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
Nearshore Wave Prediction for renewable energy: Initial Res..:
, In:
2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2)
,
Smyth, Shane
;
O'Sullivan, Conor
;
Pakrashi, Arjun
. - p. 1930-1935 , 2023
Link:
https://doi.org/10.1109/EI259745.2023.10513266
RT T1
2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2)
: T1
Nearshore Wave Prediction for renewable energy: Initial Results with Remote Sensing and Buoy Data
UL https://suche.suub.uni-bremen.de/peid=ieee-10513266&Exemplar=1&LAN=DE A1 Smyth, Shane A1 O'Sullivan, Conor A1 Pakrashi, Arjun A1 Dev, Soumyabrata YR 2023 K1 Renewable energy sources K1 Visualization K1 Linear regression K1 Sea measurements K1 System integration K1 Sensors K1 Convolutional neural networks K1 Nearshore K1 Wave prediction K1 Sentinel-1 SAR K1 Sentinel-2 NDWI K1 Renewable Energy K1 Sustainability K1 Remote Sensing K1 Regression Convolutional Neural Networks K1 Buoy Data K1 Linear Regression K1 Non-linear Problem SP 1930 OP 1935 LK http://dx.doi.org/https://doi.org/10.1109/EI259745.2023.10513266 DO https://doi.org/10.1109/EI259745.2023.10513266 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)