2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2023
On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning Approaches
Kevin Iselborn, Marco Stricker, Takashi Miyamoto +2
Climate change has increased the severity and frequency of weather disasters all around the world. Flood inundation mapping based on earth observation data can help in this context…
physics.data-an2021
Paradigm Shift Through the Integration of Physical Methodology and Data Science
Takashi Miyamoto
Data science methodologies, which have undergone significant developments recently, provide flexible representational performance and fast computational means to address the challe…
physics.comp-ph2020★ 2 cited
Hybrid Scheme of Kinematic Analysis and Lagrangian Koopman Operator Analysis for Short-term Precipitation Forecasting
Shitao Zheng, Takashi Miyamoto, Koyuru Iwanami +2
With the accumulation of meteorological big data, data-driven models for short-term precipitation forecasting have shown increasing promise. We focus on Koopman operator analysis,…