This project implements Latin Hypercube Sampling (LHS) and Fractional Factorial Design (FFD) methods to generate scenarios for a stated preference survey. The survey focuses on examining the factors ...
Abstract: The present study aims to elaborate on advanced sampling mechanisms employment into bleeding edge machine learning processes. Application of such approaches are considered in two stages.
Injection molding process parameters have a great impact on plastic production quality, manufacturing cost, and molding efficiency. This study proposes to apply the method of Latin hypercube sampling, ...
Abstract: An improved Latin hypercube sampling method is proposed to solve the problems of low computational efficiency and the correlation between computational time, amount of computation, and ...
Image segmentation techniques play a vital role in aiding COVID-19 diagnosis. Multi-threshold image segmentation methods are favored for their computational simplicity and operational efficiency.
One of the problems that affects hydroinstallations and reduces the useful life of dams is sedimentation in the reservoir. In estimating reservoir sedimentation and accumulation, a number of ...
Alternatively, you can clone on github and then install the package locally: $ git clone https://github.com/sahilm89/lhsmdu $ cd lhsmdu $ python setup.py install ...
ABSTRACT: In this paper, we are interested to find the most sensitive parameter, local and global stability of ovarian tumor growth model. For sensitivity analysis, we use Latin Hypercube Sampling ...
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