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Ergebnis der Suche nach: "Machine Learning"
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40891 - 40900 von 40930

	40891	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
	40892	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
	40893	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
	40894	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
	40895	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
	40896	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
	40897	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
	40898	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
	40899	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
	40900	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