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eNauka >  Results >  Optimizing Gated Recurrent Units with a Hybrid Crayfish Algorithm for Enhanced Unemployment Rate Prediction, Chapter in LNNS Lecture Notes in Networks and Systems: CVR 2025: Computer Vision and Robotics, Springer, volume 1643
Title: Optimizing Gated Recurrent Units with a Hybrid Crayfish Algorithm for Enhanced Unemployment Rate Prediction, Chapter in LNNS Lecture Notes in Networks and Systems: CVR 2025: Computer Vision and Robotics, Springer, volume 1643
Authors: L. Babic; S. Ivanovic; A. Petrovic  ; L. Jovanovic ; M. Zivkovic  ; A. Zivaljevic; M. Antonijevic  ; N. Bacanin  
Issue Date: 2026
Publication: LNNS Lecture Notes in Networks and Systems: CVR 2025: Proceedings of International Conference on Computer Vision and Robotics, volume 1643
ISSN: 2367-3370 Search Idenfier
Publisher: Springer, Cham
Type: Book parts
Collation: str. 128-139
DOI: 10.1007/978-3-032-06250-5_11
Scopus-ID: 2-s2.0-105031624191
URI: http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/11799
https://link.springer.com/chapter/10.1007/978-3-032-06250-5_11
https://enauka.gov.rs/handle/123456789/1023202
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