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Ergebnis der Suche nach: tit all "Machine Learning Techniques"
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Artikel 1451 Study regarding the influence of a student’s personality and an LMS usage profile on learning performance using machine learning techniques
Enthalten in Applied intelligence Bd. 54, 8.5.2024, Nr. 8, date:4.2024: 6175-6197 		Online Ressource
Artikel 1452 Supervised and unsupervised machine learning techniques for predicting mechanical properties of coconut fiber reinforced concrete
Enthalten in Asian journal of civil engineering Bd. 25, 2.4.2024, Nr. 5, date:7.2024: 3879-3899 		Online Ressource
Artikel 1453 Surface Roughness and Printing Time Minimization in 3D Printed Aramid Fiber Reinforced Polyamide Parts through Taguchi-CoCoSo-Machine Learning Techniques
Enthalten in Journal of materials engineering and performance Bd. 34, 8.5.2025, Nr. 11, date:6.2025: 9654-9680 		Online Ressource
Artikel 1454 Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions
Enthalten in International journal of computer assisted radiology and surgery Bd. 11, 8.10.2015, Nr. 4, date:4.2016: 553-568 		Online Ressource
Artikel 1455 Survey of machine learning techniques for Arabic fake news detection
Enthalten in Artificial intelligence review Bd. 57, 28.5.2024, Nr. 6, date:6.2024: 1-33 		Online Ressource
Artikel 1456 Survey on Machine Learning and Deep Learning Techniques for Agriculture Land
Enthalten in SN Computer Science Bd. 2, 18.10.2021, Nr. 6, date:11.2021: 1-12 		Online Ressource
Artikel 1457 Survival prediction models since liver transplantation - comparisons between Cox models and machine learning techniques
Enthalten in BMC medical research methodology Bd. 20, 16.11.2020, Nr. 1, date:12.2020: 1-14 		Online Ressource
Artikel 1458 Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques
Enthalten in Scientific reports Bd. 14, 29.1.2024, Nr. 1, date:12.2024: 1-12 		Online Ressource
Artikel 1459 Swarm optimization based heterogeneous machine learning techniques for enhanced landslide susceptibility assessment with comprehensive uncertainty quantification
Enthalten in Earth science informatics Bd. 18, 4.1.2025, Nr. 1, date:1.2025: 1-34 		Online Ressource
Artikel 1460 Symptom clusters among cancer survivors: what can machine learning techniques tell us?
Enthalten in BMC medical research methodology Bd. 21, 16.8.2021, Nr. 1, date:12.2021: 1-12 		Online Ressource


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