Results 61 to 70 of about 2,969,604 (339)
An Experimental Method for Bio-Signal Denoising Using Unconventional Sensors
Sensors, 2023 In bio-signal denoising, current methods reported in the literature consider purely simulated environments, requiring high computational powers and signal processing algorithms that may introduce signal distortion. To achieve an efficient noise reduction,
Rodrigo Aviles-Espinosa +2 more
doaj +1 more source
Molecular Oncology, EarlyView.This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris +10 more
wiley +1 more source
Image noise reduction based on applying adaptive thresholding onto PDEs methods
The Journal of Engineering, 2017 In this study the authors present a novel image denoising method based on applying adaptive thresholding on partial differential (PDEs) methods. In the proposed method the authors utilise the adaptive thresholding to blend the total variation filter with
Ali Abdullah Yahya +4 more
doaj +1 more source
Convolutional encoder decoder network for the removal of coherent seismic noise [PDF]
, 2021 Yash Agarwal, Sarah Greer
openalex +1 more source
Molecular Oncology, EarlyView.To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
An Approach to Improve the Quality of Infrared Images of Vein-Patterns
Sensors, 2011 This study develops an approach to improve the quality of infrared (IR) images of vein-patterns, which usually have noise, low contrast, low brightness and small objects of interest, thus requiring preprocessing to improve their quality.
Chih-Lung Lin
doaj +1 more source
Image Noise Elimination Using Evolutionary Algorithm [PDF]
Engineering and Technology Journal, 2005 Evolutionary algorithms like Genetic Algorithms ( GA ) and Genetic programming ( GP ) are domain - independent problem solving approaches in which computer programs are evolved to solve , or approximately solve , problems .
Matheel Abdulmunim
doaj +1 more source
IEEE Access, 2021 Noise reduction is important for X-ray images because it can reduce radiation exposure to patients. X-ray image noise has a Poisson-Gaussian distribution, and recently, noise analysis and removal in multiscale transformations have been widely implemented.
Sangyoon Lee, Moon Gi Kang
doaj +1 more source
Removing the Noise from Chaos Plus Noise [PDF]
, 2001 The problem of extracting a “signal” xn generated by a dynamical system from a time series yn = xn + en, where en is an observational error, is considered. It is shown that consistent signal extraction is impossible when the errors are distributed according to a density with unbounded support, and the underlying dynamical system admits bomoclinic pairs.
openaire +1 more source
FEBS Open Bio, EarlyView.Induction of diabetes in three different mouse strains uniformly resulted in an increase in TNAP activity and a reduction in pyrophosphate (PPi) in the circulation. Inhibition of TNAP restored plasma PPi. Diabetes‐induced calcification in the media layer of the aorta was detected only in the Abcc6−/− strain, which is predisposed to ectopic ...
Krisztina Fülöp +13 more
wiley +1 more source