Results 231 to 240 of about 28,392 (299)

Sound source localization identification accuracy: Envelope dependencies. [PDF]

J Acoust Soc Am, 2017
Yost WA.
europepmc   +1 more source

Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining

Advanced Intelligent Systems, EarlyView.
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson, Nebojša Maleševic, Anders Björkman, Christian Antfolk   +3 more
wiley   +1 more source

"Virtual Arrays", a novel broadband source localization technique

, 2012
Fernandez Comesana, Daniel, Holland, Keith R., de Bree, Hans-Elias, Wind, Jelmer   +3 more
core  

Evolution of Sound Source Localization Circuits in the Nonmammalian Vertebrate Brainstem. [PDF]

Brain Behav Evol, 2017
Walton PL, Christensen-Dalsgaard J, Carr CE.   +2 more
europepmc   +1 more source

Ultrasonic Rainbow: A Meta‐Transducer for Frequency‐Selective Elastic Wave Control via Dithering‐Based Wavenumber Tuning

Advanced Intelligent Systems, EarlyView.
A piezoelectric meta‐transducer generates an ultrasonic rainbow, steering guided elastic waves to different angles according to frequency. A dithering‐based binary electrode design enables a closer realization of the target wavenumber filter, improving directional purity and suppressing unwanted lobes. Numerical and experimental validation demonstrates
Masoud Mohammadgholiha, Jochen Moll, Kilian Tschöke, Carsten Kruska, Sylvia E. Gebhardt, Luca De Marchi   +5 more
wiley   +1 more source

Design of UAV-Embedded Microphone Array System for Sound Source Localization in Outdoor Environments. [PDF]

Sensors (Basel), 2017
Hoshiba K, Washizaki K, Wakabayashi M, Ishiki T, Kumon M, Bando Y, Gabriel D, Nakadai K, Okuno HG.   +8 more
europepmc   +1 more source

Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics

Advanced Intelligent Systems, EarlyView.
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez, Jokin Alcibar, Joel Pino, Mikel Sanz, Jose I. Aizpurua   +4 more
wiley   +1 more source

Sound source localization identification accuracy: Level and duration dependencies. [PDF]

J Acoust Soc Am, 2016
Yost WA.
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

Sound source localization and segregation with internally coupled ears: the treefrog model. [PDF]

Biol Cybern, 2016
Bee MA, Christensen-Dalsgaard J.
europepmc   +1 more source