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

26621 - 26630 von 28135
<< < > >>


Artikel 26621 Social prediction: a new research paradigm based on machine learning
Enthalten in The Journal of Chinese Sociology Bd. 8, 1.9.2021, Nr. 1, date:12.2021: 1-21
Online Ressource
Artikel 26622 Socio-demographic predictors of not having private dental insurance coverage: machine-learning algorithms may help identify the disadvantaged
Enthalten in BMC public health Bd. 24, 23.5.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 26623 Socioeconomic and demographic factors associated with anaemia among women of reproductive age in Zimbabwe: a supervised machine learning approach
Enthalten in Discover public health Bd. 22, 7.4.2025, Nr. 1, date:12.2025: 1-17
Online Ressource
Artikel 26624 Socioexposomics of COVID-19 across New Jersey: a comparison of geostatistical and machine learning approaches
Enthalten in Journal of exposure science & environmental epidemiology Bd. 34, 1.2.2023, Nr. 2, date:3.2024: 197-207
Online Ressource
Artikel 26625 Soft causal constraints in groundwater machine learning: a new way to balance accuracy and physical consistency
Enthalten in Environmental earth sciences Bd. 84, 15.1.2025, Nr. 2, date:1.2025: 1-17
Online Ressource
Artikel 26626 Soft Clustering for Enhancing ITU Rain Model based on Machine Learning Techniques
Enthalten in Wireless personal communications Bd. 120, 24.5.2021, Nr. 1, date:9.2021: 287-305
Online Ressource
Artikel 26627 Soft computing method for predicting pressure drop reduction in crude oil pipelines based on machine learning methods
Enthalten in Associação Brasileira de Engenharia e Ciências Mecânicas: Journal of the Brazilian Society of Mechanical Sciences and Engineering Bd. 42, 8.10.2020, Nr. 11, date:11.2020: 1-11
Online Ressource
Artikel 26628 Soft computing techniques for predicting the compressive strength properties of fly ash geopolymer concrete using regression-based machine learning approaches
Enthalten in Journal of building pathology and rehabilitation Bd. 9, 19.6.2024, Nr. 2, date:12.2024: 1-29
Online Ressource
Artikel 26629 Soft computing techniques for predicting the properties of raw rice husk concrete bricks using regression-based machine learning approaches
Enthalten in Scientific reports Bd. 13, 4.9.2023, Nr. 1, date:12.2023: 1-21
Online Ressource
Artikel 26630 Soft electronic material based sensor with optical network in sports application for player movement analysis using machine learning model
Enthalten in Optical and quantum electronics Bd. 56, 30.1.2024, Nr. 4, date:4.2024: 1-18
Online Ressource


26621 - 26630 von 28135
<< < > >>


E-Mail-IconAdministration