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
Investigating the Effectiveness of Novel Support Vector Neu..:
Umar Islam
;
Hathal Salamah Alwageed
;
Malik Muhammad Umer Farooq
...
https://www.mdpi.com/1424-8220/23/12/5626. , 2023
Link:
https://doi.org/10.3390/s23125626
RT Journal T1
Investigating the Effectiveness of Novel Support Vector Neural Network for Anomaly Detection in Digital Forensics Data
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:8b61e31ef943417fbc8761ea7eb99f8a&Exemplar=1&LAN=DE A1 Umar Islam A1 Hathal Salamah Alwageed A1 Malik Muhammad Umer Farooq A1 Inayat Khan A1 Fuad A. Awwad A1 Ijaz Ali A1 Mohamed R. Abonazel PB MDPI AG YR 2023 K1 anomaly K1 forensics K1 cybersecurity K1 machine learning K1 SVM K1 NN K1 Chemical technology K1 TP1-1185 JF https://www.mdpi.com/1424-8220/23/12/5626 LK http://dx.doi.org/https://doi.org/10.3390/s23125626 DO https://doi.org/10.3390/s23125626 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)