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80.745  Articles
1 of 8.075 pages  |  10  records  |  more records»
In transportation and traffic analysis count data arises frequently, collectively emerging from individual traveler choices from a choice set of alternatives. Examples include network origin-destination (OD) flow rates and visitor counts at transit statio... see more

This paper experiments an artificial neural networks model with Bayesian approach on a small real estate sample. The output distribution has been calculated operating a numerical integration on the weights space with the Markov Chain Hybrid Monte Carlo Me... see more

It is important to determine the soil–water characteristic curve (SWCC) for analyzing slope seepage and stability under the conditions of rainfall. However, SWCCs exhibit high uncertainty because of complex influencing factors, which has not been previous... see more

Many problems in petroleum engineering involve solving multivariable complex integrals and analytic calculation is rarely possible in most practical cases. Numerical approximation appears to be practicable. However, majority of existing numerical solution... see more

While estimating origin-destination (OD) demand flows usually requires a large amount of data, nowadays a key issue in traffic engineering is to estimate the trip purpose while protecting user privacy. The aim of this work is to derive from macroscopic an... see more

In the agricultural industry, the risk variability in the internal supply chain is very high which is influenced by various factors, namely humans, weather, nutrition, pests, and others. These risks must be mapped so that companies in the agricultural ind... see more

In medical forecasting, there are often challenges in which it is necessary to assess the risk that is continuous for a long time, and important events can occur more than once. One of the ways of solving problems of this type is the use of Markov models.... see more

In medical forecasting, there are often challenges in which it is necessary to assess the risk that is continuous for a long time, and important events can occur more than once. One of the ways of solving problems of this type is the use of Markov models.... see more

Bài báo này trình bày vi?c s? d?ng thu?t toán BiCGstab(l) d? xây d?ng chuong trình gi?i phuong trình Poisson ba chi?u. Chuong trình này sau dó s? du?c tích h?p vào chuong trình mô ph?ng Monte-Carlo t?p h?p t? h?p d? áp d?ng mô ph?ng linh ki?n na-nô bán d?... see more

1 of 8.075 pages  |  10  records  |  more records»