Now showing items 1-4 of 4
Application of the output dependent feature scaling in modeling and prediction of performance of counter flow vortex tube having various nozzles numbers at different inlet pressures of air, oxygen, nitrogen and argon
(Elsevier Sci Ltd, 2011)
In this study, the performance of the counter flow type vortex tube with the input parameters including the nozzle number (N), the densities of inlet gases (air, oxygen, nitrogen, and argon) and the inlet pressure (P-inlet) ...
A Novel Data Preprocessing Method for the Modeling and Prediction of Freeze-Drying Behavior of Apples: Multiple Output-Dependent Data Scaling (MODDS)
(Taylor & Francis Inc, 2012)
In the present study, the freeze drying behavior of apples have been modeled and predicted. Because freeze-drying is a very expensive and complex process, modeling of the freeze-drying process is a challenging task. In ...
Towards the classification of heart sounds based on convolutional deep neural network
Background and objective Heart sound contains various important quantities that help early detection of heart diseases. Many methods have been proposed so far where various signal-processing techniques have been used on ...
Freezing of Gait (FoG) Detection using Logistic Regression in Parkinson's disease from Acceleration signals
The detection and diagnosis of Parkinson disease (PD) are very important concerning the treatment of this disease. In this work, the freezing of gait (FoG) from subjects with Parkinson disease has been detected by the ...