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15391 - 15400 von 16736
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Artikel 15391 QDataSet, quantum datasets for machine learning
Enthalten in Scientific data Bd. 9, 23.9.2022, Nr. 1, date:12.2022: 1-22
Online Ressource
Artikel 15392 QM40, Realistic Quantum Mechanical Dataset for Machine Learning in Molecular Science
Enthalten in Scientific data Bd. 11, 18.12.2024, Nr. 1, date:12.2024: 1-7
Online Ressource
Artikel 15393 QSAR analysis of VEGFR-2 inhibitors based on machine learning, Topomer CoMFA and molecule docking
Enthalten in BMC chemistry Bd. 18, 30.3.2024, Nr. 1, date:12.2024: 1-17
Online Ressource
Artikel 15394 QTc interval prolongation impact on in-hospital mortality in acute coronary syndromes patients using artificial intelligence and machine learning
Enthalten in The Egyptian heart journal Bd. 76, 13.11.2024, Nr. 1, date:12.2024: 1-9
Online Ressource
Artikel 15395 Qualitätsdimensionen maschinellen Lernens in der amtlichen Statistik
Enthalten in Wirtschafts- und sozialstatistisches Archiv Bd. 17, 17.11.2023, Nr. 3-4, date:12.2023: 253-303
Online Ressource
Artikel 15396 Quality assessment and interference detection in targeted mass spectrometry data using machine learning
Enthalten in Clinical proteomics Bd. 15, 6.10.2018, Nr. 1, date:12.2018: 1-13
Online Ressource
Artikel 15397 Quality assurance strategies for machine learning applications in big data analytics: an overview
Enthalten in Journal of Big Data Bd. 11, 30.10.2024, Nr. 1, date:12.2024: 1-48
Online Ressource
Artikel 15398 Quantification of flexoelectricity in PbTiO3/SrTiO3 superlattice polar vortices using machine learning and phase-field modeling
Enthalten in Nature Communications Bd. 8, 13.11.2017, Nr. 1, date:12.2017: 1-8
Online Ressource
Artikel 15399 Quantification of identifying cognitive impairment using olfactory-stimulated functional near-infrared spectroscopy with machine learning: a post hoc analysis of a diagnostic trial and validation of an external additional trial
Enthalten in Alzheimer's research & therapy Bd. 15, 22.7.2023, Nr. 1, date:12.2023: 1-11
Online Ressource
Artikel 15400 Quantifying calcium carbonate and organic carbon content in marine sediments from XRF-scanning spectra with a machine learning approach
Enthalten in Scientific reports Bd. 12, 2.12.2022, Nr. 1, date:12.2022: 1-11
Online Ressource


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