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 Parkinson's Disease using Machine Learning:
, In:
2023 Second International Conference on Electronics and Renewable Systems (ICEARS)
,
Alapati, Naresh
;
Anusha, N.
;
Joharika, P
.. - p. 1357-1361 , 2023
Link:
https://doi.org/10.1109/ICEARS56392.2023.10085443
RT T1
2023 Second International Conference on Electronics and Renewable Systems (ICEARS)
: T1
Prediction of Parkinson's Disease using Machine Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-10085443&Exemplar=1&LAN=DE A1 Alapati, Naresh A1 Anusha, N. A1 Joharika, P A1 Jerusha, N. Jenny A1 Tanuja, P YR 2023 K1 Radio frequency K1 Training K1 Support vector machines K1 Renewable energy sources K1 Machine learning algorithms K1 Parkinson's disease K1 Predictive models K1 Improved Accuracy K1 Random Forest Algorithm Parkinson's Disease Prediction SP 1357 OP 1361 LK http://dx.doi.org/https://doi.org/10.1109/ICEARS56392.2023.10085443 DO https://doi.org/10.1109/ICEARS56392.2023.10085443 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)