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This review summarizes recent advances in wind speed forecasting using artificial intelligence. It systematically analyzes ...
In recent years, clustering methods based on deep generative models have received great attention in various unsupervised applications, due to their capabilities for learning promising latent ...
The increasing automation in the design process of electrical machines for vehicles generates huge amounts of data, leading to a growing interest in using machine learning for faster predictions and ...
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