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38681 - 38690 von 38721
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Artikel 38681 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
Online Ressource
Artikel 38682 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
Online Ressource
Artikel 38683 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
Online Ressource
Artikel 38684 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
Online Ressource
Artikel 38685 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
Online Ressource
Artikel 38686 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
Online Ressource
Artikel 38687 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
Online Ressource
Artikel 38688 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
Online Ressource
Artikel 38689 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
Online Ressource
Artikel 38690 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
Online Ressource


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