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A deep learning LSTM-based approach for forecasting annual pollen curves: Olea and Urticaceae pollen types as a case study.
Picornell, Antonio; Hurtado, Sandro; Antequera-Gómez, María Luisa; Barba-González, Cristóbal; Ruiz-Mata, Rocío; de Gálvez-Montañez, Enrique; Recio, Marta; Trigo, María Del Mar; Aldana-Montes, José F; Navas-Delgado, Ismael.
Affiliation
  • Picornell A; Department of Botany and Plant Physiology, University of Malaga, Malaga 29071, Spain. Electronic address: picornell@uma.es.
  • Hurtado S; Dept. de Lenguajes y Ciencias de la Computación, ITIS Software, Universidad de Málaga, Málaga 29071, Spain. Electronic address: sandrohr@uma.es.
  • Antequera-Gómez ML; Dept. de Lenguajes y Ciencias de la Computación, ITIS Software, Universidad de Málaga, Málaga 29071, Spain. Electronic address: marialan@uma.es.
  • Barba-González C; Dept. de Lenguajes y Ciencias de la Computación, ITIS Software, Universidad de Málaga, Málaga 29071, Spain. Electronic address: cbarba@uma.es.
  • Ruiz-Mata R; Department of Botany and Plant Physiology, University of Malaga, Malaga 29071, Spain. Electronic address: roruizmata@uma.es.
  • de Gálvez-Montañez E; Department of Botany and Plant Physiology, University of Malaga, Malaga 29071, Spain. Electronic address: kikedegalvez@uma.es.
  • Recio M; Department of Botany and Plant Physiology, University of Malaga, Malaga 29071, Spain. Electronic address: martarc@uma.es.
  • Trigo MDM; Department of Botany and Plant Physiology, University of Malaga, Malaga 29071, Spain. Electronic address: aerox@uma.es.
  • Aldana-Montes JF; Dept. de Lenguajes y Ciencias de la Computación, ITIS Software, Universidad de Málaga, Málaga 29071, Spain. Electronic address: jfaldana@uma.es.
  • Navas-Delgado I; Dept. de Lenguajes y Ciencias de la Computación, ITIS Software, Universidad de Málaga, Málaga 29071, Spain. Electronic address: ismael@uma.es.
Comput Biol Med ; 168: 107706, 2024 01.
Article in En | MEDLINE | ID: mdl-37989073
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Urticaceae / Olea / Deep Learning Country/Region as subject: Europa Language: En Journal: Comput Biol Med Year: 2024 Type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Urticaceae / Olea / Deep Learning Country/Region as subject: Europa Language: En Journal: Comput Biol Med Year: 2024 Type: Article