Characterising wave properties based on measurement data using a machine-learning model
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United States of America
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Feb 18, 2025
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Jun 13, 2024
app pub date -
Aug 1, 2023
filing date -
Aug 1, 2023
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Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for estimating wave properties of a body of water. A computer-implemented system obtains measurement data for a duration of time from an inertial measurement unit (IMU) onboard an underwater device, generates model input data based on at least the measurement data obtained at the plurality of time points, and processes the model input data to generate model output data indicating one or more wave properties using a machine-learning model. The system further determines, based on at least the one or more wave properties, whether the device is safe to be deployed.
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