[1]
Wu, S. et al. 2024. Research on Product Demand Forecasting Based on Random Forest and ARIMA Time Series: Precision Forecasting Method for Data-Scarce Environments. Transactions on Computer Science and Intelligent Systems Research. 5, (Aug. 2024), 1327–1335. DOI:https://doi.org/10.62051/g9r9ca46.