Deep learning-based prediction of exceeding the criteria for river chlorophyll a concentrations using high-frequency data from a sensor network

A River Network Model Using a Weight-Based Merged Lstm for Multi-Source Monitoring Integration

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