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Ergebnis der Suche nach: "Machine Learning"
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41951 - 41960 von 41991

	41951	Wind speed prediction based on variational mode decomposition and advanced machine learning models in zaafarana, Egypt Enthalten in Scientific reports Bd. 15, 4.5.2025, Nr. 1, date:12.2025: 1-12
	41952	Wind speed prediction for site selection and reliable operation of wind power plants in coastal regions using machine learning algorithm variants Enthalten in Sustainable energy research Bd. 11, 1.2.2024, Nr. 1, date:12.2024: 1-26
	41953	Wind Turbine Remaining Useful Life Prediction Using Small Dataset and Machine Learning Techniques Enthalten in Journal of control, automation and electrical systems Bd. 35, 4.3.2024, Nr. 2, date:4.2024: 337-345
	41954	Wing Interferential Patterns (WIPs) and machine learning for the classification of some Aedes species of medical interest Enthalten in Scientific reports Bd. 13, 17.10.2023, Nr. 1, date:12.2023: 1-12
	41955	Wing Interferential Patterns (WIPs) and machine learning, a step toward automatized tsetse (Glossina spp.) identification Enthalten in Scientific reports Bd. 12, 22.11.2022, Nr. 1, date:12.2022: 1-15
	41956	Wink based facial expression classification using machine learning approach Enthalten in SN applied sciences Bd. 2, 10.1.2020, Nr. 2, date:2.2020: 1-9
	41957	Winning determinants between top and second division in Chinese professional football leagues: an interpretable machine learning approach Enthalten in BMC sports science, medicine & rehabilitation Bd. 17, 21.4.2025, Nr. 1, date:12.2025: 1-11
	41958	Wireless Personal Communications: Machine Learning for Big Data Processing in Mobile Internet Enthalten in Wireless personal communications Bd. 102, 30.8.2018, Nr. 3, date:10.2018: 2093-2098
	41959	Wireless Spatial Analysis-Based Predictive Analysis and Environmental Data Optimisation Using Machine Learning Model Enthalten in Remote sensing in earth systems sciences Bd. 7, 9.3.2024, Nr. 1, date:3.2024: 26-36
	41960	WISP2/CCN5 revealed as a potential diagnostic biomarker for endometriosis based on machine learning and single-cell transcriptomic analysis Enthalten in Functional & integrative genomics Bd. 25, 19.6.2025, Nr. 1, date:12.2025: 1-23

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