Results 131 to 140 of about 26,557 (265)

Acoustic modelling of machines

Archives of Acoustics, 2014
The vibro-acoustics modelling of machines and equipment sound fields occurring in industry has been presented in the paper. Several methods allowing the sound fiels modelling on the bases of a sound pressure and sound intensity measurements have been ...
Z. ENGEL, L. STRYCZNIEWICZ
doaj  

Equilibrium Propagation for Dissipative Dynamics

Advanced Intelligent Systems, EarlyView.
This work develops local learning rules for damped linear dynamical systems, including mechanical structures and resistor‐inductor‐capacitor (RLC) circuits, by leveraging an effective action formulation. It demonstrates how physical systems can autonomously compute gradients and learn temporal patterns, enabling applications such as sound ...
Marc Berneman, Daniel Hexner
wiley   +1 more source

Resource‐Aware Contrastive Scattering Meta‐Learning for Efficient Few‐Shot Acoustic Anomaly Detection

Advanced Intelligent Systems, EarlyView.
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley   +1 more source

Integrating Eye Tracking in Acoustic Research: Methods for Sound Localization, Event Detection, Multimodal Sensing, and Perceptual Analysis. [PDF]

Sensors (Basel)
Ciaburro G, Puyana-Romero V.
europepmc   +1 more source

Gate‐Align‐SED: Semi‐Supervised Sound Event Detection via Adaptive Feature Gating and Cross‐Task Alignment in Situation Awareness

Advanced Intelligent Systems, EarlyView.
Overview of the proposed Gate‐Align‐SED, including two stages of training: (1) Mean‐Teacher SSL Training; and (2) Enhancer Model Training. In complex real‐world environments such as disaster monitoring, effective sound event detection (SED) is often hindered by the presence of noise and limited labeled data.
Jieli Chen, Li‐Minn Ang, Chee Shen Lim, Kah Phooi Seng, Jeremy Smith   +4 more
wiley   +1 more source

Numerical Validation of mSOUND Using Fully Heterogeneous Skull Models. [PDF]

IEEE Open J Ultrason Ferroelectr Freq Control
Bell J, Xu LU, Chen H, Jing Y.
europepmc   +1 more source

Partial hearing recovery after cochlear nerve surface transplantation of hair follicle‐derived neural crest stem cells in neural hearing loss rat

Animal Models and Experimental Medicine, EarlyView.
This study comprises three experimental parts. Part 1. Time‐course of ouabain‐induced hearing loss. Rats received ouabain (10 mM) via round window application. ABR/DPOAE tests and histological analyses were performed at 2, 7, and 30 days post‐treatment to characterize SGN and glial cell degeneration. Part 2.
Huidong Chen, Yunlong Zhang, Huanzhi Wan, Bingqian Yang, Tianyi Liu, Jie Wang, Hua Liao, Yuanyuan Zhang, Zhijian Zhang, Qingquan Hua   +9 more
wiley   +1 more source

Noise Levels and Acoustic Quality of Preschool Learning Spaces in Taiwan. [PDF]

Int J Environ Res Public Health
Page WH, McLaren SJ.
europepmc   +1 more source

Deep-Sea Target Localization with Entropy Reduction: Sound Ray Bending Correction Based on TOA Time Series Analysis and Joint TOA-AOA Fusion. [PDF]

Entropy (Basel)
Kang Y, Shen X, Wang H, Yan Y, Jia T.
europepmc   +1 more source

A Precise Focusing Simulation Platform for Transcranial Acoustoelectric Brain Imaging. [PDF]

Sensors (Basel)
Guo J, Huang J, Song X, Hu C, Liu X, Ming D.   +5 more
europepmc   +1 more source