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The evaluation results show that the top three highest performing methods are the nonlinear autoregressive neural network, rough sets method, and monthly replacement.
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The data sets, methods and results are available through a Github repository (https://github.com/SheffieldChemoinformatics/missing-data-multitask-methods).
Details are shown for the 15 gene loci from the CONDOR CNE set with the highest number of Pbx-Hox KR motifs in their CNEs, showing enrichment relative to shuffled CNE sets (Methods and Additional File 6).
This chapter describes the characteristic set method and its applications.
New techniques of local level-set method and numerical integration are developed.
Interfacial transport and interfacial jump conditions are treated using the level-set method and the discrete Dirac function.
The idea is to compute the related flow map using the Level Set Method and the Liouville equation.
Level set method and leaky dielectric model coupled with Navier-Stokes equation are used to solve the electro-hydrodynamic problem.
It showed the area difference based on rough set was smaller by comparing the glacier areas of the rough set method and MLC with visual interpreter, respectively.
This paper presents a topology optimization method for fluid dynamics problems, based on the level set method and using the lattice Boltzmann method (LBM).
We use both the Level Set Method and the Ghost Fluid Method to capture the interface motion accurately and to handle suitable jump conditions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com