In this work, we derive a Monte Carlo expectation maximization algorithm for estimating noise from a noisy utterance. In contrast to earlier approaches, where the distribution of noise was estimated based on a vector Taylor series expansion, we use a combination of importance sampling and Parzen-window density estimation to numerically approximate the occurring integrals with the Monte Carlo me...

In this note, we provide simple proofs of consistency for two well-known algorithms for mean curvature motion, Almgren-Taylor-Wang's [1] variational approach, and Merriman-Bence-Osher's algorithm [3]. Our techniques, based on the same notion of strict suband super ows, also work in the (smooth) anisotropic case.

A numerical method for the simulation of three-dimensional incompressible twophase flows is presented. The proposed algorithm combines an implicit pressure stabilized finite element method for the solution of incompressible two-phase flow problems with a level set method implemented with a quadrature-free Discontinuous Galerkin (DG) method [1]. The use of a fast contouring algorithm [2] permits...

Supernovae of type Ia (SNe Ia) are very important for cosmography. To exclude systematic effects in linking the observed light of distant SNe Ia to the parameters of cosmological models, one has to understand the nature of supernova outbursts and to build accurate algorithms for predicting their emission. We review the recent progress of modeling the propagation of nuclear flame subject to nume...

Electroencephalogram (EEG) signal is mostly utilised to monitor epilepsy revitalize the close loop brain. Several classical methods devised identify seizures rely on visual analysis of EEG signals which a costly and complex task if channel count increases. A novel method, namely, rag-Rider optimisation algorithm (rag-ROA) for training deep recurrent neural network (Deep RNN) discover epileptic ...

Fair-division problems are ubiquitous. They range from the day-to-day chore assignments to the Israeli-Palestinian conflict and include the division of an inheritance to the heirs (Brams & Taylor, 1999; Massoud, 2000). Many intuitive and self-implementable algorithms guaranteeing “fairness” have been devised in the past 50 years (Brams & Taylor, 1996). So far, very few empirical studies have pu...

Supernovae of type Ia (SNe Ia) are very important for cosmography. To exclude systematic effects in linking the observed light of distant SNe Ia to the parameters of cosmological models, one has to understand the nature of supernova outbursts and to build accurate algorithms for predicting their emission. We review the recent progress of modeling the propagation of nuclear flame subject to nume...

In this article, we derive a rigorous characterization of the boundary-layer and interior separations in the Taylor-Couette-Poiseuille (TCP) flow. The results obtained provide a rigorous characterization on how, when and where the propagating Taylor vortices (PTV) are generated. In particular, contrary to what is commonly believed, we show that the PTV do not appear after the first dynamical bi...

A group of small sensors can participate in the wireless network infrastructure and make appropriate transmission communication sensor networks. There are numerous uses for drones, including military, medical, agricultural, atmospheric monitoring. The power sources available to nodes WSNs restricted. Furthermore, because this, a diverse method energy availability is required, primarily over vas...