Optimizing ML models for cybercrime detection: balancing performance, energy consumption, and carbon footprint through multi-objective optimization
Crossref DOI link: https://doi.org/10.1007/s44163-025-00262-4
Published Online: 2025-04-23
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Rawat, Romil
Text and Data Mining valid from 2025-04-23
Version of Record valid from 2025-04-23
Article History
Received: 29 November 2024
Accepted: 8 April 2025
First Online: 23 April 2025
Declarations
:
: None.
: The authors declare no competing interests.