A modular deep learning surrogate model for simulating harmful algal blooms in complex process-based systems

Modeling ecosystem-wide responses to environmental stressors: A multi-trophic hierarchical Bayesian network approach

Long-term spatiotemporal variability and regime classification of Chlorophyll-a concentrations in Lake Erie using satellite products

Spatiotemporal dynamics of summer chlorophyll-a concentrations under varying drought conditions in a hierarchical Bayesian model

The analysis of spatiotemporal effects of environmental factors on harmful algal blooms in a bloom-prone river using partial least squares structural equation modeling

A river network model using a weight-based merged LSTM for multi-source monitoring integration

Chimp Optimization Algorithm based Recurrent Neural Network for Smart Health Care System in Edge computing based IoMT

Synthetic data-augmented machine learning approaches for tailor-made microbial conversion of methane to phytoene

Generalizable deep learning forecasting of harmful algal blooms using transfer learning across river systems

Geographically weighted machine learning for predicting the spatial distribution of groundwater nitrate nitrogen (NO3-N) concentration