Students Placement Prediction Using Classification Techniques

2019 ◽  
Vol 7 (4) ◽  
pp. 289-293
Author(s):  
Sumaira Asif ◽  
Tabrez Nafis
2012 ◽  
Author(s):  
Alasdair Matthew Goodwill ◽  
Skye Stephens ◽  
Sandra Oziel ◽  
Nicola Bowes

2017 ◽  
Vol 13 (9) ◽  
pp. 6480-6488 ◽  
Author(s):  
A.D. Jeyarani ◽  
Reena Daphne ◽  
Solomon Roach

The main contribution of this paper has been to introduce nonlinear classification techniques to extract more information from the PCG signal. Especially, Artificial Neural Network classification techniques have been used to reconstruct the underlying system’s state space based on the measured PCG signal. This processing step provides a geometrical interpretation of the dynamics of the signal, whose structure can be utilized for both system characterization and classification as well as for signal processing tasks such as detection and prediction.


Author(s):  
R. Balamurugan ◽  
N. Narayanan Prasanth ◽  
M. Amutha Prabakar ◽  
K. Vimala Devi

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