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   Articles with "threshold gradient" as a keyword



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Simplified solution to one-dimensional consolidation with threshold gradient

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recommendations! Published in 2021 at "Computers and Geotechnics"

DOI: 10.1016/j.compgeo.2020.103943

Abstract: Abstract In this paper, a simplified solution of the soil consolidation problem with a threshold gradient is presented, which can be expressed by elementary functions. The analytical solution satisfies the boundary condition but does not… read more here.

Keywords: consolidation; threshold gradient; one dimensional; solution ... See more keywords

A polynomial model for the adaptive computation of threshold of gradient modulus in 2D anisotropic diffusion filter

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recommendations! Published in 2018 at "Optik"

DOI: 10.1016/j.ijleo.2017.11.177

Abstract: Abstract Anisotropic Diffusion (AD) filter is a non-linear spatial filter, widely used for denoising Magnetic Resonance (MR) images. But, the degree of smoothening and the quality of the morphological edges in the restored image are… read more here.

Keywords: polynomial model; diffusion filter; threshold gradient; model ... See more keywords

Study on lung CT image segmentation algorithm based on threshold-gradient combination and improved convex hull method

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-68409-4

Abstract: Lung images often have the characteristics of strong noise, uneven grayscale distribution, and complex pathological structures, which makes lung image segmentation a challenging task. To solve this problems, this paper proposes an initial lung mask… read more here.

Keywords: method; segmentation; threshold gradient; image segmentation ... See more keywords

Survival Analysis with High-Dimensional Omics Data Using a Threshold Gradient Descent Regularization-Based Neural Network Approach

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recommendations! Published in 2022 at "Genes"

DOI: 10.3390/genes13091674

Abstract: Analysis of data with a censored survival response and high-dimensional omics measurements is now common. Most of the existing analyses are based on specific (semi)parametric models, in particular the Cox model. Such analyses may be… read more here.

Keywords: gradient descent; survival; dimensional omics; analysis ... See more keywords