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
DeepECO: Applying Deep Learning for Occupancy Detection fro..:
, In:
2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)
,
Pal, Neelanjana
;
Ghosh, Purboday
;
Karsai, Gabor
- p. 1938-1943 , 2019
Link:
https://doi.org/10.1109/ICMLA.2019.00311
RT T1
2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)
: T1
DeepECO: Applying Deep Learning for Occupancy Detection from Energy Consumption Data
UL https://suche.suub.uni-bremen.de/peid=ieee-8999303&Exemplar=1&LAN=DE A1 Pal, Neelanjana A1 Ghosh, Purboday A1 Karsai, Gabor YR 2019 K1 Feature extraction K1 Principal component analysis K1 Training K1 Home appliances K1 Neural networks K1 Smart meters K1 Machine learning K1 Deep-Learning K1 PCA K1 SHAP K1 Classification-Accuracy K1 Mathew's-Correlation-Coefficient K1 F2-score K1 occupancy SP 1938 OP 1943 LK http://dx.doi.org/https://doi.org/10.1109/ICMLA.2019.00311 DO https://doi.org/10.1109/ICMLA.2019.00311 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)