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Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22838
Abstract: The statistical properties in various medical images demonstrate uncorrelated noise fluctuations. The signal noise fluctuations are generally due to physical imaging processes and have nothing to do with the tissue textures. Adding the noise types…
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Keywords:
model noise;
noise;
powerful probabilistic;
medical images ... See more keywords
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Published in 2019 at "Statistics and Computing"
DOI: 10.1007/s11222-017-9798-7
Abstract: We study connections between ordinary differential equation (ODE) solvers and probabilistic regression methods in statistics. We provide a new view of probabilistic ODE solvers as active inference agents operating on stochastic differential equation models that…
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Keywords:
model numerical;
numerical solution;
value;
initial value ... See more keywords
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Published in 2020 at "Food research international"
DOI: 10.1016/j.foodres.2020.109040
Abstract: A quantitative probabilistic model was developed to estimate the concentration of Listeria monocytogenes in cooked meat products based on presence/absence data and an assumed zero-inflated distribution, i.e. zero-inflated Poisson (ZIP) or zero-inflated Poisson lognormal (ZIPL)…
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Keywords:
meat products;
cooked meat;
meat;
listeria monocytogenes ... See more keywords
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Published in 2017 at "Urban Water Journal"
DOI: 10.1080/1573062x.2016.1223860
Abstract: Abstract The paper presents an attempt to develop a probabilistic model for predicting an annual number of storm overflow discharges. Forecasting the occurrence of an overflow discharge event involved the application of the logistic regression,…
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Keywords:
model;
number storm;
annual number;
storm overflow ... See more keywords
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Published in 2022 at "Genetics"
DOI: 10.1093/genetics/iyac009
Abstract: Neutrality tests such as Tajima's D (Tajima 1989) and Fay and Wu's H (Fay and Wu 2000) are standard implements in the population genetics toolbox. One of their most common uses is to scan the…
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Keywords:
tree imbalance;
model tree;
probabilistic model;
selection ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3219810
Abstract: Learning deep neural networks from noisy labels is challenging, because high-capacity networks attempt to describe data even with noisy class labels. In this study, we propose a self-augmentation method without additional parameters, which handles noisy…
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Keywords:
noisy labels;
small loss;
probabilistic model;
model ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3257171
Abstract: Digital Twins (DTs) have been gaining popularity in various applications, such as smart manufacturing, smart energy, smart mobility, and smart healthcare. In simple terms, DT is described as a virtual replica of a given physical…
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Keywords:
system;
framework;
probabilistic model;
security ... See more keywords
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Published in 2017 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2017.2696242
Abstract: We describe a model which may be useful for studying blackouts in power networks. The model is a combination of the admittance model of the network and the probabilistic model of failures of its components.…
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Keywords:
power;
model;
power networks;
blackouts power ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3270799
Abstract: Speckle is a type of multiplicative noise that affects all coherent imaging modalities including synthetic aperture radar (SAR) images. The presence of speckle degrades the image quality and can adversely affect the performance of SAR…
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Keywords:
noise;
diffusion probabilistic;
denoising diffusion;
probabilistic model ... See more keywords
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Published in 2020 at "IEEE Transactions on Software Engineering"
DOI: 10.1109/tse.2020.2996033
Abstract: High-performance data streaming technologies are increasingly adopted in IT companies to support the integration of heterogeneous and possibly distributed applications. Compared with the traditional message queuing middleware, a streaming platform enables the implementation of event-streaming…
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Keywords:
event streaming;
streaming systems;
model;
verification ... See more keywords
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Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2020.3037229
Abstract: This article presents a framework to determine driving style and design a driver steering model considering driver characteristics. First, principal component analysis (PCA) and $K$ -means clustering are utilized to classify 30 participants into cautious,…
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Keywords:
steering model;
probabilistic model;
model;
driving style ... See more keywords