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34091 |
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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34092 |
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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34093 |
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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34094 |
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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34095 |
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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34096 |
Prediction of stent under-expansion in calcified coronary arteries using machine learning on intravascular optical coherence tomography images
Enthalten in Scientific reports Bd. 13, 23.10.2023, Nr. 1, date:12.2023: 1-12
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34097 |
Prediction of strength properties of concrete under the influence of recycled aggregate using machine learning models
Enthalten in Interactions Bd. 245, 8.11.2024, Nr. 1, date:12.2024: 1-21
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34098 |
Prediction of subsequent fragility fractures: application of machine learning
Enthalten in BMC musculoskeletal disorders Bd. 25, 4.6.2024, Nr. 1, date:12.2024: 1-10
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34099 |
Prediction of Subway Vibration Values on the Ground Level Using Machine Learning
Enthalten in Geotechnical and geological engineering Bd. 41, 22.5.2023, Nr. 6, date:8.2023: 3753-3766
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34100 |
Prediction of successful aging using ensemble machine learning algorithms
Enthalten in BMC medical informatics and decision making Bd. 22, 3.10.2022, Nr. 1, date:12.2022: 1-16
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