Katalog der Deutschen Nationalbibliothek

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

16071 - 16080 von 16785

	16071	Symptom-based scoring technique by machine learning to predict COVID-19: a validation study Enthalten in BMC infectious diseases Bd. 23, 12.12.2023, Nr. 1, date:12.2023: 1-11
	16072	Symptom clusters among cancer survivors: what can machine learning techniques tell us? Enthalten in BMC medical research methodology Bd. 21, 16.8.2021, Nr. 1, date:12.2021: 1-12
	16073	Synergic quantum generative machine learning Enthalten in Scientific reports Bd. 13, 9.8.2023, Nr. 1, date:12.2023: 1-14
	16074	Synergistic bioinformatics and sophisticated machine learning unveil ferroptosis-driven regulatory pathways and immunotherapy potential in breast carcinoma Enthalten in Discover oncology Bd. 16, 4.5.2025, Nr. 1, date:12.2025: 1-21
	16075	Synergistic detection of E. coli using ultrathin film of functionalized graphene with impedance spectroscopy and machine learning Enthalten in Scientific reports Bd. 15, 30.4.2025, Nr. 1, date:12.2025: 1-11
	16076	Synergistic integration of metaheuristics and machine learning: latest advances and emerging trends Enthalten in Artificial intelligence review Bd. 58, 4.6.2025, Nr. 9, date:9.2025: 1-64
	16077	Synergistic integration of Multi-View Brain Networks and advanced machine learning techniques for auditory disorders diagnostics Enthalten in Brain Informatics Bd. 11, 14.1.2024, Nr. 1, date:12.2024: 1-13
	16078	Synergistic observation of FY-4A&4B to estimate CO concentration in China: combining interpretable machine learning to reveal the influencing mechanisms of CO variations Enthalten in npj climate and atmospheric science Bd. 7, 6.1.2024, Nr. 1, date:12.2024: 1-12
	16079	Synergizing physics and machine learning for advanced battery management Enthalten in Communications engineering Bd. 3, 17.9.2024, Nr. 1, date:12.2024: 1-9
	16080	Synergizing quantum techniques with machine learning for advancing drug discovery challenge Enthalten in Scientific reports Bd. 14, 28.12.2024, Nr. 1, date:12.2024: 1-12