Titlebook: Distributed Computing and Internet Technology; 16th International C Dang Van Hung,Meenakshi D´Souza Conference proceedings 2020 Springer Na

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Bearing Fault Classification Using Wavelet Energy and Autoencoder simple. Further, the convolutional autoencoder has assisted in finding more distinguishing fault feature from wavelet energy to improve the diagnosis task using extreme learning machine. The proposed method testified using two vibration datasets, and decent results are achieved. The effect of autoe

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Community Detection in Social Networks Using Deep Learningural networks, several solutions based on autoencoders are being proposed in the recent literature. In this work, we propose a deep neural network architecture for community detection wherein we stack multiple autoencoders and apply parameter sharing. This method of training autoencoders has been su

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Distribution of Character Conditions,em and its proofs should not necessarily be located at a particular URL or within a particular prover’s library. While the world of symbolic logic and proof theory certainly allows for proofs to be seen as global and permanent objects, there is a lot of research and engineering work that is needed t

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