TY  - JOUR
AU  - Fournier, Claudia
AU  - Fernández Fernández, Raúl
AU  - Cirés, Samuel
AU  - López Orozco, José Antonio
AU  - Besada Portas, Eva
AU  - Quesada, Antonio
PY  - 2024
DO  - 10.1016/j.watres.2024.122553
SN  - 0043-1354
UR  - https://hdl.handle.net/20.500.14352/108966
T2  - Water Research
AB  - Cyanobacteria are the most frequent dominant species of algal blooms in inland waters, threatening ecosystem function and water quality, especially when toxin-producing strains predominate. Enhanced by anthropogenic activities and global warming,...
LA  - eng
M2  - 122553-1
PB  - Elsevier
KW  - Phycocyanin fluorescence
KW  - Early warning
KW  - Risk assessment
KW  - Time-series
KW  - Deep learning
KW  - Artificial intelligence
TI  - LSTM networks provide efficient cyanobacterial blooms forecasting even with incomplete spatio-temporal data
TY  - journal article
VL  - 267
ER  -