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

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Naziv:	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
Autori:	L. Babic; S. Ivanovic; A. Petrovic ; L. Jovanovic ; M. Zivkovic ; A. Zivaljevic; M. Antonijevic ; N. Bacanin
Godina:	2026
Publikacija:	LNNS Lecture Notes in Networks and Systems: CVR 2025: Proceedings of International Conference on Computer Vision and Robotics, volume 1643
ISSN:	2367-3370 Pretraži identifikator
Izdavač:	Springer, Cham
Tip rezultata:	Poglavlje u monografiji
Kolacija:	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
M-kategorija:	Mp kategorija će biti prikazana naknadno.

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