

Determination of sample size using power analysis and optimum bin size of histogram features

N. R. Sakthivel, V. Sugumaran, V. Indira, 2011, Int. J. Data Anal. Tech. Strateg..

NEURO BASED APPROACH FOR SPEECH RECOGNITION BY USING MEL-FREQUENCY CEPSTRAL COEFFICIENTS

R. Vasanthakumari, R. Vasanthakumari, R. Venkateswarlu, 2011 .

Nanomaterials: science, technology and applications : selected, peer reviewed papers from the International Conference on Nanomaterials: Science, Technology and Applications (ICNM'13), December 5-7, 2013, Chennai, India

Abdul Hadi, R. Vasanthakumari, Takuya Tsuzuki, 2014 .

Determination of minimum sample size for fault diagnosis of automobile hydraulic brake system using power analysis

R. Jegadeeshwaran, V. Indira, R. Vasanthakumari, 2015 .