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1
Toward a sociology of machine learning explainability: Human–machine interaction in deep neural network-based automated trading
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Toward a sociology of machine learning explainability: Human–machine interaction in deep neural network-based automated trading

Big data & society, 2022-07, Vol.9 (2), p.205395172211113 [Peer Reviewed Journal]

The Author(s) 2022 ;The Author(s) 2022. This work is licensed under the Creative Commons Attribution – Non-Commercial License https://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2053-9517 ;EISSN: 2053-9517 ;DOI: 10.1177/20539517221111361

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2
Hybrid ECBO–ANN Algorithm for Shear Strength of Partially Grouted Masonry Walls
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Hybrid ECBO–ANN Algorithm for Shear Strength of Partially Grouted Masonry Walls

Periodica polytechnica. Civil engineering. Bauingenieurwesen, 2023-10, Vol.67 (4), p.1176 [Peer Reviewed Journal]

Copyright Periodica Polytechnica, Budapest University of Technology and Economics 2023 ;ISSN: 0553-6626 ;EISSN: 1587-3773 ;DOI: 10.3311/PPci.22653

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3
Applicability of Neural Networks for the Fermentation of Propionic Acid by Propionibacterium acidipropionici
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Applicability of Neural Networks for the Fermentation of Propionic Acid by Propionibacterium acidipropionici

Periodica polytechnica. Chemical engineering., 2022-01, Vol.66 (1), p.10-19 [Peer Reviewed Journal]

Copyright Periodica Polytechnica, Budapest University of Technology and Economics 2022 ;ISSN: 0324-5853 ;EISSN: 1587-3765 ;DOI: 10.3311/PPch.18283

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4
Crash Prediction Models and Methodological Issues
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Article
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Crash Prediction Models and Methodological Issues

Periodica polytechnica. Transportation engineering, 2022-07, Vol.50 (3), p.267-272 [Peer Reviewed Journal]

Copyright Periodica Polytechnica, Budapest University of Technology and Economics 2022 ;ISSN: 0303-7800 ;EISSN: 1587-3811 ;DOI: 10.3311/PPtr.16295

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5
Using Artificial Neural Networks Approach to Estimate Compressive Strength for Rubberized Concrete
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Article
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Using Artificial Neural Networks Approach to Estimate Compressive Strength for Rubberized Concrete

Periodica polytechnica. Civil engineering. Bauingenieurwesen, 2018-01, Vol.62 (4), p.858 [Peer Reviewed Journal]

Copyright Periodica Polytechnica, Budapest University of Technology and Economics 2018 ;ISSN: 0553-6626 ;EISSN: 1587-3773 ;DOI: 10.3311/PPci.11928

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6
Robust Vibration Output-only Structural Health Monitoring Framework Based on Multi-modal Feature Fusion and Self-learning
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Robust Vibration Output-only Structural Health Monitoring Framework Based on Multi-modal Feature Fusion and Self-learning

Periodica polytechnica. Civil engineering. Bauingenieurwesen, 2023-01, Vol.67 (2), p.416 [Peer Reviewed Journal]

Copyright Periodica Polytechnica, Budapest University of Technology and Economics 2023 ;ISSN: 0553-6626 ;EISSN: 1587-3773 ;DOI: 10.3311/PPci.21756

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7
The Effect of Machining Parameters and Optimization of Temperature Rise in Turning Operation of Aluminium-6061 Using RSM and Artificial Neural Network
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Article
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The Effect of Machining Parameters and Optimization of Temperature Rise in Turning Operation of Aluminium-6061 Using RSM and Artificial Neural Network

Periodica polytechnica. Mechanical engineering - Mas̆inostroenie, 2021-04, Vol.65 (2), p.141-150 [Peer Reviewed Journal]

Copyright Periodica Polytechnica, Budapest University of Technology and Economics 2021 ;ISSN: 0324-6051 ;EISSN: 1587-379X ;DOI: 10.3311/PPme.16625

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8
Forecasting of Wind Induced Pressure on Setback Building Using Artificial Neural Network
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Article
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Forecasting of Wind Induced Pressure on Setback Building Using Artificial Neural Network

Periodica polytechnica. Civil engineering. Bauingenieurwesen, 2020-09, Vol.64 (3), p.751 [Peer Reviewed Journal]

Copyright Periodica Polytechnica, Budapest University of Technology and Economics 2020 ;ISSN: 0553-6626 ;EISSN: 1587-3773 ;DOI: 10.3311/PPci.15769

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9
Bayesian neural networks with variable selection for prediction of genotypic values
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Bayesian neural networks with variable selection for prediction of genotypic values

Genetics selection evolution (Paris), 2020-05, Vol.52 (1), p.26-26, Article 26 [Peer Reviewed Journal]

COPYRIGHT 2020 BioMed Central Ltd. ;2020. 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. ;Distributed under a Creative Commons Attribution 4.0 International License ;The Author(s) 2020 ;ISSN: 1297-9686 ;ISSN: 0999-193X ;EISSN: 1297-9686 ;DOI: 10.1186/s12711-020-00544-8 ;PMID: 32414320

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10
Machine Learning Approach for Degradation Path Prediction Using Different Models and Architectures of Artificial Neural Networks
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Machine Learning Approach for Degradation Path Prediction Using Different Models and Architectures of Artificial Neural Networks

Periodica polytechnica. Mechanical engineering - Mas̆inostroenie, 2022-07, Vol.66 (3), p.244-252 [Peer Reviewed Journal]

Copyright Periodica Polytechnica, Budapest University of Technology and Economics 2022 ;ISSN: 0324-6051 ;EISSN: 1587-379X ;DOI: 10.3311/PPme.20145

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11
Real-time Intraday Traffic Volume Forecasting – A Hybrid Application Using Singular Spectrum Analysis and Artificial Neural Networks
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Article
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Real-time Intraday Traffic Volume Forecasting – A Hybrid Application Using Singular Spectrum Analysis and Artificial Neural Networks

Periodica polytechnica. Transportation engineering, 2020-07, Vol.48 (3), p.226-235 [Peer Reviewed Journal]

Copyright Periodica Polytechnica, Budapest University of Technology and Economics 2020 ;ISSN: 0303-7800 ;EISSN: 1587-3811 ;DOI: 10.3311/PPtr.14122

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12
International Importation Risk Estimation of SARS-CoV-2 Omicron Variant with Incomplete Mobility Data
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Article
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International Importation Risk Estimation of SARS-CoV-2 Omicron Variant with Incomplete Mobility Data

Transboundary and emerging diseases, 2023-09, Vol.2023, p.1-8 [Peer Reviewed Journal]

Copyright © 2023 Yan Zhu et al. ;Copyright © 2023 Yan Zhu et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;ISSN: 1865-1674 ;EISSN: 1865-1682 ;DOI: 10.1155/2023/5046932

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13
Deep learning versus parametric and ensemble methods for genomic prediction of complex phenotypes
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Article
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Deep learning versus parametric and ensemble methods for genomic prediction of complex phenotypes

Genetics selection evolution (Paris), 2020-02, Vol.52 (1), p.12-12, Article 12 [Peer Reviewed Journal]

COPYRIGHT 2020 BioMed Central Ltd. ;2020. 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. ;Distributed under a Creative Commons Attribution 4.0 International License ;The Author(s) 2020 ;ISSN: 1297-9686 ;ISSN: 0999-193X ;EISSN: 1297-9686 ;DOI: 10.1186/s12711-020-00531-z ;PMID: 32093611

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14
Generating AI modules for decoupling capacitor placement using simulation
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Article
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Generating AI modules for decoupling capacitor placement using simulation

Advances in radio science, 2023-12, Vol.21, p.49-55 [Peer Reviewed Journal]

COPYRIGHT 2023 Copernicus GmbH ;2023. 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: 1684-9973 ;ISSN: 1684-9965 ;EISSN: 1684-9973 ;DOI: 10.5194/ars-21-49-2023

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15
De novo Molecular Design with Generative Long Short-term Memory
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Article
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De novo Molecular Design with Generative Long Short-term Memory

Chimia, 2019-12, Vol.73 (12), p.1006-1011 [Peer Reviewed Journal]

ISSN: 0009-4293 ;EISSN: 2673-2424 ;DOI: 10.2533/chimia.2019.1006 ;PMID: 31883552

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16
Fahrerintentionserkennung zur lichtbasierten Kommunikation mit Fußgängern
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Book
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Fahrerintentionserkennung zur lichtbasierten Kommunikation mit Fußgängern

DOI: 10.5445/KSP/1000145569

Digital Resources/Online E-Resources

17
Prognosis of Wind-tempted Mean Pressure Coefficients of Cross-shaped Tall Buildings Using Artificial Neural Network
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Article
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Prognosis of Wind-tempted Mean Pressure Coefficients of Cross-shaped Tall Buildings Using Artificial Neural Network

Periodica polytechnica. Civil engineering. Bauingenieurwesen, 2020-01, Vol.64 (4), p.1124 [Peer Reviewed Journal]

Copyright Periodica Polytechnica, Budapest University of Technology and Economics 2020 ;ISSN: 0553-6626 ;EISSN: 1587-3773 ;DOI: 10.3311/PPci.16311

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18
Efficiency of Hybrid Algorithms for Estimating the Shear Strength of Deep Reinforced Concrete Beams
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Article
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Efficiency of Hybrid Algorithms for Estimating the Shear Strength of Deep Reinforced Concrete Beams

Periodica polytechnica. Civil engineering. Bauingenieurwesen, 2022-04, Vol.66 (2), p.398 [Peer Reviewed Journal]

Copyright Periodica Polytechnica, Budapest University of Technology and Economics 2022 ;ISSN: 0553-6626 ;EISSN: 1587-3773 ;DOI: 10.3311/PPci.19323

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19
Algorithmization of the problem of videoscopic evaluation of the steel ropes state
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Article
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Algorithmization of the problem of videoscopic evaluation of the steel ropes state

Nauchno-tekhnicheskiĭ vestnik Bri͡a︡nskogo gosudarstvennogo universiteta, 2023-03, Vol.9 (1), p.87-100 [Peer Reviewed Journal]

ISSN: 2413-9920 ;EISSN: 2413-9920 ;DOI: 10.22281/2413-9920-2023-09-01-87-100

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20
Road Pavement Asphalt Concretes for Thin Wearing Layers: A Machine Learning Approach towards Stiffness Modulus and Volumetric Properties Prediction
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Article
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Road Pavement Asphalt Concretes for Thin Wearing Layers: A Machine Learning Approach towards Stiffness Modulus and Volumetric Properties Prediction

Periodica polytechnica. Civil engineering. Bauingenieurwesen, 2022-10, Vol.66 (4), p.1087 [Peer Reviewed Journal]

Copyright Periodica Polytechnica, Budapest University of Technology and Economics 2022 ;ISSN: 0553-6626 ;EISSN: 1587-3773 ;DOI: 10.3311/PPci.19996

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