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
Estimation of rooftop solar energy generation using Satelli..:
, In:
2019 IEEE 9th International Conference on Advanced Computing (IACC)
,
Sampath, Adithya
;
Bijapur, Pranav
;
Karanam, Akshath
.. - p. 38-44 , 2019
Link:
https://doi.org/10.1109/IACC48062.2019.8971578
RT T1
2019 IEEE 9th International Conference on Advanced Computing (IACC)
: T1
Estimation of rooftop solar energy generation using Satellite Image Segmentation
UL https://suche.suub.uni-bremen.de/peid=ieee-8971578&Exemplar=1&LAN=DE A1 Sampath, Adithya A1 Bijapur, Pranav A1 Karanam, Akshath A1 Umadevi, V A1 Parathodiyil, Meena YR 2019 SN 2473-3571 K1 solar energy potential K1 satellite imagery K1 deep learning approach K1 image segmentation SP 38 OP 44 LK http://dx.doi.org/https://doi.org/10.1109/IACC48062.2019.8971578 DO https://doi.org/10.1109/IACC48062.2019.8971578 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)