Results

eNauka >  Results >  XGBoost Design by Multi-verse Optimiser: An Application for Network Intrusion Detection
Title: XGBoost Design by Multi-verse Optimiser: An Application for Network Intrusion Detection
Authors: M. Tair  ; N. Bacanin  ; M. Zivkovic  ; K. Venkatachalam; I. Strumberger 
Issue Date: 2022
Publication: LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICMCSI 2022: Mobile Computing and Sustainable Informatics, volume 126
Publisher: Springer, Singapore
Type: Book parts
Collation: str. 1-16
DOI: 10.1007/978-981-19-2069-1_1
Scopus-ID: 2-s2.0-85134593662
URI: http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/9084
https://enauka.gov.rs/handle/123456789/715176
URL: https://link.springer.com/chapter/10.1007/978-981-19-2069-1_1
M-category: 
Mp. category will be shown later

8
SCOPUSTM
Altmetric
Dimensions
Unpaywall

Google ScholarTM

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.