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1521 |
Near Field Breast Tumor Detection Using Ultra-Narrow Band Probe with Machine Learning Techniques
Enthalten in Scientific reports Bd. 8, 22.8.2018, Nr. 1, date:12.2018: 1-16
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1522 |
Network-based predictive models for artificial intelligence: an interpretable application of machine learning techniques in the assessment of depression in stroke patients
Enthalten in BMC geriatrics Bd. 25, 22.3.2025, Nr. 1, date:12.2025: 1-13
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1523 |
Network traffic reduction with spatially flexible optical networks using machine learning techniques
Enthalten in Optical and quantum electronics Bd. 55, 21.9.2023, Nr. 12, date:11.2023: 1-16
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1524 |
New Advances in Artificial Neural Networks and Machine Learning Techniques
Enthalten in Neural processing letters Bd. 55, 31.7.2023, Nr. 5, date:10.2023: 5269-5272
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1525 |
New approach for satellite DEM accuracy enhancement by combing machine learning, fuzzy majority voting, and weighted interpolation techniques
Enthalten in Innovative infrastructure solutions Bd. 9, 15.3.2024, Nr. 4, date:4.2024: 1-18
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1526 |
New Approach to Enhancing Student Performance Prediction Using Machine Learning Techniques and Clickstream Data in Virtual Learning Environments
Enthalten in SN Computer Science Bd. 6, 5.2.2025, Nr. 2, date:2.2025: 1-21
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1527 |
New empirical equation to estimate the soil moisture content based on thermal properties using machine learning techniques
Enthalten in Arabian journal of geosciences Bd. 13, 18.5.2020, Nr. 10, date:5.2020: 1-14
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1528 |
Non-alcoholic Fatty Liver and Liver Fibrosis Predictive Analytics: Risk Prediction and Machine Learning Techniques for Improved Preventive Medicine
Enthalten in Journal of medical systems Bd. 45, 11.1.2021, Nr. 2, date:2.2021: 1-12
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1529 |
Non-destructive chlorophyll prediction by machine learning techniques using RGB-based vegetation indices in wheat
Enthalten in Plant physiology reports Bd. 29, 20.11.2024, Nr. 4, date:12.2024: 836-847
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1530 |
Non-destructive estimation of mandarin orange fruit quality during the ripening stage using machine-learning-based spectroscopic techniques
Enthalten in Journal of food measurement and characterization Bd. 19, 13.12.2024, Nr. 2, date:2.2025: 862-875
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