نتایج جستجو برای: sequential gaussian co
تعداد نتایج: 491499 فیلتر نتایج به سال:
In this study the hardness SWCT was calculated with B3LYP,HF method and 3-21G,6-31G,6-311G basis set .Then it was investigated with the best method(B3LYP) and basis set(6-31G) to study the adsorption effects CO2 on the hardness of SWCNT with gap HOMO-LUMO in two shape: Horizontal, Vertical and Top-Center-Bridge and We also provide the effects of CO2 adsorption on the elect...
the objective of this study was to simulate carbon monoxide (co) dispersion exited from the stacks of a cement industry in doroud, iran by gaussian model (gm). four sampling period was conducted for the measurement of co from the factory's three-stack flow during a period of one year. the input parameters were the rate of co emission, meteorological data, factors related to the stack, and...
background: in this paper we compare a highly accurate supervised to an unsupervised technique that uses breast thermal images with the aim of assisting physicians in early detection of breast cancer. methods: first, we segmented the images and determined the region of interest. then, 23 features that included statistical, morphological, frequency domain, histogram and gray-level co-occurrence ...
Fault detection and failure prediction for nonlinear non-Gaussian systems is an important issue both from the economic and safety point of view. Most of the fault detection techniques assume the system model to be linear and the noise to be Gaussian. These linearization assumptions tend to suffer form poor detection and imprecise prediction. Also, they may lead to false alarms which would incur...
We specify here the features which are used by our models. Each feature description is composed of two parts: a description of a structural element, and a (possibly empty) description of a sequential context. All models discussed in the paper are obtained by combining a set of structural elements St with a set of sequential contexts Co, and producing all corresponding features (i.e. producing a...
Sequential Gaussian simulation (sgsim) and sequential indicator simulation (sisim) have emerged as powerful tools for stochastic imaging of Earth Science phenomena and are currently widely accepted fast simulation algorithms. In this paper, we will expand the sequential simulation toolbox by relying on a recent development in geostatistical theory (Journel, 1994) denoted as direct sequential si...
BACKGROUND This study investigated the effect of two in vitro embryo culture systems (co-culture system versus cell-free sequential-media) on developmental competence, cryosurvival and DNA- fragmentation of in vitro developed bovine blastocysts. MATERIALS AND METHODS Bovine presumptive zygotes were cultured in Ménézo's B2 (B2) plus vero-cells or sequential synthetic oviductal fluid (SOF) for ...
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by imposing a Gaussian prior over value functions and assuming a Gaussian noise model. Due to the Gaussian nature of the random processes involved, the posterior distribution of the value function is also Gaussian and is t...
The analysis of how groups of animals move collectively is the focus of much current research. This paper offers a Bayesian model of animal co-movement based on a mixture of Gaussian processes.
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