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Analyzing Musical Characteristics of National Anthems in Relation to Global Indices
The implications of our findings for music psychology and policymakers interested in promoting social well-being are discussed.
Unsupervised clustering of disturbances in power systems via deep convolutional autoencoders
Using neural networks with machine learning can aid in accurately classifying the recorded waveforms and help power system engineers diagnose and rectify the root causes of problems.
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