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
Prediction of Cardiovascular Disease Through Cutting-Edge D..:
, In:
Advances in Intelligent Systems and Computing; International Conference on Innovative Computing and Communications
,
Ashraf, Mudasir
;
Ahmad, Syed Mudasir
;
Ganai, Nazir Ahmad
... - p. 239-255 , 2020
Link:
https://doi.org/10.1007/978-981-15-5113-0_18
RT T1 <cTitle>Advances in Intelligent Systems and Computing; International Conference on Innovative Computing and Communications</cTitle>: T1 <Title>Prediction of Cardiovascular Disease Through Cutting-Edge Deep Learning Technologies: An Empirical Study Based on TENSORFLOW, PYTORCH and KERAS</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-981-15-5113-0_18&Exemplar=1&LAN=DE A1 Ashraf, Mudasir A1 Ahmad, Syed Mudasir A1 Ganai, Nazir Ahmad A1 Shah, Riaz Ahmad A1 Zaman, Majid A1 Khan, Sameer Ahmad A1 Shah, Aftab Aalam PB Springer Singapore YR 2020 SP 239 OP 255 LK http://dx.doi.org/https://doi.org/10.1007/978-981-15-5113-0_18 DO https://doi.org/10.1007/978-981-15-5113-0_18 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
