I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
A deep learning LSTM-based approach for forecasting annual ..:
Picornell, Antonio
;
Hurtado, Sandro
;
Antequera-Gómez, María Luisa
...
Computers in Biology and Medicine. 168 (2024) - p. 107706 , 2024
Link:
https://doi.org/10.1016/j.compbiomed.2023.107706
RT Journal T1
A deep learning LSTM-based approach for forecasting annual pollen curves: Olea and Urticaceae pollen types as a case study
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.compbiomed.2023.107706&Exemplar=1&LAN=DE A1 Picornell, Antonio A1 Hurtado, Sandro A1 Antequera-Gómez, María Luisa A1 Barba-González, Cristóbal A1 Ruiz-Mata, Rocío A1 de Gálvez-Montañez, Enrique A1 Recio, Marta A1 Trigo, María del Mar A1 Aldana-Montes, José F. A1 Navas-Delgado, Ismael PB Elsevier BV YR 2024 SN 0010-4825 JF Computers in Biology and Medicine VO 168 SP 107706 LK http://dx.doi.org/https://doi.org/10.1016/j.compbiomed.2023.107706 DO https://doi.org/10.1016/j.compbiomed.2023.107706 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)