On the prediction of impact noise, Part V: the noise from drop hammers[J]. Journal of Sound and Vibration, 1983,88 (3):333 ～ 397.On the Prediction of Impact Noise, Part V: the Noise from Drop Hammers. Richards E J,Carr I,Westcott M. Journal of Sound and Vibration . 1983...
An artificial neural network (ANN) based on particle swarm optimization (PSO) was developed for the time series prediction. The hybrid ANN+PSO algorithm was applied on Mackey-Glass chaotic time series in the short-term x(t + 6). The performance prediction was evaluated and compared with other...
Impact sound transmission from decoupled heavy stairs there are no standard procedures available neither for measurement in the laboratory nor for the prediction of the impact sound transmission in buildings. Inv... J Scheck,HM Fischer,E Taskan,... - International Congress & Exposition on Noise ...
The purposes of this study are to investigate the neural representation of a speech stimulus in the auditory system of individuals with normal hearing (NH) and those with hearing aids (HAs) and to explore the impact of noise reduction algorithms (NR) on
Direct Numerical Prediction of Aerodynamic Noise Emitted from a Generic Automobile Rear-View Mirror We numerically simulated the aerodynamic noise generated from the unsteady flow around a generic model of automobile rear-view mirrors in this study. This ... DOI, Katsunori,MIYOSHI, Masaya,HAMAMOTO, ...
Classification is one of the fundamental tasks in machine learning. The quality of data is important in constructing any machine learning model with good prediction performance. Real-world data often suffer from noise which is usually referred to as errors, irregularities, and corruptions in a datase...
prediction is often well beyond the timescale of single outbreaks, implying prediction is likely to succeed. We also find that the forecast horizon varies by disease and demonstrate that both shifting model structures and social network heterogeneity are the most likely mechanisms for the observed ...
Except some commonly used technologies, such as layer normalization and dropout, we also introduce attention mechanism to further enhance the prediction accuracy. Besides, we propose to carry on the normal scores transform on the input features, which aims to make the relationship between inputs and...
Development and external validation of an interpretable machine learning model for the prediction of intubation in the intensive care unit ArticleOpen access08 November 2024 Predictive risk models for COVID-19 patients using the multi-thresholding meta-algorithm ...
The Prediction of Human Sociability in the Domestic Cat. (Doctoral dissertation), Lincoln: University of Lincoln (2015). Friard, O. & Gamba, M. BORIS: A free, versatile open-source event-logging software for video/audio coding and live observations. Methods Ecol. Evolut. 7, 1325–1330. ...