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 Lightweight Deep Learning Approach to Mosquito Classifica..:
, In:
Proceedings of the Conference on Information Technology for Social Good
,
Yin, Myat Su
;
Haddawy, Peter
;
Nirandmongkol, Borvorntat
... - p. 37-42 , 2021
Link:
https://dl.acm.org/doi/10.1145/3462203.3475908
RT T1 <cTitle>Proceedings of the Conference on Information Technology for Social Good</cTitle>: T1 <Title>A Lightweight Deep Learning Approach to Mosquito Classification from Wingbeat Sounds</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3475908&Exemplar=1&LAN=DE A1 Yin, Myat Su A1 Haddawy, Peter A1 Nirandmongkol, Borvorntat A1 Kongthaworn, Tup A1 Chaisumritchoke, Chanaporn A1 Supratak, Akara A1 Sa-ngamuang, Chaitawat A1 Sriwichai, Patchara PB ACM YR 2021 K1 IoT K1 classification K1 deep learning K1 machine learning K1 model size K1 model tuning K1 mosquito vectors K1 signal analysis K1 Computing methodologies K1 Artificial intelligence K1 Applied computing K1 Life and medical sciences K1 Health informatics K1 Machine learning K1 Machine learning algorithms K1 Spectral methods SP 37 OP 42 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3462203.3475908 DO https://dl.acm.org/doi/10.1145/3462203.3475908 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
