A Residual-Corrected Hybrid ARIMA–CNN–LSTM Framework for High-Accuracy Tobacco Sales Forecasting in Regulated Markets
Crossref DOI link: https://doi.org/10.1007/s44196-025-00930-4
Published Online: 2025-07-27
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Huang, Shiyu
Zhou, Lili
Text and Data Mining valid from 2025-07-27
Version of Record valid from 2025-07-27
Article History
Received: 7 April 2025
Revised: 30 June 2025
Accepted: 15 July 2025
First Online: 27 July 2025
Declarations
:
: The authors declare no competing interests.