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26591 |
Supporting elimination of lymphatic filariasis in Samoa by predicting locations of residual infection using machine learning and geostatistics
Enthalten in Scientific reports Bd. 10, 25.11.2020, Nr. 1, date:12.2020: 1-11
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26592 |
Supporting the decision to perform molecular profiling for cancer patients based on routinely collected data through the use of machine learning
Enthalten in Clinical and experimental medicine Bd. 24, 10.4.2024, Nr. 1, date:12.2024: 1-14
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26593 |
Supporting visual quality assessment with machine learning
Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on image and video processing Bd. 2013, 23.9.2013, Nr. 1, date:12.2013: 1-15
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26594 |
Suppressing unknown disturbances to dynamical systems using machine learning
Enthalten in Communications Physics Bd. 7, 19.12.2024, Nr. 1, date:12.2024: 1-9
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26595 |
Surface quality prediction by machine learning methods and process parameter optimization in ultra-precision machining of AISI D2 using CBN tool
Enthalten in The international journal of advanced manufacturing technology Bd. 129, 29.9.2023, Nr. 3-4, date:11.2023: 1375-1394
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26596 |
Surface roughness prediction of AISI D2 tool steel during powder mixed EDM using supervised machine learning
Enthalten in Scientific reports Bd. 14, 27.4.2024, Nr. 1, date:12.2024: 1-12
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26597 |
Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions
Enthalten in International journal of computer assisted radiology and surgery Bd. 11, 8.10.2015, Nr. 4, date:4.2016: 553-568
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26598 |
Surgical skill level classification model development using EEG and eye-gaze data and machine learning algorithms
Enthalten in Journal of robotic surgery Bd. 17, 21.10.2023, Nr. 6, date:12.2023: 2963-2971
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26599 |
Surgical Tool Datasets for Machine Learning Research: A Survey
Enthalten in International journal of computer vision Bd. 130, 12.7.2022, Nr. 9, date:9.2022: 2222-2248
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26600 |
Surrogate markers of insulin resistance and coronary artery disease in type 2 diabetes: U-shaped TyG association and insights from machine learning integration
Enthalten in Lipids in health and disease Bd. 24, 15.3.2025, Nr. 1, date:12.2025: 1-15
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Administration
