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Ship Type Classification Using CNNs by p177508 Mansoor Ali is a document available to read on EtoBox.

What is Ship Type Classification Using CNNs about?

The document describes a convolutional neural network model with auditory-like mechanisms for ship type classification using radiated noise. The model includes a cochlea model that implements time convolutional layers and a frequency conversion layer to extract auditory features from raw acoustic signals. It also includes an auditory center model that selectively emphasizes features and extracts spectro-temporal patterns through deep architecture with multistage auditory mechanisms. The model achieves 87.2%

Author

p177508 Mansoor Ali

Language

EN