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Neuigkeiten 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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16601 - 16610 von 16964
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Artikel 16601 Uncovering principal factors influencing english performance in Chinese middle school students: a statistical and machine learning approach
Enthalten in Discover education Bd. 3, 6.9.2024, Nr. 1, date:12.2024: 1-14
Online Ressource
Artikel 16602 Uncovering quantum many-body scars with quantum machine learning
Enthalten in npj Quantum information Bd. 11, 11.3.2025, Nr. 1, date:12.2025: 1-11
Online Ressource
Artikel 16603 Uncovering temporal patterns in visualizations of high-dimensional data
Enthalten in Machine learning Bd. 114, 27.1.2025, Nr. 2, date:2.2025: 1-27
Online Ressource
Artikel 16604 Uncovering the complex genetic architecture of human plasma lipidome using machine learning methods
Enthalten in Scientific reports Bd. 13, 22.2.2023, Nr. 1, date:12.2023: 1-12
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Artikel 16605 Uncovering the epigenetic regulatory clues of PRRT1 in Alzheimer’s disease: a strategy integrating multi-omics analysis with explainable machine learning
Enthalten in Alzheimer's research & therapy Bd. 17, 7.1.2025, Nr. 1, date:12.2025: 1-21
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Artikel 16606 Uncovering the factors that affect earthquake insurance uptake using supervised machine learning
Enthalten in Scientific reports Bd. 13, 3.12.2023, Nr. 1, date:12.2023: 1-19
Online Ressource
Artikel 16607 Uncovering waterlogging-responsive genes in cucumber through machine learning and differential gene correlation analysis
Enthalten in Botanical studies Bd. 65, 14.8.2024, Nr. 1, date:12.2024: 1-17
Online Ressource
Artikel 16608 Understanding and predicting ciprofloxacin minimum inhibitory concentration in Escherichia coli with machine learning
Enthalten in Scientific reports Bd. 10, 14.9.2020, Nr. 1, date:12.2020: 1-9
Online Ressource
Artikel 16609 Understanding CO adsorption in MOFs combining atomic simulations and machine learning
Enthalten in Scientific reports Bd. 14, 22.10.2024, Nr. 1, date:12.2024: 1-12
Online Ressource
Artikel 16610 Understanding Colour Tuning Rules and Predicting Absorption Wavelengths of Microbial Rhodopsins by Data-Driven Machine-Learning Approach
Enthalten in Scientific reports Bd. 8, 22.10.2018, Nr. 1, date:12.2018: 1-11
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