|
14181 |
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
|
|
|
|
14182 |
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
|
|
|
|
14183 |
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
|
|
|
|
14184 |
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
|
|
|
|
14185 |
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
|
|
|
|
14186 |
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
|
|
|
|
14187 |
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
|
|
|
|
14188 |
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.
|
|
|
|
14189 |
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
|
|
|
|
14190 |
Wrist accelerometry and machine learning sensitively capture disease progression in prodromal Parkinson’s disease
Enthalten in npj Parkinson's Disease Bd. 11, 17.6.2025, Nr. 1, date:12.2025: 1-7
|
|
Administration
