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Ergebnis der Suche nach: "Machine Learning"
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35401 - 35410 von 36044
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Artikel 35401 Triboinformatic Machine Learning Model for Frictional Behavior and Wear Volume Loss Prediction of SS316L Alloy Clad with WC/NiCrBSi
Enthalten in Journal of bio- and tribo-corrosion Bd. 10, 2.7.2024, Nr. 3, date:9.2024: 1-16
Online Ressource
Artikel 35402 Trihalomethane prediction model for water supply system based on machine learning and Log-linear regression
Enthalten in Environmental geochemistry and health Bd. 46, 16.1.2024, Nr. 2, date:2.2024: 1-17
Online Ressource
Artikel 35403 Trimming stability selection increases variable selection robustness
Enthalten in Machine learning Bd. 112, 4.10.2023, Nr. 12, date:12.2023: 4995-5055
Online Ressource
Artikel 35404 Triple A — Wie AI, Automation und Algorithmen die Musikbranche umkrempeln
Enthalten in Digitale Welt Bd. 6, 15.9.2022, Nr. 4, date:10.2022: 91-92
Online Ressource
Artikel 35405 Tropical cyclone intensity classification from infrared images of clouds over Bay of Bengal and Arabian Sea using machine learning classifiers
Enthalten in Arabian journal of geosciences Bd. 14, 8.4.2021, Nr. 8, date:4.2021: 1-17
Online Ressource
Artikel 35406 Trust-driven approach to enhance early forest fire detection using machine learning
Enthalten in Scientific reports Bd. 15, 25.4.2025, Nr. 1, date:12.2025: 1-22
Online Ressource
Artikel 35407 Trusted explainable AI based implementation for detection of neurodegenerative disorders (ND)
Enthalten in International journal of information technology Bd. 17, 9.12.2024, Nr. 2, date:3.2025: 1275-1282
Online Ressource
Artikel 35408 Trustworthy machine learning in the context of security and privacy
Enthalten in International journal of information security Bd. 23, 3.4.2024, Nr. 3, date:6.2024: 2287-2314
Online Ressource
Artikel 35409 Truthful meta-explanations for local interpretability of machine learning models
Enthalten in Applied intelligence Bd. 53, 30.8.2023, Nr. 22, date:11.2023: 26927-26948
Online Ressource
Artikel 35410 TSC prediction and dynamic control of BOF steelmaking with state-of-the-art machine learning and deep learning methods
Enthalten in Journal of iron and steel research, international Bd. 31, 4.1.2024, Nr. 1, date:1.2024: 174-194
Online Ressource


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