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1501 - 1510 von 1574

	1501	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
	1502	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
	1503	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
	1504	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
	1505	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
	1506	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
	1507	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
	1508	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
	1509	Synergetic use of geospatial and machine learning techniques in modelling landslide susceptibility in parts of Shimla to Kinnaur National Highway, Himachal Pradesh Enthalten in Modeling earth systems and environment Bd. 10, 18.4.2024, Nr. 3, date:6.2024: 4163-4183
	1510	Synergistic integration of Multi-View Brain Networks and advanced machine learning techniques for auditory disorders diagnostics Enthalten in Brain Informatics Bd. 11, 14.1.2024, Nr. 1, date:12.2024: 1-13

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