Sign Up to like & get
recommendations!
1
Published in 2021 at "Geophysical Research Letters"
DOI: 10.1029/2021gl095479
Abstract: Katabatic flows are notoriously difficult to model for a variety of reasons. Notably, the assumptions underpinning Monin‐Obukhov similarity theory (MOST) are inherently violated by the sloping terrain, causing the traditional flux‐gradient relations used in numerical…
read more here.
Keywords:
function katabatic;
similarity;
katabatic flows;
local similarity ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2024 at "Physics of Fluids"
DOI: 10.1063/5.0176848
Abstract: A variant of the local similarity theory is considered, assuming a priori specification of two basic dimensional parameters: the second moment of vertical velocity and the “spectral” Prandtl mixing length. Such selection of basic parameters…
read more here.
Keywords:
prandtl;
air;
water;
local similarity ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2025 at "Cogent Engineering"
DOI: 10.1080/23311916.2025.2582941
Abstract: Abstract This study investigates the magnetohydrodynamic effects on the flow of a power-law ferrofluid over an expanding, permeable wedge, focusing on enhancing thermal efficiency using artificial intelligence-based analyses and local similarity techniques. Motivated by experimental…
read more here.
Keywords:
local similarity;
wedge;
power law;
flow power ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3013733
Abstract: Neighborhood-based algorithms are some of the most promising memory-based collaborative filtering approaches for recommender systems. Many of these algorithms rely on a global similarity measure to select the most similar neighbors for rating prediction. However,…
read more here.
Keywords:
based collaborative;
neighborhood based;
similarity;
collaborative filtering ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3040760
Abstract: A two-stage denoising algorithm based on local similarity is proposed to process lowly and moderate corrupted images with random-valued impulse noise in this paper. In the noise detection stage, the pixel to be detected is…
read more here.
Keywords:
impulse noise;
stage;
local similarity;
noise ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3272905
Abstract: Improving the signal-to-noise ratio and suppressing random noise in seismic data is critical for high-precision processing. Although deep learning-based algorithms have gained popularity as denoising methods, they suffer from poor generalization ability, resulting in high…
read more here.
Keywords:
local similarity;
noise;
random noise;
similarity replacement ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2017 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2015.2407393
Abstract: In recent years, a remarkable amount of protein-protein interaction (PPI) data are being available owing to the advance made in experimental high-throughput technologies. However, the experimentally detected PPI data usually contain a large amount of…
read more here.
Keywords:
protein interaction;
similarity preserving;
protein protein;
local similarity ... See more keywords