Katalog der Deutschen Nationalbibliothek

Neuigkeiten Servicezeiten in Frankfurt am Main ab 1. Dezember 2025: Montag bis Freitag 9–18 Uhr und Samstag 10–16 Uhr
Service hours in Frankfurt am Main from 1 December 2025: Monday to Friday 9:00-18:00 and Saturday 10:00-16:00
 
Neuigkeiten Wegen Wartungsarbeiten ist vom 12. bis 14. Januar 2026 der Museumslesesaal, sowie vom 14. bis 16. Januar 2026 der Musiklesesaal geschlossen. // Due to maintenance work the museum reading room will be closed from 12 to 14 January 2026 and the music reading room from 14 to 16 January 2026.
 
 
 


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

33011 - 33020 von 33463
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Artikel 33011 Using experimental data in computationally guided rational design of inorganic materials with machine learning
Enthalten in Journal of materials research Bd. 40, 8.4.2025, Nr. 6, date:3.2025: 833-848 		Online Ressource
Artikel 33012 Using explainable machine learning and fitbit data to investigate predictors of adolescent obesity
Enthalten in Scientific reports Bd. 14, 31.5.2024, Nr. 1, date:12.2024: 1-12 		Online Ressource
Artikel 33013 Using explainable machine learning to predict compressive strength of blended concrete: a data-driven metaheuristic approach
Enthalten in Asian journal of civil engineering Bd. 25, 27.6.2023, Nr. 1, date:1.2024: 219-236 		Online Ressource
Artikel 33014 USING GIS DATA AND MACHINE LEARNING FOR MINERAL MAPPING. STUDY CASE, BOU SKOUR EASTERN ANTI-ATLAS, MOROCCO
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W6-2022, 2023: 423-430. 8 S. 		Online Ressource
Artikel 33015 Using graph machine learning to identify functioning in patients with low back pain in terms of ICF
Enthalten in Scientific reports Bd. 15, 2.7.2025, Nr. 1, date:12.2025: 1-10 		Online Ressource
Artikel 33016 Using human brain activity to guide machine learning
Enthalten in Scientific reports Bd. 8, 29.3.2018, Nr. 1, date:12.2018: 1-10 		Online Ressource
Artikel 33017 Using Information about Influencing Factors to Split Data Samples in Machine Learning Methods for the Purposes of Assessing Information Security
Enthalten in Automatic control and computer sciences Bd. 56, 28.2.2023, Nr. 8, date:12.2022: 981-987 		Online Ressource
Artikel 33018 Using informative features in machine learning based method for COVID-19 drug repurposing
Enthalten in Journal of cheminformatics Bd. 13, 20.9.2021, Nr. 1, date:12.2021: 1-14 		Online Ressource
Artikel 33019 Using interpretable machine learning methods to identify the relative importance of lifestyle factors for overweight and obesity in adults: pooled evidence from CHNS and NHANES
Enthalten in BMC public health Bd. 24, 1.11.2024, Nr. 1, date:12.2024: 1-15 		Online Ressource
Artikel 33020 Using Jupyter Notebooks for re-training machine learning models
Enthalten in Journal of cheminformatics Bd. 14, 13.8.2022, Nr. 1, date:12.2022: 1-9 		Online Ressource


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