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Next to stroke, the epilepsy is one of the most serious neurological disorders. Due to the hyperactive firing of neurons on a cellular level, epilepsy is caused. The activities of the cortical regions are recorded with the help of Electroencephalogram (EEG) which helps in the diagnosis of epilepsy. The normal patterns of the activities of neurons becomes severely disturbed in the case of epilepsy,...
In the past two decades, the Electroencephalograph (EEG) dependent Brain Computer Interface (BCI) for analyzing and detecting the mental disorders especially epilepsy has triggered a lot of research interest in both biomedical industrial side and academia. The main ingredient of EEG dependent BCI are preprocessing of EEG signals, feature extraction of EEG signals and classification of EEG signals...
Transformation of occurred rainfall into runoff generated within a catchment is a complex natural phenomenon that passes through various inter-related processes and influenced by many topographic, geographic, geologic and sociologic factors. To develop a model that can reliably imbibe the complex Rainfall-Runoff interaction, two different approaches namely, conventional regression and Artificial Neural...
Sentimental Analysis is one of the most popular technique which is widely been used in every industry. Extraction of sentiments from user's comments is used in detecting the user view for a particular company. Sentimental Analysis can help in predicting the mood of people which affects the stock prices and thus can help in prediction of actual prices. In this paper sentimental analysis is performed...
In this paper, a novel hybrid control approach has been considered which includes an artificial neural network (ANN), a zig-zag transformer and hysteresis current controllers (HCC) for a distributed static compensator (DSTATCOM). The hybrid controller is used for reduction of line current harmonics and for improvement of power factor in the system. The proposed controller pushes the source current...
In this work, a theoretical neuronal model incorporating the aggregate effect of distributed delay, in terms of excitatory and inhibitory potentials, is proposed. Monte Carlo simulation based study have been done for the proposed model. A comparative study for spiking activities of proposed model with leaky integrate-and-fire (LIF) model, neuronal model with weak delay and neuronal model with strong...
Penetration of media in financial market has changed the way of doing business, media, one of the most growing medium to exchange ideas & thoughts, which plays an important role in influencing thoughts of the investors which in turn affects market transactions figures and index values. Thus machine learning and sentiment analysis can be of great help in deducing the mood and psychology of people...
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