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25761 |
Prediction of high-level cloud parameters based on polarization lidar observations using machine learning tools
Enthalten in Russian physics journal Bd. 67, 6.1.2025, Nr. 10, date:10.2024: 1766-1772
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25762 |
Prediction of high proliferative index in pituitary macroadenomas using MRI-based radiomics and machine learning
Enthalten in Neuroradiology Bd. 61, 2.8.2019, Nr. 12, date:12.2019: 1365-1373
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25763 |
Prediction of high-risk pregnancy based on machine learning algorithms
Enthalten in Scientific reports Bd. 15, 4.5.2025, Nr. 1, date:12.2025: 1-8
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25764 |
Prediction of hospital-acquired influenza using machine learning algorithms: a comparative study
Enthalten in BMC infectious diseases Bd. 24, 2.5.2024, Nr. 1, date:12.2024: 1-11
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25765 |
Prediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methods
Enthalten in BMC bioinformatics Bd. 10, 30.10.2009, Nr. 1, date:12.2009: 1-17
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25766 |
Prediction of HPC compressive strength based on machine learning
Enthalten in Scientific reports Bd. 14, 22.7.2024, Nr. 1, date:12.2024: 1-18
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25767 |
Prediction of hydraulic conductivity of sand with multivariate-index properties using optimal machine-learning-based regression models
Enthalten in Environmental earth sciences Bd. 83, 3.9.2024, Nr. 18, date:9.2024: 1-17
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25768 |
Prediction of impact sensitivity and electrostatic spark sensitivity for energetic compounds by machine learning and density functional theory
Enthalten in Journal of materials science Bd. 59, 13.5.2024, Nr. 20, date:5.2024: 8894-8910
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25769 |
Prediction of in-hospital mortality in patients on mechanical ventilation post traumatic brain injury: machine learning approach
Enthalten in BMC medical informatics and decision making Bd. 20, 14.12.2020, Nr. 1, date:12.2020: 1-11
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25770 |
Prediction of in-hospital mortality in patients with post traumatic brain injury using National Trauma Registry and Machine Learning Approach
Enthalten in Scandinavian journal of trauma, resuscitation and emergency medicine Bd. 28, 27.5.2020, Nr. 1, date:12.2020: 1-10
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