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Refined by: Journal Title: Journal Of Physics: Conference Series remove
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1
A Novel Method for Reconstructing Dynamic Bayesian Network
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A Novel Method for Reconstructing Dynamic Bayesian Network

Journal of physics. Conference series, 2019-08, Vol.1302 (3), p.32026 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1302/3/032026

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2
Operational Effectiveness Evaluation of UAV Cluster Based on Bayesian Networks
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Operational Effectiveness Evaluation of UAV Cluster Based on Bayesian Networks

Journal of physics. Conference series, 2022-06, Vol.2282 (1), p.12001 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2282/1/012001

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3
The Magnetotellurics Inversion with a Tree Based Bayesian Framework
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The Magnetotellurics Inversion with a Tree Based Bayesian Framework

Journal of physics. Conference series, 2023-12, Vol.2651 (1), p.12064 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2651/1/012064

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4
Hierarchical Bayesian Modelling in Small Area for Estimating Binary Data
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Hierarchical Bayesian Modelling in Small Area for Estimating Binary Data

Journal of physics. Conference series, 2020-05, Vol.1554 (1), p.12049 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1554/1/012049

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5
Bayesian bridge regression for ordinal models with a practical application
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Bayesian bridge regression for ordinal models with a practical application

Journal of physics. Conference series, 2019-09, Vol.1294 (3), p.32030 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1294/3/032030

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6
Weighted Random Forest Algorithm Based on Bayesian Algorithm
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Weighted Random Forest Algorithm Based on Bayesian Algorithm

Journal of physics. Conference series, 2021-05, Vol.1924 (1), p.12006 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1924/1/012006

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7
State Evaluation of Hoist Head Sheave Based on Fault Tree and Bayesian Network
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State Evaluation of Hoist Head Sheave Based on Fault Tree and Bayesian Network

Journal of physics. Conference series, 2022-10, Vol.2355 (1), p.12010 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2355/1/012010

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8
Surrogate-based Bayesian inference of transverse beam distribution for non-stationary accelerator systems
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Surrogate-based Bayesian inference of transverse beam distribution for non-stationary accelerator systems

Journal of physics. Conference series, 2023-01, Vol.2420 (1), p.12066 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2420/1/012066

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9
Research on Condition Evaluation Algorithm of Oil-immersed Transformer Based on Naive Bayes
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Research on Condition Evaluation Algorithm of Oil-immersed Transformer Based on Naive Bayes

Journal of physics. Conference series, 2022-02, Vol.2196 (1), p.12021 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2196/1/012021

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10
Bayesian Estimation of Stress-Strength P(T < X < Z) for Dagum Distribution
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Article
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Bayesian Estimation of Stress-Strength P(T < X < Z) for Dagum Distribution

Journal of physics. Conference series, 2021-07, Vol.1963 (1), p.12041 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1963/1/012041

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11
Gaussian Process-based Bayesian Optimization and Shape Transformation of Benchmark Functions
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Article
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Gaussian Process-based Bayesian Optimization and Shape Transformation of Benchmark Functions

Journal of physics. Conference series, 2024-02, Vol.2701 (1), p.012022 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2701/1/012022

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12
Classification of Corn Diseases using Random Forest, Neural Network, and Naive Bayes Methods
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Classification of Corn Diseases using Random Forest, Neural Network, and Naive Bayes Methods

Journal of physics. Conference series, 2022-12, Vol.2406 (1), p.12023 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2406/1/012023

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13
Bayesian Method for Inverse Scattering Problem of Interior Cavity with Phaseless Data
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Article
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Bayesian Method for Inverse Scattering Problem of Interior Cavity with Phaseless Data

Journal of physics. Conference series, 2023-03, Vol.2470 (1), p.12007 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2470/1/012007

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14
The approaches for the two parameters of the Weibull Distribution
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Article
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The approaches for the two parameters of the Weibull Distribution

Journal of physics. Conference series, 2023-01, Vol.2421 (1), p.12043 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2421/1/012043

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15
Legal requirements for NAWIs: are they good enough for customers' protection?
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Article
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Legal requirements for NAWIs: are they good enough for customers' protection?

Journal of physics. Conference series, 2018-08, Vol.1065 (8), p.82002 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2018. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1065/8/082002

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16
Experimental Research on Damage Detection Based on Time Domain Data and Bayesian Fusion
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Article
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Experimental Research on Damage Detection Based on Time Domain Data and Bayesian Fusion

Journal of physics. Conference series, 2022-12, Vol.2381 (1), p.012057 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2381/1/012057

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17
Risks of false decisions on conformity of a sausage with a mass balance constraint
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Article
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Risks of false decisions on conformity of a sausage with a mass balance constraint

Journal of physics. Conference series, 2022-03, Vol.2192 (1), p.12021 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2192/1/012021

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18
Parameter estimation for the Lomax distribution using the E-Bayesian method
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Article
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Parameter estimation for the Lomax distribution using the E-Bayesian method

Journal of physics. Conference series, 2018-11, Vol.1108 (1), p.12081 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2018. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1108/1/012081

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19
Target Threat Assessment Based on Dynamic Bayesian Network
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Article
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Target Threat Assessment Based on Dynamic Bayesian Network

Journal of physics. Conference series, 2019-08, Vol.1302 (4), p.42023 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1302/4/042023

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20
Effects of Climatic Factors on Dengue Incidence: A Comparison of Bayesian Spatio-Temporal Models
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Article
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Effects of Climatic Factors on Dengue Incidence: A Comparison of Bayesian Spatio-Temporal Models

Journal of physics. Conference series, 2021-03, Vol.1863 (1), p.12050 [Peer Reviewed Journal]

2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1863/1/012050

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