Katalog der Deutschen Nationalbibliothek

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"
im Bestand: Gesamter Bestand

38221 - 38230 von 38814
<< < > >>


Artikel 38221 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
Online Ressource
Artikel 38222 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
Online Ressource
Artikel 38223 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 38224 Uncovering the role of transient receptor potential channels in pterygium: a machine learning approach
Enthalten in Inflammation research Bd. 72, 24.1.2023, Nr. 3, date:3.2023: 589-602
Online Ressource
Artikel 38225 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 38226 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 38227 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 38228 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
Online Ressource
Artikel 38229 Understanding current states of machine learning approaches in medical informatics: a systematic literature review
Enthalten in Health and Technology Bd. 11, 14.3.2021, Nr. 3, date:5.2021: 471-482
Online Ressource
Artikel 38230 Understanding EMS response times: a machine learning-based analysis
Enthalten in BMC medical informatics and decision making Bd. 25, 24.3.2025, Nr. 1, date:12.2025: 1-15
Online Ressource


38221 - 38230 von 38814
<< < > >>


E-Mail-IconAdministration