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eNauka >  Results >  The eXtreme Gradient Boosting Method Optimized by Hybridized Sine Cosine Metaheuristics for Ship Vessel Classification
Title: The eXtreme Gradient Boosting Method Optimized by Hybridized Sine Cosine Metaheuristics for Ship Vessel Classification
Authors: M. Bukumira; M. Zivkovic  ; M. Antonijevic  ; L. Jovanovic ; N. Bacanin  ; T. Zivkovic
Issue Date: 2024
Publication: LNNS Lecture Notes in Networks and Systems: ADCIS 2023: Advances in Data-Driven Computing and Intelligent Systems, volume 891
Publisher: Springer, Singapore
Type: Book parts
ISBN: 978-981-99-9524-0 Search Idenfier
Collation: str. 255-270
DOI: 10.1007/978-981-99-9524-0_20
Scopus-ID: 2-s2.0-85187687893
URI: https://enauka.gov.rs/handle/123456789/897639
http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/9790
URL: https://link.springer.com/chapter/10.1007/978-981-99-9524-0_20
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