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Ergebnis der Suche nach: "Machine Learning"
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26811 - 26820 von 27470
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Artikel 26811 Traktor-Assistenzsysteme mittels Machine Learning
Enthalten in ATZ heavyduty Bd. 13, 19.6.2020, Nr. 2, date:6.2020: 52-56
Online Ressource
Artikel 26812 Trans-ancestral rare variant association study with machine learning-based phenotyping for metabolic dysfunction-associated steatotic liver disease
Enthalten in Genome biology Bd. 26, 10.3.2025, Nr. 1, date:12.2025: 1-27
Online Ressource
Artikel 26813 Transatlantic transferability and replicability of machine-learning algorithms to predict mental health crises
Enthalten in npj digital medicine Bd. 7, 9.9.2024, Nr. 1, date:12.2024: 1-10
Online Ressource
Artikel 26814 Transcription factor expression as a predictor of colon cancer prognosis: a machine learning practice
Enthalten in BMC medical genomics Bd. 13, 21.9.2020, Nr. 9, date:9.2020: 1-10
Online Ressource
Artikel 26815 Transcriptomic profiling and machine learning reveal novel RNA signatures for enhanced molecular characterization of Hashimoto’s thyroiditis
Enthalten in Scientific reports Bd. 15, 3.1.2025, Nr. 1, date:12.2025: 1-14
Online Ressource
Artikel 26816 Transfer learning convolutional neural network for weight classification in a plastic optical fiber
Enthalten in Journal of optical communications Bd. 45, 2023, Nr. s1: s1239-s1250. 12 S.
Online Ressource
Artikel 26817 Transfer Learning von Labor- zu Flottendaten - Vorhersage der Batterielebensdauer und optimale Nutzung im Batteriemanagementsystem
Enthalten in Automobiltechnische Zeitschrift Bd. 28, 22.9.2023, Nr. 2, date:9.2023: 28-33
Online Ressource
Artikel 26818 Transfer learning with pre-trained conditional generative models
Enthalten in Machine learning Bd. 114, 19.2.2025, Nr. 4, date:4.2025: 1-38
Online Ressource
Artikel 26819 Transferable and robust machine learning model for predicting stability of Si anodes for multivalent cation batteries
Enthalten in Journal of materials science Bd. 58, 1.7.2023, Nr. 27, date:7.2023: 11085-11099
Online Ressource
Artikel 26820 Transformer-generated atomic embeddings to enhance prediction accuracy of crystal properties with machine learning
Enthalten in Nature Communications Bd. 16, 31.1.2025, Nr. 1, date:12.2025: 1-11
Online Ressource


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