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 Comparatively Study of Machine Learning Approaches to Pre..:
, In:
2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT)
,
Kumar, Kamal
;
Verma, Prem Kumari
;
Singh, Nagendra Pratap
- p. 58-61 , 2021
Link:
https://doi.org/10.1109/ICACFCT53978.2021.9837346
RT T1
2021 First International Conference on Advances in Computing and Future Communication Technologies (ICACFCT)
: T1
A Comparatively Study of Machine Learning Approaches to Predict Service of Disease Haemophilia A
UL https://suche.suub.uni-bremen.de/peid=ieee-9837346&Exemplar=1&LAN=DE A1 Kumar, Kamal A1 Verma, Prem Kumari A1 Singh, Nagendra Pratap YR 2021 K1 Training K1 Proteins K1 Data visualization K1 Machine learning K1 Genetics K1 Communications technology K1 Time complexity SP 58 OP 61 LK http://dx.doi.org/https://doi.org/10.1109/ICACFCT53978.2021.9837346 DO https://doi.org/10.1109/ICACFCT53978.2021.9837346 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)