QLGWYB: design of an efficient model for analyzing crowd behavior through Quad LSTM and Quad GRU fusion enhanced by Q-learning and YOLO
Crossref DOI link: https://doi.org/10.1007/s42044-025-00272-6
Published Online: 2025-05-08
Published Print: 2025-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Heda, Lokesh
Sahare, Parul
Text and Data Mining valid from 2025-05-08
Version of Record valid from 2025-05-08
Article History
Received: 10 February 2025
Accepted: 20 April 2025
First Online: 8 May 2025
Declarations
:
: The authors declare no competing interests.
: Ethical approval was not required for this computational study.