Graph Spatio-Temporal networks for manufacturing sales forecast and prevention policies in pandemic era

Author:

Lee Chia-YenORCID,Yang Shu-Huei

Funder

Ministry of Science and Technology, Taiwan

Taiwan Ministry of Science and Technology

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference34 articles.

1. A systematic review on data scarcity problem in deep learning: Solution and aapplications;Bansal;ACM Computing Surveys,2022

2. Influence of COVID-19 on manufacturing industry and corresponding countermeasures from supply chain perspective;Cai;Journal of Shanghai Jiaotong University (Science),2020

3. Unsupervised time series outlier detection with diversity-driven convolutional ensembles;Campos;Proceedings of the VLDB Endowment,2021

4. Chung, J., Gulcehre, C., Cho, K., & Bengio, Y. (2014). Empirical evaluation of gated recurrent neural networks on sequence modeling. NIPS 2014 Deep Learning and Representation Learning Workshop.

5. Cirstea, R.-G., Kieu, T., Guo, C., Yang, B., & Pan, S. J. (2021). EnhanceNet: Plugin neural networks for enhancing correlated time series forecasting. 2021 IEEE 37th International Conference on Data Engineering (ICDE).

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