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
Adaptive Learning for Soil Classification in Laser-Induced ..:
Huang, Yingchao
;
Mohajan, Shubho
;
Beier, Nicholas F.
...
IEEE Transactions on Artificial Intelligence. 5 (2024) 7 - p. 3714-3727 , 2024
Link:
https://doi.org/10.1109/tai.2024.3375260
RT Journal T1
Adaptive Learning for Soil Classification in Laser-Induced Breakdown Spectroscopy Streaming
UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tai.2024.3375260&Exemplar=1&LAN=DE A1 Huang, Yingchao A1 Mohajan, Shubho A1 Beier, Nicholas F. A1 Wan, Ying A1 Lamothe, Sadee A1 Bais, Abdul A1 Dyck, Miles A1 Hegmann, Frank A1 Hussein, Amina E. PB Institute of Electrical and Electronics Engineers (IEEE) YR 2024 SN 2691-4581 JF IEEE Transactions on Artificial Intelligence VO 5 IS 7 SP 3714 OP 3727 LK http://dx.doi.org/https://doi.org/10.1109/tai.2024.3375260 DO https://doi.org/10.1109/tai.2024.3375260 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)