Articles with "probabilistic model" as a keyword



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A powerful probabilistic model for noise analysis in medical images

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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… read more here.

Keywords: model noise; noise; powerful probabilistic; medical images ... See more keywords
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A probabilistic model for the numerical solution of initial value problems

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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… read more here.

Keywords: model numerical; numerical solution; value; initial value ... See more keywords
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Probabilistic model for estimating Listeria monocytogenes concentration in cooked meat products from presence/absence data.

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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)… read more here.

Keywords: meat products; cooked meat; meat; listeria monocytogenes ... See more keywords
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Probabilistic model for the annual number of storm overflow discharges in a stormwater drainage system

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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,… read more here.

Keywords: model; number storm; annual number; storm overflow ... See more keywords
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Robust detection of natural selection using a probabilistic model of tree imbalance.

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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… read more here.

Keywords: tree imbalance; model tree; probabilistic model; selection ... See more keywords
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Self-Augmentation Based on Noise-Robust Probabilistic Model for Noisy Labels

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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… read more here.

Keywords: noisy labels; small loss; probabilistic model; model ... See more keywords
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Security Analysis of a Digital Twin Framework Using Probabilistic Model Checking

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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… read more here.

Keywords: system; framework; probabilistic model; security ... See more keywords
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Probabilistic Model for Studying Blackouts in Power Networks

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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.… read more here.

Keywords: power; model; power networks; blackouts power ... See more keywords
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SAR Despeckling Using a Denoising Diffusion Probabilistic Model

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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… read more here.

Keywords: noise; diffusion probabilistic; denoising diffusion; probabilistic model ... See more keywords
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Quantitative Verification for Monitoring Event-Streaming Systems

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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… read more here.

Keywords: event streaming; streaming systems; model; verification ... See more keywords
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A Probabilistic Model for Driving-Style-Recognition-Enabled Driver Steering Behaviors

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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,… read more here.

Keywords: steering model; probabilistic model; model; driving style ... See more keywords