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
A Novel Approach for Texture Defect Detection using Statist..:
, In:
Proceedings of the Companion Conference on Genetic and Evolutionary Computation
,
Sharma, Rahul S
;
Kuppili, Venkatanareshbabu
- p. 103-106 , 2023
Link:
https://dl.acm.org/doi/10.1145/3583133.3590599
RT T1
Proceedings of the Companion Conference on Genetic and Evolutionary Computation
: T1
A Novel Approach for Texture Defect Detection using Statistical Features and a Bio-Inspired Algorithm
UL https://suche.suub.uni-bremen.de/peid=acm-3590599&Exemplar=1&LAN=DE A1 Sharma, Rahul S A1 Kuppili, Venkatanareshbabu PB ACM YR 2023 K1 statistical features K1 bio-inspired algorithm K1 feature selection optimization K1 image classification K1 Information systems K1 Information systems applications K1 Data mining K1 Computing methodologies K1 Modeling and simulation K1 Simulation types and techniques K1 Artificial life K1 Machine learning K1 Machine learning algorithms K1 Feature selection SP 103 OP 106 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3583133.3590599 DO https://dl.acm.org/doi/10.1145/3583133.3590599 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)