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| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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Code and dataset for Barthel et. al. (2024)ISSN: 1942-2466 ;EISSN: 1942-2466 ;DOI: 10.5281/zenodo.10120305Full text available |
| 2 |
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A spatially and vertically resolved global grid of dissolved barium concentrations in seawater determined using Gaussian Process Regression machine learningCreative Commons Attribution 4.0 https://creativecommons.org/licenses/by/4.0 ;DOI: 10.26008/1912/bco-dmo.885506.1Digital Resources/Online E-Resources |
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Database of snow holograms collected from 2019 to 2022 for machine learning training or other purposesCC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0Digital Resources/Online E-Resources |
| 4 |
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Reinforcement learning for industrial manufacturing control systemSt. Petersburg State Polytechnical University Journal. Computer Science. Telecommunications and Control Systems, 2021, Vol.14 (1), p.60 [Peer Reviewed Journal]2021. This work is published under 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: 2304-9766 ;DOI: 10.18721/JCSTCS.14106Full text available |
| 5 |
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Dynamic energy consumption rationing based on machine learning algorithms for oil refining tasksSt. Petersburg State Polytechnical University Journal. Computer Science. Telecommunications and Control Systems, 2021, Vol.14 (3), p.20 [Peer Reviewed Journal]2021. This work is published under 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: 2304-9766 ;DOI: 10.18721/JCSTCS.14302Full text available |
| 6 |
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Deep gradient boosting for regression problemsSt. Petersburg State Polytechnical University Journal. Computer Science. Telecommunications and Control Systems, 2021, Vol.14 (3), p.7 [Peer Reviewed Journal]2021. This work is published under 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: 2304-9766 ;DOI: 10.18721/JCSTCS.14301Full text available |
| 7 |
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Dataset and Potentials for Lithium Metal, Phuthi M. K. et al. (2024)ISSN: 2470-1343 ;EISSN: 2470-1343 ;DOI: 10.5281/zenodo.10470792Full text available |
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Hierarchical Pareto optimality approach for intelligent control system in oil manufacturingSt. Petersburg State Polytechnical University Journal. Computer Science. Telecommunications and Control Systems, 2021, Vol.14 (4), p.61 [Peer Reviewed Journal]2021. This work is published under 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: 2304-9766 ;DOI: 10.18721/JCSTCS.14406Full text available |
| 9 |
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Dataset used in the publication entitled "Application of machine learning to assess the influence of microstructure on twin nucleation in Mg alloys"ISSN: 2057-3960 ;EISSN: 2057-3960 ;DOI: 10.5281/zenodo.10225599Full text available |
| 10 |
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Mueller matrix imaging combining optical parameters of mice non-melanoma skin cancer tissueISSN: 2405-8440 ;EISSN: 2405-8440 ;DOI: 10.5281/zenodo.10065413Full text available |
| 11 |
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Customizable Machine Learning Models for Rapid Microplastic Identification Using Raman MicroscopyDOI: 10.5683/SP3/LSN0R0Digital Resources/Online E-Resources |
| 12 |
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Customizable Machine Learning Models for Rapid Microplastic Identification Using Raman MicroscopyDOI: 10.5683/SP3/LSN0R0Digital Resources/Online E-Resources |
| 13 |
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| 14 |
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Annotated video footage for automated identification and counting of fish in unconstrained marine environmentsCC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccessDigital Resources/Online E-Resources |
| 15 |
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Machine learning predicts earthquakes in the continuum model of a rate-and-state fault with frictional heterogeneitiesISSN: 0094-8276 ;EISSN: 1944-8007 ;DOI: 10.5281/zenodo.10540543Full text available |
| 16 |
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Discovery and validation of molecular patterns and immune characteristics in the peripheral blood of ischemic stroke patientsISSN: 2167-8359 ;EISSN: 2167-8359 ;DOI: 10.5281/zenodo.10869349Full text available |
| 17 |
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Development, using supervised machine learning methods, of an optimized interpretation grid for a commercial milk test designed for detection of pregnancy in dairy cows between 23 and 90 days since breedingDOI: 10.5683/SP3/8LP7CFDigital Resources/Online E-Resources |
| 18 |
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Thin Oxide Film Ellipsometry for ML ApplicationsDOI: 10.20383/103.0805Digital Resources/Online E-Resources |
| 19 |
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AstroEBSD Superalloy Example Datahttps://creativecommons.org/licenses/by/4.0/legalcode ;DOI: 10.1107/S1600576718010373Digital Resources/Online E-Resources |
| 20 |
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Data bundle for "Advancing characterisation with statistics from correlative electron diffraction and X-ray spectroscopy, in the scanning electron microscope"https://creativecommons.org/licenses/by/4.0/legalcode ;DOI: 10.1016/j.ultramic.2020.112944Digital Resources/Online E-Resources |
Results 1 - 20 of 159 for All Library Resources
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