Results

eNauka >  Results >  Cyberbullying Sexism Harassment Identification by Metaheurustics-Tuned eXtreme Gradient Boosting
Title: Cyberbullying Sexism Harassment Identification by Metaheurustics-Tuned eXtreme Gradient Boosting
Authors: M. Dobrojevic  ; L. Jovanovic ; L. Babic  ; M. Miroslav  ; T. Zivkovic  ; M. Zivkovic  ; S. Muthusamy; M. Antonijevic  ; N. Bacanin  
Issue Date: 2024
Publication: CMC-Computers, Materials & Continua
ISSN: 1546-2226 Computers Materials and Continua / CMC Search Idenfier
Type: Article
Collation: vol. 0 br. 0 str. 1-10
DOI: 10.32604/cmc.2024.054459
WoS-ID: 001342275600025
Scopus-ID: 2-s2.0-85203859892
VBS COBISS: 154252041
URI: https://enauka.gov.rs/handle/123456789/932130
https://plus.cobiss.net/cobiss/sr/sr/bib/154252041#izum.si
http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/10154
URL: https://www.techscience.com/cmc/v80n3/57893/html
Project: Science Fund of the Republic of Serbia [7373]
Characterizing Crises-Caused Air Pollution Alternations Using an Artificial Intelligence-Based Framework-cr AIRsis [7502]
Intelligent Multi-Agent Control and Optimization applied to Green Buildings and Environmental Monitoring Drone Swarms-ECO Swarm
M-category: 
21M21

52
SCOPUSTM
28
WEB OF SCIENCETM
Altmetric
Dimensions
Unpaywall

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