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Found 9 papers, 2 papers with code
Experimental Results of Underwater Sound Speed Profile Inversion by Few-shot Multi-task Learning
Underwater Sound Speed Profile (SSP) distribution has great influence on the propagation mode of acoustic signal, thus the fast and accurate estimation of SSP is of great importance in building underwater observation systems.
Underwater Sound Speed Profile Construction: A Review
The proposal of SSP inversion method greatly improves the convenience and real--time performance, but the accuracy is not as good as the direct measurement method.
Fast Ray-Tracing-Based Precise Underwater Acoustic Localization without Prior Acknowledgment of Target Depth
To tackle this issue, we propose an iterative ray tracing 3D underwater localization (IRTUL) method for stratification compensation.
Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts
Educational materials such as survey articles in specialized fields like computer science traditionally require tremendous expert inputs and are therefore expensive to create and update.
DOMFN: A Divergence-Orientated Multi-Modal Fusion Network for Resume Assessment
Inspired by practical resume evaluations that consider both the content and layout, we construct the multi-modalities from resumes but face a new challenge that sometimes the performance of multi-modal fusion is even worse than the best uni-modality.
Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition
Fast contextual adaptation has shown to be effective in improving Automatic Speech Recognition (ASR) of rare words and when combined with an on-device personalized training, it can yield an even better recognition result.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Restrictions, L-parameters, and local coefficients for genuine representations
Furthermore, working with an arbitrary irreducible constituent of a unitary unramified principal series, we prove a multiplicity formula for its restriction to the derived subgroup in terms of three associated R-groups.
Representation Theory Number Theory Primary 11F70, Secondary 22E50
DCMD: Distance-based Classification Using Mixture Distributions on Microbiome Data
The performance of the model is assessed using simulations and applied to a human microbiome study, with results compared against a number of existing machine learning and distance-based approaches.
Spin selectivity through chiral polyalanine monolayers on semiconductors
Electrical generation of polarized spins in nonmagnetic materials is of great interest for the underlying physics and device potential.
Applied Physics Strongly Correlated Electrons
