Katalog der Deutschen Nationalbibliothek

Neuigkeiten

Leichte Bedienung, intuitive Suche: Die Betaversion unseres neuen Katalogs ist online! → Zur Betaversion des neuen DNB-Katalogs

 
 
 


Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

1571 - 1580 von 29128
<< < > >>


Artikel 1571 Was alle über Künstliche Intelligenz wissen sollen und wie KI-bezogene Kompetenzen in der Schule entwickelt werden können
Enthalten in Informatik-Spektrum 7.1.2025: 1-9
Online Ressource
Artikel 1572 Porous Materials for Early Diagnosis of Neurodegenerative Diseases
Enthalten in Advanced healthcare materials 06.01.2025. 37 S.
Online Ressource
Artikel 1573 Applications of Machine Learning and Artificial Intelligence in Tropospheric Ozone Research
Enthalten in EGUsphere 06.01.2025: 1-43. 43 S.
Online Ressource
Artikel 1574 Estimation of the Spatiotemporal Variability of Surface soil Moisture Using Machine Learning Methods Integrating Satellite and Ground-based Soil Moisture and Environmental Data
Enthalten in Water resources management 6.1.2025: 1-18
Online Ressource
Artikel 1575 Feasibility Study on Optimising the Efficacy of a Population Age Estimation Model for South China by Combined Machine Learning for the Second and Third Molars
Enthalten in Journal of imaging informatics in medicine 6.1.2025: 1-14
Online Ressource
Artikel 1576 Machine learning models based on FEM simulation of hoop mode vibrations to enable ultrasonic cuffless measurement of blood pressure
Enthalten in Medical & biological engineering & computing 6.1.2025: 1-14
Online Ressource
Artikel 1577 Exploration of Chemical Space Through Automated Reasoning
Enthalten in Angewandte Chemie 05.01.2025. 12 S.
Online Ressource
Artikel 1578 Exploration of Chemical Space Through Automated Reasoning
Enthalten in Angewandte Chemie / International edition 05.01.2025. 12 S.
Online Ressource
Artikel 1579 Elementary-level intrusive coupling of machine learning for efficient mechanical analysis of variable stiffness composite laminates: a spatially-adaptive fidelity-sensitive computational framework
Enthalten in Engineering with computers 5.1.2025: 1-28
Online Ressource
Artikel 1580 Nonlinear modeling and machine learning techniques are needed for accurate prediction of contaminant sorption
Enthalten in International journal of environmental science and technology 5.1.2025: 1-25
Online Ressource


1571 - 1580 von 29128
<< < > >>


E-Mail-IconAdministration