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1
An automated multi-layer perceptron discriminative neural network based on Bayesian optimization achieves high-precision one-source single-snapshot direction-of-arrival estimation
An automated multi-layer perceptron discriminative neural network based on Bayesian optimization achieves high-precision one-source single-snapshot direction-of-arrival estimation
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An automated multi-layer perceptron discriminative neural network based on Bayesian optimization achieves high-precision one-source single-snapshot direction-of-arrival estimation

Scientific reports, 2024-05, Vol.14 (1), p.10300-10300 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-60798-w ;PMID: 38704397

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2
Bayesian Methodologies with pyhf
Bayesian Methodologies with pyhf
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Bayesian Methodologies with pyhf

EPJ Web of Conferences, 2024-01, Vol.295, p.06004 [Peer Reviewed Journal]

2024. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2101-6275 ;EISSN: 2100-014X ;DOI: 10.1051/epjconf/202429506004

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3
Evaluating distributed-learning on real-world obstetrics data: comparing distributed, centralized and local models
Evaluating distributed-learning on real-world obstetrics data: comparing distributed, centralized and local models
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Evaluating distributed-learning on real-world obstetrics data: comparing distributed, centralized and local models

Scientific reports, 2024-05, Vol.14 (1), p.11128-11128 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2024 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-61371-1 ;PMID: 38750112

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4
Research for transformer operation state prediction method based on BO-CNN-GRU
Research for transformer operation state prediction method based on BO-CNN-GRU
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Research for transformer operation state prediction method based on BO-CNN-GRU

Journal of physics. Conference series, 2024-05, Vol.2770 (1), p.012013 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd. This work is published under https://creativecommons.org/licenses/by/4.0/ (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: 10.1088/1742-6596/2770/1/012013

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5
Reliability analysis of diesel engine cooling system based on improved Bayesian network
Reliability analysis of diesel engine cooling system based on improved Bayesian network
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Reliability analysis of diesel engine cooling system based on improved Bayesian network

Journal of physics. Conference series, 2024-05, Vol.2761 (1), p.012025 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd. This work is published under https://creativecommons.org/licenses/by/4.0/ (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: 10.1088/1742-6596/2761/1/012025

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6
Experimental demonstration of an on-chip p-bit core based on stochastic magnetic tunnel junctions and 2D MoS2 transistors
Experimental demonstration of an on-chip p-bit core based on stochastic magnetic tunnel junctions and 2D MoS2 transistors
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Experimental demonstration of an on-chip p-bit core based on stochastic magnetic tunnel junctions and 2D MoS2 transistors

Nature communications, 2024-05, Vol.15 (1), p.4098-4098 [Peer Reviewed Journal]

The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2024 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-024-48152-0 ;PMID: 38750065

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7
Comparing researchers’ degree of dichotomous thinking using frequentist versus Bayesian null hypothesis testing
Comparing researchers’ degree of dichotomous thinking using frequentist versus Bayesian null hypothesis testing
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Comparing researchers’ degree of dichotomous thinking using frequentist versus Bayesian null hypothesis testing

Scientific reports, 2024-05, Vol.14 (1), p.12120-12120 [Peer Reviewed Journal]

The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2024 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-62043-w ;PMID: 38802451

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8
Novel gene-specific Bayesian Gaussian mixture model to predict the missense variants pathogenicity of Sanfilippo syndrome
Novel gene-specific Bayesian Gaussian mixture model to predict the missense variants pathogenicity of Sanfilippo syndrome
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Novel gene-specific Bayesian Gaussian mixture model to predict the missense variants pathogenicity of Sanfilippo syndrome

Scientific reports, 2024-05, Vol.14 (1), p.12148-12148 [Peer Reviewed Journal]

The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2024 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-62352-0 ;PMID: 38802532

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9
Superlative mechanical energy absorbing efficiency discovered through self-driving lab-human partnership
Superlative mechanical energy absorbing efficiency discovered through self-driving lab-human partnership
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Superlative mechanical energy absorbing efficiency discovered through self-driving lab-human partnership

Nature communications, 2024-05, Vol.15 (1), p.4290-4290 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2024 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-024-48534-4 ;PMID: 38773093

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10
Serial monitoring of the audiogram in hearing conservation using Gaussian processes
Serial monitoring of the audiogram in hearing conservation using Gaussian processes
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Serial monitoring of the audiogram in hearing conservation using Gaussian processes

Frontiers in audiology and otology, 2024-05, Vol.2 [Peer Reviewed Journal]

EISSN: 2813-6055 ;DOI: 10.3389/fauot.2024.1389116

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11
Combining Bayesian optimization and automation to simultaneously optimize reaction conditions and routes
Combining Bayesian optimization and automation to simultaneously optimize reaction conditions and routes
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Combining Bayesian optimization and automation to simultaneously optimize reaction conditions and routes

Chemical science (Cambridge), 2024-05, Vol.15 (2), p.7732-7741 [Peer Reviewed Journal]

This journal is © The Royal Society of Chemistry. ;Copyright Royal Society of Chemistry 2024 ;This journal is © The Royal Society of Chemistry 2024 The Royal Society of Chemistry ;ISSN: 2041-6520 ;EISSN: 2041-6539 ;DOI: 10.1039/d3sc05607d ;PMID: 38784737

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12
Bayesian Synthesis of Astrometric Wobble and Total Light Curves in Close Binary Supermassive Black Holes
Bayesian Synthesis of Astrometric Wobble and Total Light Curves in Close Binary Supermassive Black Holes
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Bayesian Synthesis of Astrometric Wobble and Total Light Curves in Close Binary Supermassive Black Holes

The Astrophysical journal, 2024-05, Vol.967 (1), p.30 [Peer Reviewed Journal]

2024. The Author(s). Published by the American Astronomical Society. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0004-637X ;EISSN: 1538-4357 ;DOI: 10.3847/1538-4357/ad3729

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13
Investigating Mass Segregation of the Binary Stars in the Open Cluster NGC 6819
Investigating Mass Segregation of the Binary Stars in the Open Cluster NGC 6819
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Investigating Mass Segregation of the Binary Stars in the Open Cluster NGC 6819

The Astrophysical journal, 2024-05, Vol.967 (1), p.44 [Peer Reviewed Journal]

2024. The Author(s). Published by the American Astronomical Society. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0004-637X ;EISSN: 1538-4357 ;DOI: 10.3847/1538-4357/ad39c6

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14
Bayesian Survey of the Dense Matter Equation of State Built upon Skyrme Effective Interactions
Bayesian Survey of the Dense Matter Equation of State Built upon Skyrme Effective Interactions
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Bayesian Survey of the Dense Matter Equation of State Built upon Skyrme Effective Interactions

The Astrophysical journal, 2024-05, Vol.966 (2), p.216 [Peer Reviewed Journal]

2024. The Author(s). Published by the American Astronomical Society. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0004-637X ;EISSN: 1538-4357 ;DOI: 10.3847/1538-4357/ad2f9b

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15
Low-index mesoscopic surface reconstructions of Au surfaces using Bayesian force fields
Low-index mesoscopic surface reconstructions of Au surfaces using Bayesian force fields
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Low-index mesoscopic surface reconstructions of Au surfaces using Bayesian force fields

Nature communications, 2024-05, Vol.15 (1), p.3790-3790 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2024 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-024-48192-6 ;PMID: 38710679

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16
Variational Bayes and non-Bayesian Updating
Variational Bayes and non-Bayesian Updating
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Variational Bayes and non-Bayesian Updating

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.08796

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17
The Perils of Overreaction
The Perils of Overreaction
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The Perils of Overreaction

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.08087

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18
Cryptic or underworked? Taxonomic revision of the Antistrophus rufus species complex
Cryptic or underworked? Taxonomic revision of the Antistrophus rufus species complex
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Cryptic or underworked? Taxonomic revision of the Antistrophus rufus species complex

Journal of Hymenoptera research, 2024-05, Vol.97 (1102), p.399-439 [Peer Reviewed Journal]

COPYRIGHT 2024 Pensoft Publishers ;2024. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1070-9428 ;EISSN: 1314-2607 ;DOI: 10.3897/jhr.97.121918

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19
Uncertainty quantification in multivariable regression for material property prediction with Bayesian neural networks
Uncertainty quantification in multivariable regression for material property prediction with Bayesian neural networks
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Uncertainty quantification in multivariable regression for material property prediction with Bayesian neural networks

Scientific reports, 2024-05, Vol.14 (1), p.10543-10543 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2024 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-61189-x ;PMID: 38719870

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20
Reservoir temperature prediction based on characterization of water chemistry data-case study of western Anatolia, Turkey
Reservoir temperature prediction based on characterization of water chemistry data-case study of western Anatolia, Turkey
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Reservoir temperature prediction based on characterization of water chemistry data-case study of western Anatolia, Turkey

Scientific reports, 2024-05, Vol.14 (1), p.10339-10339 [Peer Reviewed Journal]

2024. The Author(s). ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2024 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-024-59409-5 ;PMID: 38710719

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