Accesso libero

Exploration of cross-border e-commerce and its logistics supply chain innovation and development path for agricultural exports based on deep learning

  
29 dic 2023
INFORMAZIONI SU QUESTO ARTICOLO

Cita
Scarica la copertina

Ding, H. C., Wang, G., Zhong, Z., Xu, Q., & Li, M. (2020). Regression analysis on correlation of china’s export via cross-border e-commerce. International Journal of Electrical Engineering Education, 002072092092366. Search in Google Scholar

Mu, W. (2019). A big data-based prediction model for purchase decisions of consumers on cross-border e-commerce platforms. Journal Europeen des Systemes Automatises(4), 52. Search in Google Scholar

Deng, Z., Yan, M., & Xiao, X. (2021). An early risk warning of cross-border e-commerce using bp neural network. Mobile Information Systems. Search in Google Scholar

Zhu, Q., & Li, Y. (2018). Agricultural research recommendation algorithm based on consumer preference model of e-commerce. Future Generation Computer Systems, 88(NOV.), 151-155. Search in Google Scholar

Hsu, J. Y., Tseng, W. K., Hsieh, J. Y., Chang, C. J., & Chen, H. (2020). The recommending agricultural product sales promotion mode in e-commerce using deep reinforcement learning with contextual multiarmed bandit algorithms. Mathematical Problems in Engineering, 2020(4), 1-10. Search in Google Scholar

Li, L., & Miao, Y. (2017). Innovation of e-commerce fresh agricultural products marketing based on big internet data platform. Revista de la Facultad de Ingenieria, 32(1), 475-486. Search in Google Scholar

Song, B., Yan, W., & Zhang, T. (2019). Cross-border e-commerce commodity risk assessment using text mining and fuzzy rule-based reasoning. Advanced Engineering Informatics, 40(APR.), 69-80. Search in Google Scholar

Liu, M. (2022). Analysis of cross-border e-commerce commodities in internet of things based on semantic traceability algorithm. Mathematical Problems in Engineering, 2022. Search in Google Scholar

Gao, W. (2021). Intelligent prediction algorithm of cross-border e-commerce logistics cost based on cloud computing. Scientific programming(Pt.10), 2021. Search in Google Scholar

Xiang, D., & Zhang, Z. (2020). Cross-border e-commerce personalized recommendation based on fuzzy association specifications combined with complex preference model. Mathematical Problems in Engineering, 2020(4), 1-9. Search in Google Scholar

Wang, C. M. (2021). Analyzing the effects of cross-border e-commerce industry transfer using big data. Mobile Information Systems. Search in Google Scholar

Liu, Z., & Li, Z. (2020). A blockchain-based framework of cross-border e-commerce supply chain. International journal of information management(Jun.), 52. Search in Google Scholar

Nie, X. (2022). Cross-border e-commerce logistics transportation alternative selection: a multiattribute decision-making approach. Mathematical Problems in Engineering, 2022. Search in Google Scholar

Ren, J., Li, H., Zhang, M., & Wu, C. (2021). Massive-scale graph mining for e-commerce cold chain analysis and optimization. Future Generation Computer Systems, 125, 526-531. Search in Google Scholar

Yan, W., Zhou, H., & Li, H. (2021). Decision and coordination of cross-border e-commerce supply chain: based on four modes of cooperation. Scientific Programming. Search in Google Scholar

Wan, Y., Chen, Y., Yan, C., & Zhang, B. (2021). Similarity-based sales forecasting using improved convlstm and prophet. Intelligent Data Analysis, 25(2), 383-396. Search in Google Scholar

Zhang, Y., Kong, W., Dong, Z. Y., Jia, Y., Hill, D. J., & Xu, Y. (2019). Short-term residential load forecasting based on lstm recurrent neural network. IEEE Transactions on Smart Grid. Search in Google Scholar

Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro