AIMC Topic: Ships

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Underwater acoustic target recognition using attention-based deep neural network.

JASA express letters Oct 1, 2021
Underwater acoustic target recognition based on ship-radiated noise is difficult owing to the complex marine environment and the interference by multiple targets. As an important technology for target recognition, deep-learning has high accuracy but ...
Neural Networks, Computer Noise Acoustics Ships
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Seabed type and source parameters predictions using ship spectrograms in convolutional neural networks.

The Journal of the Acoustical Society of America Feb 1, 2021
Broadband spectrograms from surface ships are employed in convolutional neural networks (CNNs) to predict the seabed type, ship speed, and closest point of approach (CPA) range. Three CNN architectures of differing size and depth are trained on diffe...
Neural Networks, Computer Ships
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Machine learning gets to grips with plankton challenge.

Nature Sep 1, 2018
Machine Learning Computers Animals Aquatic Organisms Ships Plankton Photography Cloud Computing Food Chain Predatory Behavior Marine Biology
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