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 hybrid deep learning method for the prediction of ship ti..:
Ma, Quandang
;
Du, Xu
;
Liu, Cong
...
Engineering Applications of Artificial Intelligence. 133 (2024) - p. 108172 , 2024
Link:
https://doi.org/10.1016/j.engappai.2024.108172
RT Journal T1
A hybrid deep learning method for the prediction of ship time headway using automatic identification system data
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.engappai.2024.108172&Exemplar=1&LAN=DE A1 Ma, Quandang A1 Du, Xu A1 Liu, Cong A1 Jiang, Yuting A1 Liu, Zhao A1 Xiao, Zhe A1 Zhang, Mingyang PB Elsevier BV YR 2024 SN 0952-1976 JF Engineering Applications of Artificial Intelligence VO 133 SP 108172 LK http://dx.doi.org/https://doi.org/10.1016/j.engappai.2024.108172 DO https://doi.org/10.1016/j.engappai.2024.108172 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)