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
MNIST-Fraction: Enhancing Math Education with AI-Driven Fra..:
, In:
Proceedings of the 2024 ACM Southeast Regional Conference
,
Ahadian, Pegah
;
Feng, Yunhe
;
Kosko, Karl
.. - p. 284-290 , 2024
Link:
https://dl.acm.org/doi/10.1145/3603287.3651221
RT T1
Proceedings of the 2024 ACM Southeast Regional Conference
: T1
MNIST-Fraction: Enhancing Math Education with AI-Driven Fraction Detection and Analysis
UL https://suche.suub.uni-bremen.de/peid=acm-3651221&Exemplar=1&LAN=DE A1 Ahadian, Pegah A1 Feng, Yunhe A1 Kosko, Karl A1 Ferdig, Richard A1 Guan, Qiang PB ACM YR 2024 K1 education K1 math dataset K1 mathematics K1 object detection K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision problems K1 Object detection K1 Social and professional topics K1 Professional topics K1 Computing education K1 Student assessment SP 284 OP 290 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3603287.3651221 DO https://dl.acm.org/doi/10.1145/3603287.3651221 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)