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Ergebnis der Suche nach: "Machine Learning"
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Artikel 11791 Type 2 diabetes and susceptibility to COVID-19: a machine learning analysis
Enthalten in BMC endocrine disorders Bd. 24, 21.10.2024, Nr. 1, date:12.2024: 1-9
Online Ressource
Artikel 11792 UAV-BASED RIVER PLASTIC DETECTION WITH A MULTISPECTRAL CAMERA
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B3-2022, 2022: 855-861. 7 S.
Online Ressource
Artikel 11793 UAV imaging for spectral characterization of Coffee Leaf Miner (<i>Leucoptera coffeella</i>) infestation in the Cerrado Mineiro region
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-3-2024, 2024: 285-291. 7 S.
Online Ressource
Artikel 11794 UbiSite: incorporating two-layered machine learning method with substrate motifs to predict ubiquitin-conjugation site on lysines
Enthalten in BMC systems biology Bd. 10, 11.1.2016, Nr. 1, date:12.2016: 49-61
Online Ressource
Artikel 11795 UCoDe: unified community detection with graph convolutional networks
Enthalten in Machine learning Bd. 112, 20.9.2023, Nr. 12, date:12.2023: 5057-5080
Online Ressource
Artikel 11796 Ultra-broadband, wide-angle plus-shape slotted metamaterial solar absorber design with absorption forecasting using machine learning
Enthalten in Scientific reports Bd. 12, 17.6.2022, Nr. 1, date:12.2022: 1-14
Online Ressource
Artikel 11797 Ultra-fast interpretable machine-learning potentials
Enthalten in npj computational materials Bd. 9, 2.9.2023, Nr. 1, date:12.2023: 1-9
Online Ressource
Artikel 11798 Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP
Enthalten in Machine learning Bd. 107, 7.5.2018, Nr. 7, date:7.2018: 1119-1140
Online Ressource
Artikel 11799 Ultrasensitive textile strain sensors redefine wearable silent speech interfaces with high machine learning efficiency
Enthalten in npj flexible electronics Bd. 8, 7.5.2024, Nr. 1, date:12.2024: 1-11
Online Ressource
Artikel 11800 Ultrasonic mode conversion for in-line foam structure measurement in highly aerated batters using machine learning
Enthalten in Journal of food measurement and characterization Bd. 18, 17.5.2024, Nr. 6, date:6.2024: 4779-4793
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