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Motor Imagery (MI) is a highly supervised method nowadays for the disabled patients to give them hope. This paper proposes a differentiation method between imagery left and right hands movement using Daubechies wavelet of Discrete Wavelet Transform (DWT) and Levenberg-Marquardt back propagation training algorithm of Neural Network (NN). DWT decomposes the raw EEG data to extract significant features...
Now a days in power generation, renewable energy plays a vital role in which photovoltaic energy generation placed top in the list of the renewable energy because of the easy process of generation. The photovoltaic energy depends on the solar irradiance and the temperature. To get the maximum power from the PV panel, the idea of Maximum Power Point Tracking (MPPT) is arrived. Too many algorithms and...
Brain computer interface is used for human and machine learning analysis. This paper represents the EEG datasets that are built with different cognitive task such as left, right, back and front imaginary movement with eye open. We have used different feature extraction method to classify these EEG signal using Support Vector Machine (SVM), k-Nearest Neighbor (k-NN) and Artificial Neural Network (ANN)...
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