Results

eNauka >  Results >  Optimizing Machine Learning for Breast Cancer Detection by Hybrid Metaheuristic Approach
Title: Optimizing Machine Learning for Breast Cancer Detection by Hybrid Metaheuristic Approach
Authors: T. Bezdan  ; I. Strumberger  ; M. Tuba  
Issue Date: 2024
Publication: 2024 IEEE 12th International Symposium on Digital Forensics and Security (ISDFS), San Antonio, TX, USA
Type: Conference Paper
Collation: str. 1-6
DOI: 10.1109/ISDFS60797.2024.10527334
Scopus-ID: 2-s2.0-85194040091
URI: http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/9907
https://ieeexplore.ieee.org/abstract/document/10527334
http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/9865
https://ieeexplore.ieee.org/document/10527334
https://enauka.gov.rs/handle/123456789/920306
M-category: 
Mp. category will be shown later

Altmetric
Dimensions

Find the DOI

Unpaywall

Google ScholarTM

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