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| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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Material Type: Article
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A survey on scenario theory, complexity and compression-based learning and generalizationIEEE transaction on neural networks and learning systems, 2023-09, Vol.103, p.1-15Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2162-237X ;EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2023.3308828Digital Resources/Online E-Resources |
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Material Type: Article
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Machine learning detection of dust impact signals observed by the Solar OrbiterAnnales geophysicae (1988), 2023-01, Vol.41 (1), p.69-86 [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: 1432-0576 ;ISSN: 0992-7689 ;EISSN: 1432-0576 ;DOI: 10.5194/angeo-41-69-2023Full text available |
| 3 |
Material Type: Thesises (postgraduate)
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Simulation and assessment of multivariate extreme models for environmental dataDigital Resources/Online E-Resources |
| 4 |
Material Type: Thesises (postgraduate)
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| 5 |
Material Type: Article
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Improving daily stochastic streamflow prediction: comparison of novel hybrid data-mining algorithmsHydrological sciences journal, 2021-07, Vol.66 (9), p.1457-1474 [Peer Reviewed Journal]2021 IAHS 2021 ;2021 IAHS ;ISSN: 0262-6667 ;EISSN: 2150-3435 ;DOI: 10.1080/02626667.2021.1928673Full text available |
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