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tit all "Machine Learning Techniques"
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1001 - 1010 von 1449
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1001
Facial Expression Recognition Using Machine Learning and Deep Learning Techniques: A Systematic Review
Enthalten in SN Computer Science Bd. 5, 13.4.2024, Nr. 4, date:4.2024: 1-26
1002
Facile and highly precise pH-value estimation using common pH paper based on machine learning techniques and supported mobile devices
Enthalten in Scientific reports Bd. 12, 30.12.2022, Nr. 1, date:12.2022: 1-10
1003
Factors contributing to chronic ankle instability in parcel delivery workers based on machine learning techniques
Enthalten in BMC medical informatics and decision making Bd. 25, 13.2.2025, Nr. 1, date:12.2025: 1-12
1004
Factors influencing psychological distress among breast cancer survivors using machine learning techniques
Enthalten in Scientific reports Bd. 14, 1.7.2024, Nr. 1, date:12.2024: 1-10
1005
FARMIT: continuous assessment of crop quality using machine learning and deep learning techniques for IoT-based smart farming
Enthalten in Cluster computing Bd. 25, 31.3.2022, Nr. 3, date:6.2022: 2163-2178
1006
Feasibility study of stain-free classification of cell apoptosis based on diffraction imaging flow cytometry and supervised machine learning techniques
Enthalten in Apoptosis Bd. 23, 16.4.2018, Nr. 5-6, date:6.2018: 290-298
1007
Feature extraction from MRI ADC images for brain tumor classification using machine learning techniques
Enthalten in Biomedical engineering online Bd. 21, 1.8.2022, Nr. 1, date:12.2022: 1-21
1008
Feature selection techniques for machine learning: a survey of more than two decades of research
Enthalten in Knowledge and information systems Bd. 66, 1.12.2023, Nr. 3, date:3.2024: 1575-1637
1009
Filtering artificial texts with statistical machine learning techniques
Enthalten in Language resources and evaluation Bd. 45, 16.1.2010, Nr. 1, date:3.2011: 25-43
1010
Financial fraud detection through the application of machine learning techniques: a literature review
Enthalten in Humanities and Social Sciences Communications Bd. 11, 3.9.2024, Nr. 1, date:12.2024: 1-22
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