Jae-Ki Shin

Predicting Chlorophyll-a Concentrations in the World’s Largest Lakes Using Kolmogorov-Arnold Networks

Monitoring phycocyanin in global inland waters by remote sensing: Progress and future developments

Deep-learning and data-resampling: A novel approach to predict cyanobacterial alert levels in a reservoir

Improving the performance of machine learning models for early warning of harmful algal blooms using an adaptive synthetic sampling method