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
Structural Damage Detection of a Concrete Based on the Auto..:
, In:
Proceedings of the 9th International Conference on Signal Processing Systems
,
Hoshyar, Azadeh Noori
;
Kharkovsky, Sergey
;
Taghavipour, Saber
.. - p. 57-61 , 2017
Link:
https://dl.acm.org/doi/10.1145/3163080.3163120
RT T1 <cTitle>Proceedings of the 9th International Conference on Signal Processing Systems</cTitle>: T1 <Title>Structural Damage Detection of a Concrete Based on the Autoregressive All-pole Model Parameters and Artificial Intelligence Techniques</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3163120&Exemplar=1&LAN=DE A1 Hoshyar, Azadeh Noori A1 Kharkovsky, Sergey A1 Taghavipour, Saber A1 Samali, Bijan A1 Liyanapathirana, Ranjith PB ACM YR 2017 K1 Autoregressive all-pole model parameters K1 Concrete K1 Self-Advising Support Vector Machine K1 Support Vector Machine K1 classification K1 parametric modeling K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Classification and regression trees SP 57 OP 61 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3163080.3163120 DO https://dl.acm.org/doi/10.1145/3163080.3163120 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
