Optimization of Steel Connecting Rod by Aluminum Connecting Rod using Finite Element Analysis
Published by: Sahil Guleria, Harpreet Singh
Full DetailsClassifications & Misclassifications of EEG Signals using Linear and Ada Boost Support Vector Machines
Epilepsy is one of the frequent brain disorder due to transient and unexpected electrical interruptions of brain. Electroencephalography (EEG) is one of the most clinically and scientifically exploited signals recorded from humans and very complex signal. EEG signals are non-stationary as it changes over time. So, discrete wavelet transform (DWT) technique is used for feature extraction. Classifications and misclassifications of EEG signals of linearly separable support vector machines are shown using training and testing datasets. Then AdaBoost support vector machine is used to get strong classifier.
Published by: Neelam Rout
Full DetailsUncertainty in Improving Durability Aspects and Mechanical Properties of Bamboo Reinforced Concrete
Published by: Dhanendra Kumar, Dr. S. Mandal
Full DetailsHuman Factor Considerations in Sewing Machine for Workstation Design
Published by: Gurbhej Singh, Hitesh Vasudev
Full Details