Results 211 to 220 of about 1,139,564 (257)
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Temporal and Spectral Cues for Phoneme Perception in School-Age Children and Adults. [PDF]
Kane SLG +4 more
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Hemispheric Asymmetry in Cortical Auditory Processing: The Interactive Effects of Attention and Background Noise. [PDF]
Basavanahalli Jagadeesh A, Uppunda AK.
europepmc +1 more source
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar +2 more
wiley +1 more source
Modeling the acoustic-to-auditory transformation for stop consonant-vowel syllables
Damper, R. I., Gunn, S. R.
core +1 more source
Speech-in-noise discriminability after noise exposure: Insights from a gerbil model of acoustic trauma. [PDF]
Jüchter C +4 more
europepmc +1 more source
Alzheimer's Disease Beyond Amyloid: Lessons From Atherosclerosis
Annals of Clinical and Translational Neurology, EarlyView.
Marcello Ciaccio, Luisa Agnello
wiley +1 more source
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal +2 more
wiley +1 more source
Speech sound discrimination in background noise across the lifespan: a comparative study in Mongolian gerbils and humans. [PDF]
Jüchter C +3 more
europepmc +1 more source

