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
Preliminary development of a prediction model for daily str..:
Katsuki, Masahito
;
Narita, Norio
;
Ishida, Naoya
...
Surgical Neurology International. 12 (2021) - p. 31 , 2021
Link:
https://doi.org/10.25259/sni_774_2020
RT Journal T1
Preliminary development of a prediction model for daily stroke occurrences based on meteorological and calendar information using deep learning framework (Prediction One; Sony Network Communications Inc., Japan)
UL https://suche.suub.uni-bremen.de/peid=cr-10.25259_sni_774_2020&Exemplar=1&LAN=DE A1 Katsuki, Masahito A1 Narita, Norio A1 Ishida, Naoya A1 Watanabe, Ohmi A1 Cai, Siqi A1 Ozaki, Dan A1 Sato, Yoshimichi A1 Kato, Yuya A1 Jia, Wenting A1 Nishizawa, Taketo A1 Kochi, Ryuzaburo A1 Sato, Kanako A1 Tominaga, Teiji PB Scientific Scholar YR 2021 SN 2152-7806 JF Surgical Neurology International VO 12 SP 31 LK http://dx.doi.org/https://doi.org/10.25259/sni_774_2020 DO https://doi.org/10.25259/sni_774_2020 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)