A deep learning LSTM-based approach for forecasting annual pollen curves: Olea and Urticaceae pollen types as a case study

  1. Picornell, A.
  2. Hurtado, S.
  3. Antequera-Gómez, M.L.
  4. Barba-González, C.
  5. Ruiz-Mata, R.
  6. de Gálvez-Montañez, E.
  7. Recio, M.
  8. Trigo, M.D.M.
  9. Aldana-Montes, J.F.
  10. Navas-Delgado, I.
Journal:
Computers in Biology and Medicine

ISSN: 1879-0534 0010-4825

Year of publication: 2024

Volume: 168

Type: Article

DOI: 10.1016/J.COMPBIOMED.2023.107706 GOOGLE SCHOLAR lock_openOpen access editor HANDLE: https://hdl.handle.net/10630/29461
RIUMA. Repositorio Institucional de la Universidad de Málaga: lock_openOpen access Handle

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