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Ergebnis der Suche nach: "Machine Learning"
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27331 - 27340 von 32673
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Artikel 27331 Modeling of pan evaporation based on the development of machine learning methods
Enthalten in Theoretical and applied climatology Bd. 146, 14.9.2021, Nr. 3-4, date:11.2021: 961-979
Online Ressource
Artikel 27332 Modeling of scour hole characteristics under turbulent wall jets using machine learning
Enthalten in Scientific reports Bd. 14, 6.7.2024, Nr. 1, date:12.2024: 1-16
Online Ressource
Artikel 27333 Modeling of slope stability for predicting classification steps and effective performance integrating supervised machine learning approaches
Enthalten in Modeling earth systems and environment Bd. 11, 10.7.2025, Nr. 5, date:10.2025: 1-20
Online Ressource
Artikel 27334 Modeling of Spring Phenology of Boreal Forest by Coupling Machine Learning and Diurnal Temperature Indicators
Enthalten in Chinese geographical science Bd. 35, 17.12.2024, Nr. 1, date:2.2025: 38-54
Online Ressource
Artikel 27335 Modeling of the chaotic situation in the recruitment processes
Enthalten in Advances in computational intelligence Bd. 3, 4.8.2023, Nr. 4, date:8.2023: 1-8
Online Ressource
Artikel 27336 Modeling of the hot-deformation behavior of Fe-Ni-Al maraging steel using constitutive equations and machine learning algorithms
Enthalten in Journal of materials science Bd. 59, 10.9.2024, Nr. 36, date:9.2024: 17237-17258
Online Ressource
Artikel 27337 Modeling of the Tonal Noise Characteristics in a Foil Flow by using Machine Learning
Enthalten in Optoelectronics, instrumentation and data processing Bd. 55, 14.6.2019, Nr. 2, date:3.2019: 205-211
Online Ressource
Artikel 27338 Modeling of Transport Coefficients in Nonequilibrium High-Speed Flows Using Machine Learning
Enthalten in Sankt-Peterburgskij gosudarstvennyj universitet: Vestnik / Mathematics Bd. 58, 6.8.2025, Nr. 3, date:9.2025: 428-437
Online Ressource
Artikel 27339 Modeling of trees failure under windstorm in harvested Hyrcanian forests using machine learning techniques
Enthalten in Scientific reports Bd. 11, 13.1.2021, Nr. 1, date:12.2021: 1-13
Online Ressource
Artikel 27340 Modeling of two-stage anaerobic onsite wastewater sanitation system to predict effluent soluble chemical oxygen demand through machine learning
Enthalten in Scientific reports Bd. 14, 21.1.2024, Nr. 1, date:12.2024: 1-14
Online Ressource


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