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
CNN-BiLSTM Based Demand Prediction for Shared Bicycles:
, In:
2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI)
,
Li, Haipeng
;
Shen, Lan
;
Li, Ying
... - p. 864-868 , 2023
Link:
https://doi.org/10.1109/RICAI60863.2023.10489232
RT T1 <cTitle>2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI)</cTitle>: T1 <Title>CNN-BiLSTM Based Demand Prediction for Shared Bicycles</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10489232&Exemplar=1&LAN=DE A1 Li, Haipeng A1 Shen, Lan A1 Li, Ying A1 Jing, Yanhong A1 Wang, Song A1 Lv, Tian YR 2023 K1 Measurement K1 Analytical models K1 Time series analysis K1 Demand forecasting K1 Transportation K1 Bicycles K1 Predictive models K1 Bicycle sharing K1 Demand Forecast K1 CNN K1 BiLSTM K1 CNN-BiLSTM SP 864 OP 868 LK http://dx.doi.org/https://doi.org/10.1109/RICAI60863.2023.10489232 DO https://doi.org/10.1109/RICAI60863.2023.10489232 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
