Generally, the present disclosure is directed to using machine learning to dissipate or otherwise combat a cyclone. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict characteristics of a cyclone (or infant cyclone which can be referred to as a cyclet) such as location, path, strength, number of anti-cyclone devices needed to combat the cyclone, positioning of the anti-cyclone devices, etc. based on information descriptive of the cyclone including imagery of the cyclone or other collected data such as, for example, wind speed and water temperature.
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N/A, "Machine Learning to Dissipate a Cyclone", Technical Disclosure Commons, (December 14, 2017)