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25861 |
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
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25862 |
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
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25863 |
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
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25864 |
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
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25865 |
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
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25866 |
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
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25867 |
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
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25868 |
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
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25869 |
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
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25870 |
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
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