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Donnerstag, 11. September 2025: Die Deutsche Nationalbibliothek öffnet wegen eines Beschäftigtentreffens an beiden Standorten erst um 15 Uhr. // Thursday, 11 September 2025: The German National Library will not open until 15:00 due to a staff meeting at both locations.
Ergebnis der Suche nach:
"Machine Learning"
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26311 - 26320 von 29231
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26311
Prediction of Shale Gas Production by Hydraulic Fracturing in Changning Area Using Machine Learning Algorithms
Enthalten in Transport in porous media Bd. 149, 13.4.2023, Nr. 1, date:8.2023: 373-388
26312
Prediction of shield tunneling-induced ground settlement using machine learning techniques
Enthalten in Frontiers of structural and civil engineering Bd. 13, 7.9.2019, Nr. 6, date:12.2019: 1363-1378
26313
Prediction of significant wave height using machine learning and its application to extreme wave analysis
Enthalten in Journal of earth system science Bd. 132, 28.3.2023, Nr. 2, date:6.2023: 1-17
26314
Prediction of sintered density of binary W(Mo) alloys using machine learning
Enthalten in Zhongguo-Youse-Jinshu-Xuehui: Rare metals Bd. 42, 2.5.2023, Nr. 8, date:8.2023: 2713-2724
26315
Prediction of slope stability based on five machine learning techniques approaches: a comparative study
Enthalten in Multiscale and multidisciplinary modeling, experiments and design Bd. 8, 19.3.2025, Nr. 5, date:5.2025: 1-28
26316
Prediction of small-molecule compound solubility in organic solvents by machine learning algorithms
Enthalten in Journal of cheminformatics Bd. 13, 11.12.2021, Nr. 1, date:12.2021: 1-13
26317
Prediction of SMEs’ R&D performances by machine learning for project selection
Enthalten in Scientific reports Bd. 13, 10.5.2023, Nr. 1, date:12.2023: 1-9
26318
Prediction of soil liquefaction for railway embankment resting on fine soil deposits using enhanced machine learning techniques
Enthalten in Journal of earth system science Bd. 132, 1.9.2023, Nr. 3, date:9.2023: 1-23
26319
Prediction of soil organic carbon and total nitrogen affected by mine using Vis–NIR spectroscopy coupled with machine learning algorithms in calcareous soils
Enthalten in Scientific reports Bd. 14, 14.11.2024, Nr. 1, date:12.2024: 1-13
26320
Prediction of soil-rice selenium transfer by machine learning
Enthalten in Journal of soils and sediments Bd. 25, 13.2.2025, Nr. 3, date:3.2025: 770-779
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