Results 91 to 100 of about 259,715 (355)
A DENOISING OF BIOMEDICAL IMAGES [PDF]
Abstract. Today imaging science has an important development and has many applications in different fields of life. The researched object of imaging science is digital image that can be created by many digital devices. Biomedical image is one of types of digital images. One of the limits of using digital devices to create digital images is noise. Noise
Dang N. H. Thanh, S. D. Dvoenko
openaire +4 more sources
Subgrain and Cavity Development during Creep of Al‐3.85%Mg
Al‐3.85%Mg does form subgrains if crept at very high strains. This fact allows the unification of the creep description in two different alloys such as pure Al and Al–Mg alloys. It is classically considered that the creep mechanisms for type M (e.g., pure Al) and type A alloys (e.g., Al–Mg alloys) are different.
Augusta Isaac +6 more
wiley +1 more source
Edge-aware image denoising algorithm
The key of image denoising algorithms is to preserve the details of the original image while denoising the noise in the image. The existing algorithms use the external information to better preserve the details of the image, but the use of external ...
Xiangning Zhang, Yan Yang, Lening Lin
doaj +1 more source
On the use of singular value decomposition for QRS detection and ECG denoising
QRS detection is a pre-processing step to detect the heartbeat in an electrocardiogram (ECG) for subsequent rhythm classification. However, measured ECG waveforms may differ as a result of intrinsic variability or due to artefacts or noise.
Schanze Thomas
doaj +1 more source
A Novel Denoising Method for Retaining Data Characteristics Brought from Washing Aeroengines
Airlines evaluate the energy-saving and emission reduction effect of washing aeroengines by analyzing the exhaust gas temperature margin (EGTM) data of aeroengines so as to formulate a reasonable washing schedule.
Zhiqi Yan +3 more
doaj +1 more source
From denoising diffusions to denoising Markov models
Abstract Denoising diffusions are state-of-the-art generative models exhibiting remarkable empirical performance. They work by diffusing the data distribution into a Gaussian distribution and then learning to reverse this noising process to obtain synthetic datapoints.
Joe Benton +4 more
openaire +2 more sources
PET image denoising based on denoising diffusion probabilistic model
8 ...
Kuang Gong +4 more
openaire +3 more sources
Denoising Diffusion Recommender Model [PDF]
Recommender systems often grapple with noisy implicit feedback. Most studies alleviate the noise issues from data cleaning perspective such as data resampling and reweighting, but they are constrained by heuristic assumptions. Another denoising avenue is
Jujia Zhao +5 more
semanticscholar +1 more source
Scanning transmission electron microscopy imaging techniques are an essential tool to document dynamic developments, such as precipitation in aluminum alloys, during in situ heating experiments using transmission electron microscopy. However, in many cases, chemical information is required to interpret complex nanoscale processes.
Evelin Fisslthaler +4 more
wiley +1 more source
Real‐time imaging and energy‐dispersive diffraction during solidification of Sn‐Bi alloy interconnect for electronic packaging applications are studied. Sn‐Bi solder alloys have generated significant interest in recent times due to their potential use in electronic packaging.
Amey Luktuke +3 more
wiley +1 more source

