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13731 |
Using machine learning and a data-driven approach to identify the small fatigue crack driving force in polycrystalline materials
Enthalten in npj computational materials Bd. 4, 16.7.2018, Nr. 1, date:12.2018: 1-10
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13732 |
Using machine learning and natural language processing in triage for prediction of clinical disposition in the emergency department
Enthalten in BMC emergency medicine Bd. 24, 18.12.2024, Nr. 1, date:12.2024: 1-18
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13733 |
Using machine learning approach for screening metastatic biomarkers in colorectal cancer and predictive modeling with experimental validation
Enthalten in Scientific reports Bd. 13, 8.11.2023, Nr. 1, date:12.2023: 1-17
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13734 |
Using machine learning-based algorithms to construct cardiovascular risk prediction models for Taiwanese adults based on traditional and novel risk factors
Enthalten in BMC medical informatics and decision making Bd. 24, 22.7.2024, Nr. 1, date:12.2024: 1-8
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13735 |
Using machine learning-based radiomics to differentiate between glioma and solitary brain metastasis from lung cancer and its subtypes
Enthalten in Discover oncology Bd. 14, 6.12.2023, Nr. 1, date:12.2023: 1-10
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13736 |
USING MACHINE LEARNING CLASSIFIERS AND REGRESSION MODELS FOR ESTIMATING THE STAND AGES OF FALCATA PLANTATIONS FROM SENTINEL DATA
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W6-2022, 2023: 465-472. 8 S.
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13737 |
USING MACHINE LEARNING COUPLED WITH REMOTE SENSING FOR FOREST FIRE SUSCEPTIBILITY MAPPING. CASE STUDY TETOUAN PROVINCE, NORTHERN MOROCCO
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W6-2022, 2023: 333-342. 10 S.
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13738 |
Using machine learning for communication classification
Enthalten in Experimental economics Bd. 22, 14.2.2019, Nr. 4, date:12.2019: 1002-1029
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13739 |
Using machine learning for early detection of chronic obstructive pulmonary disease: a narrative review
Enthalten in Respiratory research Bd. 25, 9.9.2024, Nr. 1, date:12.2024: 1-9
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13740 |
Using machine learning for model benchmarking and forecasting of depletion-induced seismicity in the Groningen gas field
Enthalten in Computational geosciences Bd. 25, 3.1.2021, Nr. 1, date:2.2021: 529-551
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