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
Feature Extraction for Machine Learning-Based Alignment of ..:
, In:
2024 15th Global Symposium on Millimeter-Waves & Terahertz (GSMM)
,
Baijukya, Edrick
;
Choi, EunMi
- p. 258-260 , 2024
Link:
https://doi.org/10.1109/GSMM61775.2024.10552944
RT T1 <cTitle>2024 15th Global Symposium on Millimeter-Waves & Terahertz (GSMM)</cTitle>: T1 <Title>Feature Extraction for Machine Learning-Based Alignment of W-band Higher-Order Mode Generator</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10552944&Exemplar=1&LAN=DE A1 Baijukya, Edrick A1 Choi, EunMi YR 2024 SN 2694-2968 K1 Accuracy K1 Training data K1 Artificial neural networks K1 Machine learning K1 Predictive models K1 Feature extraction K1 Generators K1 Coaxial cavity K1 mode generator K1 mis-alignment K1 feature extraction K1 machine learning (ML) K1 Deep Neural Networks (DNN) SP 258 OP 260 LK http://dx.doi.org/https://doi.org/10.1109/GSMM61775.2024.10552944 DO https://doi.org/10.1109/GSMM61775.2024.10552944 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
