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Ergebnis der Suche nach: tit all "Machine Learning Techniques"
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Artikel 1001 Exploring the Landscape of IoT Ransomware Prediction Through Machine Learning Techniques: A Comprehensive Survey
Enthalten in SN Computer Science Bd. 6, 10.3.2025, Nr. 3, date:3.2025: 1-30 		Online Ressource
Artikel 1002 Exploring the trend of recognizing apple leaf disease detection through machine learning: a comprehensive analysis using bibliometric techniques
Enthalten in Artificial intelligence review Bd. 57, 30.1.2024, Nr. 2, date:2.2024: 1-26 		Online Ressource
Artikel 1003 Exposing factors influencing Korean leisure life satisfaction through machine learning techniques
Enthalten in Discover artificial intelligence Bd. 4, 23.11.2024, Nr. 1, date:12.2024: 1-15 		Online Ressource
Artikel 1004 Extreme learning machine and ensemble techniques for classification of rolling element bearing defects
Enthalten in Life cycle reliability and safety engineering Bd. 11, 3.6.2022, Nr. 2, date:6.2022: 189-201 		Online Ressource
Artikel 1005 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 		Online Ressource
Artikel 1006 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 		Online Ressource
Artikel 1007 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 		Online Ressource
Artikel 1008 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 		Online Ressource
Artikel 1009 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 		Online Ressource
Artikel 1010 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 		Online Ressource


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