Articles with "using bayesian" as a keyword



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De-noising of ultrasound image using Bayesian approached heavy-tailed Cauchy distribution

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Published in 2017 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-017-5221-9

Abstract: Medical ultrasound images are used in clinical diagnosis and generally degraded by speckle noise. This makes difficulty in automatic interpretation of diseases in ultrasound images. This paper presents a speckle removal algorithm by modeling the… read more here.

Keywords: wavelet coefficients; noising ultrasound; using bayesian; image using ... See more keywords
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Abatement of atmospheric pollutant emissions with autonomous shipping in maritime transportation using Bayesian probabilistic forecasting

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Published in 2021 at "Atmospheric Environment"

DOI: 10.1016/j.atmosenv.2021.118593

Abstract: Abstract This study examines the potential abatement of environmental pollutant emissions with the adoption of autonomous vessels in future maritime transportation using Bayesian probabilistic forecasting algorithm. The emission reductions can be attributed to the related… read more here.

Keywords: pollutant emissions; probabilistic forecasting; using bayesian; maritime transportation ... See more keywords
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Using Bayesian networks for environmental health risk assessment.

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Published in 2021 at "Environmental research"

DOI: 10.1016/j.envres.2021.112059

Abstract: The study investigated the potential relationships between air pollution, socio-economy, and proven pathologies (e.g., respiratory, cardiovascular) within an industrial area in Southern France (Etang de Berre), gathering steel industries, oil refineries, shipping, road traffic and… read more here.

Keywords: networks environmental; years old; bayesian networks; using bayesian ... See more keywords
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Rethinking segmentation within the psychological continuum model using Bayesian analysis

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Published in 2020 at "Sport Management Review"

DOI: 10.1016/j.smr.2019.09.003

Abstract: Abstract The Psychological Continuum Model (PCM) represents a theoretical framework in sport management to understand why and how consumer attitudes form and change. Prior researchers developed an algorithmic staging procedure using psychological involvement to operationalize… read more here.

Keywords: segmentation; psychological continuum; continuum model; using bayesian ... See more keywords
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Using Bayesian hierarchical modelling to capture cyanobacteria dynamics in Northern European lakes.

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Published in 2020 at "Water research"

DOI: 10.1016/j.watres.2020.116356

Abstract: Cyanobacteria blooms in lakes and reservoirs currently threaten water security and affect the ecosystem services provided by these freshwater ecosystems, such as drinking water and recreational use. Climate change is expected to further exacerbate the… read more here.

Keywords: european lakes; northern european; water; using bayesian ... See more keywords
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Substrate Specific Closed-loop Optimization of Carbohydrate Protective Group Chemistry Using Bayesian Optimization and Transfer Learning

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Published in 2023 at "Chemical Science"

DOI: 10.1039/d3sc01261a

Abstract: A new way of performing reaction optimization within carbohydrate chemistry is presented. This is done by performing closed-loop optimization of regioselective benzoylation of unprotected glycosides using Bayesian optimization. Both 6-O-monobenzoylations and... read more here.

Keywords: using bayesian; bayesian optimization; optimization; loop optimization ... See more keywords
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Inferring Atmospheric Release Characteristics in a Large Computer Experiment Using Bayesian Adaptive Splines

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Published in 2019 at "Journal of the American Statistical Association"

DOI: 10.1080/01621459.2018.1562933

Abstract: Abstract An atmospheric release of hazardous material, whether accidental or intentional, can be catastrophic for those in the path of the plume. Predicting the path of a plume based on characteristics of the release (location,… read more here.

Keywords: adaptive splines; atmospheric release; using bayesian; release characteristics ... See more keywords
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Identifying Mixtures of Mixtures Using Bayesian Estimation

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Published in 2017 at "Journal of Computational and Graphical Statistics"

DOI: 10.1080/10618600.2016.1200472

Abstract: ABSTRACT The use of a finite mixture of normal distributions in model-based clustering allows us to capture non-Gaussian data clusters. However, identifying the clusters from the normal components is challenging and in general either achieved… read more here.

Keywords: identifying mixtures; mixtures mixtures; bayesian estimation; using bayesian ... See more keywords
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Investing in Mutual Funds Using the Bayesian Framework: Evidence from China

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Published in 2018 at "Emerging Markets Finance and Trade"

DOI: 10.1080/1540496x.2018.1476234

Abstract: ABSTRACT We explore how to invest in the Chinese mutual fund market based on the Bayesian method. We extend the portfolio construction method by integrating additional information, such as nonbenchmark assets and longer-period historical data,… read more here.

Keywords: portfolio; method; evidence; china ... See more keywords
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Modelling the invasion of human small intestinal epithelial‐like cells by Salmonella enterica Typhimurium and Listeria monocytogenes using Bayesian inference

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Published in 2022 at "Letters in Applied Microbiology"

DOI: 10.1111/lam.13738

Abstract: To develop a mechanistic bacterial dose–response model, based on the concept of Key Events Dose–Response Framework (KEDRF), this study aimed to investigate the invasion of intestinal model cells (Caco‐2) by Salmonella Typhimurium and Listeria monocytogenes… read more here.

Keywords: using bayesian; bayesian inference; invasion; model ... See more keywords
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Using Bayesian Networks to Investigate Psychological Constructs: The Case of Empathy.

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Published in 2022 at "Psychological reports"

DOI: 10.1177/00332941221146711

Abstract: Network analysis is an emerging field for the study of psychopathology that considers constructs as arising from the interactions among their constituents. Pairwise effects among psychological components are often investigated by using this framework. Few… read more here.

Keywords: using bayesian; psychological constructs; bayesian networks; case ... See more keywords