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
Automatic ceramic identification using machine learning. Lu..:
Santos, Joel
;
Nunes, Diogo A.P.
;
Padnevych, Ruslan
...
STAR: Science & Technology of Archaeological Research. 10 (2024) 1 - p. , 2024
Link:
https://doi.org/10.1080/20548923.2024.2343214
RT Journal T1
Automatic ceramic identification using machine learning. Lusitanian amphorae and Faience. Two Portuguese case studies
UL https://suche.suub.uni-bremen.de/peid=cr-10.1080_20548923.2024.2343214&Exemplar=1&LAN=DE A1 Santos, Joel A1 Nunes, Diogo A.P. A1 Padnevych, Ruslan A1 Quaresma, José Carlos A1 Lopes, Martim A1 Gil, Joana A1 Bernardes, João Pedro A1 Casimiro, Tania Manuel PB Informa UK Limited YR 2024 SN 2054-8923 JF STAR: Science & Technology of Archaeological Research VO 10 IS 1 LK http://dx.doi.org/https://doi.org/10.1080/20548923.2024.2343214 DO https://doi.org/10.1080/20548923.2024.2343214 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)