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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

26511 - 26520 von 29440
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Artikel 26511 Prediction of soil salinity in the Upputeru river estuary catchment, India, using machine learning techniques
Enthalten in Environmental monitoring and assessment Bd. 195, 28.7.2023, Nr. 8, date:8.2023: 1-19
Online Ressource
Artikel 26512 Prediction of soil water characteristic curve of unsaturated soil using machine learning
Enthalten in Multiscale and multidisciplinary modeling, experiments and design Bd. 8, 23.11.2024, Nr. 1, date:1.2025: 1-17
Online Ressource
Artikel 26513 Prediction of Solar Flares and Background Fluxes of X-Ray Radiation According to Synoptic Ground-Based Observations Using Machine-Learning Models
Enthalten in Cosmic research Bd. 58, 13.11.2020, Nr. 6, date:11.2020: 444-449
Online Ressource
Artikel 26514 Prediction of Solubility of Proteins in Escherichia coli Based on Functional and Structural Features Using Machine Learning Methods
Enthalten in The protein journal Bd. 43, 7.9.2024, Nr. 5, date:10.2024: 983-996
Online Ressource
Artikel 26515 Prediction of Sooting Index of Fuel Compounds for Spark-Ignition Engine Applications Based on a Machine Learning Approach
Enthalten in Journal of thermal science Bd. 32, 15.2.2023, Nr. 2, date:3.2023: 521-530
Online Ressource
Artikel 26516 Prediction of spontaneous combustion susceptibility of coal seams based on coal intrinsic properties using various machine learning tools
Enthalten in Environmental science and pollution research Bd. 30, 4.5.2023, Nr. 26, date:6.2023: 69564-69579
Online Ressource
Artikel 26517 Prediction of sports fatigue degree based on spectral sensors and machine learning algorithms
Enthalten in Optical and quantum electronics Bd. 56, 18.2.2024, Nr. 4, date:4.2024: 1-17
Online Ressource
Artikel 26518 Prediction of STAS in lung adenocarcinoma with nodules ≤ 2 cm using machine learning: a multicenter retrospective study
Enthalten in BMC cancer Bd. 25, 7.3.2025, Nr. 1, date:12.2025: 1-13
Online Ressource
Artikel 26519 Prediction of State-to-State Dissociation Rate Coefficients Using Machine-Learning Algorithms
Enthalten in Sankt-Peterburgskij gosudarstvennyj universitet: Vestnik / Mathematics Bd. 57, 28.1.2025, Nr. 4, date:12.2024: 584-592
Online Ressource
Artikel 26520 Prediction of Static Liquefaction Susceptibility of Sands Containing Plastic Fines Using Machine Learning Techniques
Enthalten in Geotechnical and geological engineering Bd. 41, 3.4.2023, Nr. 5, date:7.2023: 3057-3074
Online Ressource


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