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15161 - 15170 von 15184

	15161	Wind power forecasting and economics of energy arbitrage in electricity market using machine learning techniques Enthalten in Discover sustainability Bd. 6, 30.9.2025, Nr. 1, date:12.2025: 1-17
	15162	Wind speed and power forecasting using Bayesian optimized machine learning models in Gabal Al-Zayt, Egypt Enthalten in Scientific reports Bd. 15, 5.8.2025, Nr. 1, date:12.2025: 1-25
	15163	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
	15164	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
	15165	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
	15166	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
	15167	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
	15168	With super SDMs (machine learning, open access big data, and the cloud) towards more holistic global squirrel hotspots and coldspots Enthalten in Scientific reports Bd. 14, 3.3.2024, Nr. 1, date:12.2024: 1-10
	15169	WOOD-LEAF UNSUPERVISED CLASSIFICATION OF SILVER BIRCH TREES FOR BIOMASS ASSESSMENT USING OBLIQUE POINT CLOUDS Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-1/W2-2023, 2023: 1795-1802. 8 S.
	15170	WorMachine: machine learning-based phenotypic analysis tool for worms Enthalten in BMC biology Bd. 16, 16.1.2018, Nr. 1, date:12.2018: 1-11

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