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Ergebnis der Suche nach: "Machine Learning"
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39121 - 39130 von 39163

	39121	Wind farm sites selection using a machine learning approach and geographical information systems in Türkiye Enthalten in Discover computing Bd. 28, 27.3.2025, Nr. 1, date:12.2025: 1-18
	39122	Wind power forecasting based on hourly wind speed data in South Korea using machine learning algorithms Enthalten in Journal of mechanical science and technology Bd. 36, 3.10.2022, Nr. 12, date:12.2022: 6107-6113
	39123	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
	39124	Wind Speed Forecasting at Different Time Scales Using Time Series and Machine Learning Models Enthalten in Applied solar energy Bd. 58, 24.3.2023, Nr. 5, date:10.2022: 708-721
	39125	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
	39126	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
	39127	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
	39128	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
	39129	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
	39130	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