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   Articles with "probabilistic model" as a keyword



A powerful probabilistic model for noise analysis in medical images

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recommendations! 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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recommendations! 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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recommendations! 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

Probabilistic model for the annual number of storm overflow discharges in a stormwater drainage system

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recommendations! 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

A discrete probabilistic model yielding multidimensional q − Gaussians in the thermodynamic limit for specific parameter values

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recommendations! Published in 2024 at "Physica Scripta"

DOI: 10.1088/1402-4896/ad32fa

Abstract: We show that the N → ∞ limiting probability distributions (with N being the number of random variables to be summed) of a particular case belonging to a family of d − dimensional scale-invariant probabilistic… read more here.

Keywords: yielding multidimensional; discrete probabilistic; parameter; probabilistic model ... See more keywords

Robust detection of natural selection using a probabilistic model of tree imbalance.

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recommendations! 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

Self-Augmentation Based on Noise-Robust Probabilistic Model for Noisy Labels

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recommendations! 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

Security Analysis of a Digital Twin Framework Using Probabilistic Model Checking

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recommendations! 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

What If VEC Is Moving: Probabilistic Model of Task Execution Through Offloading in Vehicular Computing Environments

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3476679

Abstract: Various computing approaches within vehicular networks, such as vehicular edge computing (VEC) and cloud computing, have been suggested to facilitate task offloading, aiming to improve user satisfaction. The features of vehicular networks, including the rapid… read more here.

Keywords: task; vehicle; probabilistic model; service ... See more keywords

Probabilistic Model for Studying Blackouts in Power Networks

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recommendations! 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

A Denoising Diffusion Probabilistic Model-Based Digital Twinning of ISAC MIMO Channel

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recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2024.3495212

Abstract: Deep learning (DL) techniques have been extensively utilized to tackle challenges in the field of wireless communication, overcoming the limitations of traditional methods. However, training DL algorithms often requires large amounts of data, which is… read more here.

Keywords: diffusion probabilistic; probabilistic model; based digital; mimo channel ... See more keywords