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Ergebnis der Suche nach: "Machine Learning"
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19201 - 19210 von 19590
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Artikel 19201 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
Online Ressource
Artikel 19202 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
Online Ressource
Artikel 19203 Unifying machine learning and interpolation theory via interpolating neural networks
Enthalten in Nature Communications Bd. 16, 1.10.2025, Nr. 1, date:12.2025: 1-12
Online Ressource
Artikel 19204 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
Online Ressource
Artikel 19205 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
Online Ressource
Artikel 19206 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
Online Ressource
Artikel 19207 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
Online Ressource
Artikel 19208 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
Online Ressource
Artikel 19209 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
Online Ressource
Artikel 19210 Unlocking potential biomarkers bridging coronary atherosclerosis and pyrimidine metabolism-associated genes through an integrated bioinformatics and machine learning approach
Enthalten in BMC cardiovascular disorders Bd. 24, 7.3.2024, Nr. 1, date:12.2024: 1-16
Online Ressource


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