Gravitational-wave population studies have become more important in gravitational-wave astronomy because of the rapid growth observed catalog. In recent studies, emulators based on different machine learning techniques are used to emulate outcomes synthesis simulation with fast speed. this study, we benchmark performance two that learn truncated power-law phenomenological model by using Gaussia...

background: the area of contaminated lands exposed to the health risk of environmental pollutants is a matter of argument. in this study, a new method was developed to estimate the amount of area that is exposed to higher than normal levels of cr, mn, and v. methods: overall, 170 soil samples were collected from the upper 10 cm of soil in an arid area in central part of iran in semnan province....

hydrograph modeling and prediction of groundwater levels are the main concerns of most hydrogeological calculations and water resource management process. the present study is an application of sequential gaussian simulation (sgsim) method for predicting groundwater levels using recorded monthly data (180 months) related to 21 piezometers of behbahan aquifer, southwest of iran. to generate real...

This article address a novel emotion recognition system based on the Truncated Gaussian mixture model .The proposed system has been experimented over an gender independent emotion recognition database In the recent past, many models have been listed in the literature based on the emotion recognition, but these papers are more focused towards the speech, ignoring the emotion of the speaker at th...

In this work, we highlight the truncation effect in Received Signal Strength Indication (RSSI) distributions. The effect is often overlooked when applying probabilistic methods such as Multivariate Gaussian Inference (MGI), for location inference. Towards practical and accurate probabilistic location inference, we propose Multivariate Truncated Gaussian Inference (MTGI) to deal with the beacons...

We investigate a hybrid numerical algorithm aimed at the large-scale cosmological N-body simulation for on-going and future high precious sky surveys. It makes use of truncated Fast Multiple Method (FMM) short-range gravity, incorporating with Particle Mesh (PM) method long-range potential, which is applied to deal extremely large particle number. In this work, we present specific strategy modi...

Gaussian processes are a limit extension of neural networks. Standard Gaussian process techniques use a squared exponential covariance function. Here, the use of truncated covariances is proposed. Such cov-ariances have compact support. Their use speeds up matrix inversion and increases precision. Furthermore they allow the use of speedy, memory eecient Toeplitz inversion for high dimensional g...