Article Versions Notes

Petroșanu D-M, Pîrjan A, Căruţaşu G, Tăbușcă A, Zirra D-L, Perju-Mitran A. E-Commerce Sales Revenues Forecasting by Means of Dynamically Designing, Developing and Validating a Directed Acyclic Graph (DAG) Network for Deep Learning. Electronics. 2022; 11(18):2940. https://doi.org/10.3390/electronics11182940

Petroșanu, Dana-Mihaela, Alexandru Pîrjan, George Căruţaşu, Alexandru Tăbușcă, Daniela-Lenuța Zirra, and Alexandra Perju-Mitran. 2022. "E-Commerce Sales Revenues Forecasting by Means of Dynamically Designing, Developing and Validating a Directed Acyclic Graph (DAG) Network for Deep Learning" Electronics 11, no. 18: 2940. https://doi.org/10.3390/electronics11182940

Petroșanu, D.-M., Pîrjan, A., Căruţaşu, G., Tăbușcă, A., Zirra, D.-L., & Perju-Mitran, A. (2022). E-Commerce Sales Revenues Forecasting by Means of Dynamically Designing, Developing and Validating a Directed Acyclic Graph (DAG) Network for Deep Learning. Electronics, 11(18), 2940. https://doi.org/10.3390/electronics11182940