Martín-Suazo, S. and Morón-López, J. and Vakaruk, S. and Karamchandani, A. and Pascual, J.A. and Mozo, A. and Gómez-Canaval, S. and Vinyals, M. and Ortiz, J.M. (2024) Deep learning methods for multi-horizon long-term forecasting of Harmful Algal Blooms. Knowledge-Based Systems, 301. p. 112279. ISSN 09507051
|
Text (Open access)
1-s2.0-S0950705124009134-main (1).pdf - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (2981Kb) | Preview |
Official URL: http://dx.doi.org/10.1016/j.knosys.2024.112279
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > Q Science (General) T Technology > TD Environmental technology. Sanitary engineering |
| Depositing User: | José Ángel Gómez Martín |
| Date Deposited: | 30 Jul 2024 08:59 |
| Last Modified: | 12 Aug 2024 12:52 |
| URI: | http://eprints.imdea-agua.org:13000/id/eprint/1651 |
Actions (login required)
 |
View Item |
