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Found 3 papers, 1 papers with code
On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning Approaches
Climate change has increased the severity and frequency of weather disasters all around the world.
Paradigm Shift Through the Integration of Physical Methodology and Data Science
Data science methodologies, which have undergone significant developments recently, provide flexible representational performance and fast computational means to address the challenges faced by traditional scientific methodologies while revealing unprecedented challenges such as the interpretability of computations and the demand for extrapolative predictions on the amount of data.
Hybrid Scheme of Kinematic Analysis and Lagrangian Koopman Operator Analysis for Short-term Precipitation Forecasting
The advection currents are estimated by kinematic analysis, and the changes in physical quantities are estimated by Koopman operator analysis.
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