Khlie, K., Benmamoun, Z., Fethallah, W., & Jebbor, I. (2024). Leveraging variational autoencoders and recurrent neural networks for demand forecasting in supply chain management: A case study. Journal of Infrastructure, Policy and Development, 8(8), 6639. https://doi.org/10.24294/jipd.v8i8.6639
Chicago Style (17th ed.) CitationKhlie, Khaoula, Zoubida Benmamoun, Widad Fethallah, and Ikhlef Jebbor. "Leveraging Variational Autoencoders and Recurrent Neural Networks for Demand Forecasting in Supply Chain Management: A Case Study." Journal of Infrastructure, Policy and Development 8, no. 8 (2024): 6639. https://doi.org/10.24294/jipd.v8i8.6639.
MLA (9th ed.) CitationKhlie, Khaoula, et al. "Leveraging Variational Autoencoders and Recurrent Neural Networks for Demand Forecasting in Supply Chain Management: A Case Study." Journal of Infrastructure, Policy and Development, vol. 8, no. 8, 2024, p. 6639, https://doi.org/10.24294/jipd.v8i8.6639.