Search results for "METHODOLOGIE"
showing 10 items of 2141 documents
Computer code from Sex roles and the evolution of parental care specialization.
2019
Computer code for the mathematical model in Mathematica
Computer code from Sex roles and the evolution of parental care specialization
2019
Computer code for the mathematical model in Mathematica
Computer code from Sex roles and the evolution of parental care specialization.
2019
Computer code for the mathematical model in Mathematica
The effect of culture on educational methodologies in international business programs: an application to the iMBA program
2012
As the world becomes global, there are growing needs and opportunities for intercultural exchanges in learning processes. In the context of the Spanish University Strategy for 2015, one of the most important objectives is to increase internationalisation through international postgraduate courses (Spanish Ministry of Education, 2010). Intercultural teaching capabilities are now becoming necessary for better achieving perceived service quality among international students. In the area of business studies, research on pedagogical issues is needed in order to provide recommendations and group management implications. For instance, a challenge for international business programs is dealing with…
Additional file 3 of Low awareness and common misconceptions about schistosomiasis in endemic lowland areas in Western Ethiopia: a mixed-methods study
2021
Additional file 3: Supplementary file 3 Schistosoma infection risky behaviors observation guide.pdf
"Table 1" of "Lowest Q**2 measurement of the gamma* p --> delta reaction: Probing the pionic contribution."
2006
Measured value of SIG(C=T) + EPS*SIG(C=L) as a function of the pion angle relative to the virtual photon direction.
Concept Drift Detection Using Online Histogram-Based Bayesian Classifiers
2016
In this paper, we present a novel algorithm that performs online histogram-based classification, i.e., specifically designed for the case when the data is dynamic and its distribution is non-stationary. Our method, called the Online Histogram-based Naïve Bayes Classifier (OHNBC) involves a statistical classifier based on the well-established Bayesian theory, but which makes some assumptions with respect to the independence of the attributes. Moreover, this classifier generates a prediction model using uni-dimensional histograms, whose segments or buckets are fixed in terms of their cardinalities but dynamic in terms of their widths. Additionally, our algorithm invokes the principles of info…
Fuzzy Control of Uncertain Nonlinear Systems with Numerical Techniques: A Survey
2019
This paper provides an overview of numerical methods in order to solve fuzzy equations (FEs). It focuses on different numerical methodologies to solve FEs, dual fuzzy equations (DFEs), fuzzy differential equations (FDEs) and partial fuzzy differential equations (PFDEs). The solutions which are produced by these equations are taken to be the controllers. This paper also analyzes the existence of the roots of FEs and some important implementation problems. Finally, several examples are reviewed with different methods.
The SISCone jet algorithm optimised for low particle multiplicities
2011
The SISCone jet algorithm is a seedless infrared-safe cone jet algorithm. There exists an implementation which is highly optimised for a large number of final state particles. However, in fixed-order perturbative calculations with a small number of final state particles, it turns out that the computer time needed for the jet clustering of this implementation is comparable to the computer time of the matrix elements. This article reports on an implementation of the SISCone algorithm optimised for low particle multiplicities.
Metal artifact reduction in x-ray computed tomography: Inpainting versus missing value
2011
A comparison of algorithms for reduction of metal artifacts in x-ray cone beam computed tomography (CBCT) is presented. In the context of algebraic reconstruction techniques (ART) several inpainting algorithms in the image domain are evaluated against missing data strategies. A GPU-based iterative framework is employed for a meaningful comparison of both. Simulation results from an extended Shepp-Logan phantom and real world dental data are given.