Hybrid noise predictions of a radial notebook blower

Hybrid model decomposition of speech and noise in a radial basis function neural model framework

This paper focus on a new approach to automatic speech recognition in noisy environments where the noise has either stationary or non-stationary statistical characteristics. The aim is to perform automatic recognition of speech in the precence of additive car noise. The technique applied is based on a combination of the Hidden Markov Model (HMM) decomposition method [ 11, for speech recognition...

A meshless technique for nonlinear Volterra-Fredholm integral equations via hybrid of radial basis functions

In this paper, an effective technique is proposed to determine thenumerical solution of nonlinear Volterra-Fredholm integralequations (VFIEs) which is based on interpolation by the hybrid ofradial basis functions (RBFs) including both inverse multiquadrics(IMQs), hyperbolic secant (Sechs) and strictly positive definitefunctions. Zeros of the shifted Legendre polynomial are used asthe collocatio...

Radial Oscillations of Hybrid Stars

We study the effect of quark and nuclear matter mixed phase on the radial oscillation modes of neutron stars. For this study we have considered recent models from two classes of equations of state namely the relativistic mean field theoretical models and models based on realistic nucleon-nucleon interactions incorporating relativistic corrections and three body nuclear interactions. E–mail :vkg...

Improving Predictions with Hybrid Markets

Statistical models almost always yield predictions that are more accurate than those of human experts. However, humans are better at data acquisition and at recognizing atypical circumstances. We use prediction markets to combine predictions from groups of humans and artificialintelligence agents and show that they are more robust than those from groups of humans or agents alone.

Educating the Whistle - Blower