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ocean-acoustics

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suniltyagialtair / Underwater-Acoustic-Synthetic-Dataset

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Synthetic underwater acoustic waveforms for self-supervised learning. 12,000 5-second clips at 16 kHz covering 4 vessel classes + no-vessel ambient. Non-overlapping shaft rates, blade-gated cavitation bursts, Knudsen-model sea noise. License: TBD by Altair Infrasec Pvt. Ltd. Contact styagi@oravontsystems.com for details

machine-learning signal-processing underwater-acoustics self-supervised-learning hydrophone audio-dataset synthetic-dataset ocean-acoustics sea-noise sonar-vessel-classification self-supervised-learning-signal-processing
  • Updated Jan 31, 2026
uwa-ray-bench

huguryildiz / uwa-ray-bench

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Five LLMs, one physics prompt, one ground truth — a blind benchmark that scores AI-generated 3D underwater acoustic ray-propagation panels against a real BELLHOP3D run on data, not pixels. Vanilla JS + raw WebGL, zero dependencies, one shared harness.

webgl benchmark canvas vanilla-javascript static-site scientific-visualization computational-physics sonar underwater-acoustics ray-tracing 3d-visualization bellhop zero-dependencies llm-evaluation ocean-acoustics ai-benchmark llm-benchmark acoustic-propagation transmission-loss
  • Updated Jul 13, 2026
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