arXiv Machine Learning By Amirmohammad Mohammadi, Joshua Peeples, Alexandra Van Dine

Parameter-efficient Dual-encoder Architecture with Differentiable Choquet Integral Fusion for Underwater Acoustic Classification

Read the original on arXiv Machine Learning →

arXiv:2606. 02341v1 Announce Type: cross Abstract: Underwater acoustic classification has a wide array of oceanic applications, but faces challenges due to an increasingly complex acoustic environment.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

arXiv AI
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SL-S4Wave: Self-Supervised Learning of Physiological Waveforms with Structured State Space Models

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DAStatFormer: A Hybrid Multibranch Transformer with Statistical Feature Integration for DAS-Based Pattern Recognitions

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