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26021 |
PREDICTION OF DEFORMATION CAUSED BY LANDSLIDES BASED ON GRAPH CONVOLUTION NETWORKS ALGORITHM AND DINSAR TECHNIQUE
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-4/W1-2022, 2023: 391-397. 7 S.
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26022 |
Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods
Enthalten in BMC medical informatics and decision making Bd. 15, 14.10.2015, Nr. 1, date:12.2015: 1-10
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26023 |
Prediction of dengue outbreak in Selangor Malaysia using machine learning techniques
Enthalten in Scientific reports Bd. 11, 13.1.2021, Nr. 1, date:12.2021: 1-9
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26024 |
Prediction of depression risk in middle-aged and elderly Cardiovascular-Kidney-Metabolic syndrome patients by social and environmental determinants of health: an interpretable machine learning approach using longitudinal data from China
Enthalten in Journal of health, population and nutrition Bd. 44, 4.6.2025, Nr. 1, date:12.2025: 1-15
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26025 |
Prediction of depressive disorder using machine learning approaches: findings from the NHANES
Enthalten in BMC medical informatics and decision making Bd. 25, 17.2.2025, Nr. 1, date:12.2025: 1-12
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26026 |
Prediction of diabetes disease using an ensemble of machine learning multi-classifier models
Enthalten in BMC bioinformatics Bd. 24, 12.9.2023, Nr. 1, date:12.2023: 1-24
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26027 |
Prediction of disease progression and outcomes in multiple sclerosis with machine learning
Enthalten in Scientific reports Bd. 10, 3.12.2020, Nr. 1, date:12.2020: 1-13
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26028 |
Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations
Enthalten in BMC bioinformatics Bd. 14, 14.1.2013, Nr. 1, date:1.2013: 1-8
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26029 |
Prediction of Driver’s Drowsiness Using Machine Learning Algorithms for Minimal Risk Condition
Enthalten in International journal of automotive technology Bd. 23, 10.8.2022, Nr. 4, date:8.2022: 917-926
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26030 |
Prediction of durability of the concrete using electro-mechanical impendence technique: an experimental and machine learning approaches
Enthalten in Asian journal of civil engineering Bd. 26, 6.11.2024, Nr. 2, date:2.2025: 701-717
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