Katalog der Deutschen Nationalbibliothek

Expertensuche ?

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

16651 - 16660 von 16992

	16651	Understanding with Toy Surrogate Models in Machine Learning Enthalten in Minds and machines Bd. 34, 2.11.2024, Nr. 4, date:12.2024: 1-26
	16652	Unfolded protein response pathways in stroke patients: a comprehensive landscape assessed through machine learning algorithms and experimental verification Enthalten in Journal of translational medicine Bd. 21, 27.10.2023, Nr. 1, date:12.2023: 1-13
	16653	Unfolding the dynamics of driving behavior: a machine learning analysis from Germany and Belgium Enthalten in European transport research review Bd. 16, 1.7.2024, Nr. 1, date:12.2024: 1-13
	16654	Unified mRNA Subcellular Localization Predictor based on machine learning techniques Enthalten in BMC genomics Bd. 25, 7.2.2024, Nr. 1, date:12.2024: 1-18
	16655	Universal machine learning aided synthesis approach of two-dimensional perovskites in a typical laboratory Enthalten in Nature Communications Bd. 15, 2.1.2024, Nr. 1, date:12.2024: 1-10
	16656	Universal machine learning for the response of atomistic systems to external fields Enthalten in Nature Communications Bd. 14, 12.10.2023, Nr. 1, date:12.2023: 1-11
	16657	Universal machine learning interatomic potentials are ready for phonons Enthalten in npj computational materials Bd. 11, 12.6.2025, Nr. 1, date:12.2025: 1-8
	16658	Unlocking cardiac motion: assessing software and machine learning for single-cell and cardioid kinematic insights Enthalten in Scientific reports Bd. 14, 20.1.2024, Nr. 1, date:12.2024: 1-15
	16659	Unlocking HDR-mediated nucleotide editing by identifying high-efficiency target sites using machine learning Enthalten in Scientific reports Bd. 9, 26.2.2019, Nr. 1, date:12.2019: 1-10
	16660	Unlocking phonon properties of a large and diverse set of cubic crystals by indirect bottom-up machine learning approach Enthalten in Communications materials Bd. 4, 15.8.2023, Nr. 1, date:12.2023: 1-11

16651 - 16660 von 16992

Alle Materialarten > Online Ressourcen (16992)

Alle Kataloge/Sammlungen

Hochschulschriften (2640)

Alle Standorte > Online (frei zugänglich) (16992)

Aktionen

Administration