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26601 |
Supervised multi-regional segmentation machine learning architecture for digital twin applications in coastal regions
Enthalten in Journal of coastal conservation Bd. 28, 1.3.2024, Nr. 2, date:4.2024: 1-15
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26602 |
Supervized machine learning: Computer-aided development of a specialized dictionary
Enthalten in Automatic documentation and mathematical linguistics Bd. 50, 31.7.2016, Nr. 3, date:5.2016: 104-111
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26603 |
Support vector machine based machine learning method for GS 8QAM constellation classification in seamless integrated fiber and visible light communication system
Enthalten in Science China / Information sciences Bd. 63, 21.9.2020, Nr. 10, date:10.2020: 1-12
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26604 |
Support vector machine learning algorithm and transduction
Enthalten in Computational statistics Bd. 15, 7.9.2000, Nr. 1, date:3.2000: 31-39
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26605 |
Support vector machine learning with an evolutionary engine
Enthalten in Operational Research Society: Journal of the Operational Research Society Bd. 60, 19.11.2008, Nr. 8, date:8.2009: 1116-1122
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26606 |
Supporting an Expert-centric Process of New Product Introduction With Statistical Machine Learning
Enthalten in Business information systems Bd. 1, 02.07.2021
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26607 |
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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26608 |
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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26609 |
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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26610 |
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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