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Ergebnis der Suche nach: "Machine Learning"
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Artikel 11251 Publisher Correction: Overcoming the coherence time barrier in quantum machine learning on temporal data
Enthalten in Nature Communications Bd. 15, 23.10.2024, Nr. 1, date:12.2024: 1
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Artikel 11252 Publisher Correction: Structural degeneracy and formation of crystallographic domains in epitaxial LaFeO3 films revealed by machine‑learning assisted 4D‑STEM
Enthalten in Scientific reports Bd. 14, 17.4.2024, Nr. 1, date:12.2024: 1-2
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Artikel 11253 Publisher Correction: The dengue-specific immune response and antibody identification with machine learning
Enthalten in npj vaccines Bd. 9, 9.12.2024, Nr. 1, date:12.2024: 1
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Artikel 11254 Publisher Correction: Transcriptomic profiling and machine learning reveal novel RNA signatures for enhanced molecular characterization of Hashimoto’s thyroiditis
Enthalten in Scientific reports Bd. 15, 14.2.2025, Nr. 1, date:12.2025: 1
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Artikel 11255 Publisher Correction: Understanding CO adsorption in MOFs combining atomic simulations and machine learning
Enthalten in Scientific reports Bd. 14, 18.11.2024, Nr. 1, date:12.2024: 1
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Artikel 11256 Pulled fly balls are harder to catch: a game analysis with a machine learning approach
Enthalten in Sports engineering Bd. 25, 29.6.2022, Nr. 1, date:12.2022: 1-11
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Artikel 11257 Pulmonary vascular reactivity in growth restricted fetuses using computational modelling and machine learning analysis of fetal Doppler waveforms
Enthalten in Scientific reports Bd. 14, 11.3.2024, Nr. 1, date:12.2024: 1-12
Online Ressource
Artikel 11258 Pulmonologists-level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach
Enthalten in Scientific reports Bd. 14, 24.12.2024, Nr. 1, date:12.2024: 1-11
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Artikel 11259 Pulse-driven MEMS gas sensor combined with machine learning for selective gas identification
Enthalten in Microsystems & nanoengineering Bd. 11, 23.4.2025, Nr. 1, date:12.2025: 1-12
Online Ressource
Artikel 11260 Pulse wave-based evaluation of the blood-supply capability of patients with heart failure via machine learning
Enthalten in Biomedical engineering online Bd. 23, 19.1.2024, Nr. 1, date:12.2024: 1-17
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