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

26711 - 26720 von 27445
<< < > >>


Artikel 26711 Toward a Machine Learning and Software Defined Network Approaches to Manage Miners’ Reputation in Blockchain
Enthalten in Journal of network and systems management Bd. 28, 23.4.2020, Nr. 3, date:7.2020: 478-501
Online Ressource
Artikel 26712 Toward artificial intelligence and machine learning-enabled frameworks for improved predictions of lifecycle environmental impacts of functional materials and devices
Enthalten in Materials Research Society: MRS communications Bd. 13, 5.10.2023, Nr. 5, date:10.2023: 795-811
Online Ressource
Artikel 26713 Toward automated microstructure characterization of stainless steels through machine learning-based analysis of replication micrographs
Enthalten in Journal of materials science: materials in engineering Bd. 19, 26.6.2024, Nr. 1, date:12.2024: 1-15
Online Ressource
Artikel 26714 Toward Complete Structured Information Extraction from Radiology Reports Using Machine Learning
Enthalten in Journal of digital imaging Bd. 32, 19.6.2019, Nr. 4, date:8.2019: 554-564
Online Ressource
Artikel 26715 Toward finding strong pareto optimal policies in multi-agent reinforcement learning
Enthalten in Machine learning Bd. 114, 6.2.2025, Nr. 3, date:3.2025: 1-20
Online Ressource
Artikel 26716 Toward fully automated UED operation using two-stage machine learning model
Enthalten in Scientific reports Bd. 12, 10.3.2022, Nr. 1, date:12.2022: 1-12
Online Ressource
Artikel 26717 Toward particle-resolved accuracy in Euler–Lagrange simulations of multiphase flow using machine learning and pairwise interaction extended point-particle (PIEP) approximation
Enthalten in Theoretical and computational fluid dynamics Bd. 34, 30.6.2020, Nr. 4, date:8.2020: 401-428
Online Ressource
Artikel 26718 Toward reliable prediction of CO2 uptake capacity of metal–organic frameworks (MOFs): implementation of white-box machine learning
Enthalten in Adsorption Bd. 30, 21.9.2024, Nr. 8, date:12.2024: 1985-2003
Online Ressource
Artikel 26719 Toward self-organizing low-dimensional organic–inorganic hybrid perovskites: Machine learning-driven co-navigation of chemical and compositional spaces
Enthalten in Materials Research Society: MRS bulletin Bd. 48, 22.2.2023, Nr. 2, date:2.2023: 164-172
Online Ressource
Artikel 26720 Toward Sociotechnical AI: Mapping Vulnerabilities for Machine Learning in Context
Enthalten in Minds and machines Bd. 34, 17.5.2024, Nr. 2, date:6.2024: 1-51
Online Ressource


26711 - 26720 von 27445
<< < > >>


E-Mail-IconAdministration