AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Experimental results show that the hybrid MVA based models outperforms the traditional classifiers in terms of prediction accuracy, computational efficiency and feature optimization.
A full- stack machine learning -based Early Warning System (EWS) for predicting rainfall levels and detecting potential cloudburst events is presented, providing a practical link between complex meteorological artificial intelligence and user-friendly emergency response platform synoptic macro scale forecasting.
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