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Ergebnis der Suche nach: "Machine Learning"
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34091 - 34100 von 36993
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Artikel 34091 Prediction of soil organic carbon and total nitrogen affected by mine using Vis–NIR spectroscopy coupled with machine learning algorithms in calcareous soils
Enthalten in Scientific reports Bd. 14, 14.11.2024, Nr. 1, date:12.2024: 1-13
Online Ressource
Artikel 34092 Prediction of soil-rice selenium transfer by machine learning
Enthalten in Journal of soils and sediments Bd. 25, 13.2.2025, Nr. 3, date:3.2025: 770-779
Online Ressource
Artikel 34093 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 34094 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 34095 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 34096 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 34097 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 34098 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 34099 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 34100 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


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