18 citations · 18 across the 2 of their papers we have counts for
3 papers
Methodology for Online Estimation of Rheological Parameters in Polymer Melts Using Deep Learning and Microfluidics
Juan Sandubete-López, José L. Risco-Martín, Alexander H. McMillan +1
Microfluidic devices are increasingly used in biological and chemical experiments due to their cost-effectiveness for rheological estimation in fluids. However, these devices often…
LSTM networks provide efficient cyanobacterial blooms forecasting even with incomplete spatio-temporal data
Claudia Fournier, Raul Fernandez-Fernandez, Samuel Cirés +3
Cyanobacteria are the most frequent dominant species of algal blooms in inland waters, threatening ecosystem function and water quality, especially when toxin-producing strains pre…
Simulation-driven engineering for the management of harmful algal and cyanobacterial blooms
José L. Risco-Martín, Segundo Esteban, Jesús Chacón +3
Harmful Algal and Cyanobacterial Blooms (HABs), occurring in inland and maritime waters, pose threats to natural environments by producing toxins that affect human and animal healt…