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In this paper, we implement a Convolutional Neural Network especially designed for Natural Language processing. With the help of this CNN, we try to classify sentences for sentiment analysis for which the embeddings used were learned from scratch rather than using pre-trained word2vec vectors. Here we try to vary the different parameters and learn how they effect on the performance of the CNN. From...
The multichannel nature of EEG and EMG data poses a big challenge to the development of automatic EEG/EMG analysis and classification systems. Due to the “curse of dimensionality” problem, the analysis and classification of several channels may not lead to the desired performance. Accordingly, a number of algorithms have been proposed to identify small “static” subsets of channels that are capable...
Surface electromyography (sEMG) is widely used in evaluating the functional status of the hand to assist in hand gesture recognition, prosthetics and rehabilitation applications. The sEMG is a noninvasive, easy to record signal of superficial muscles from the skin surface. Considering the nonstationary characteristics of sEMG, recent feature selection of hand gesture recognition using sEMG signals...
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