Cite
A Seq2Seq Model Improved by Transcendental Learning and Imaged Sequence Samples for Porosity Prediction.
MLA
Zhou, Lijian, et al. “A Seq2Seq Model Improved by Transcendental Learning and Imaged Sequence Samples for Porosity Prediction.” Mathematics (2227-7390), vol. 11, no. 1, Jan. 2023, p. 39. EBSCOhost, https://doi.org/10.3390/math11010039.
APA
Zhou, L., Wang, L., Zhao, Z., Liu, Y., & Liu, X. (2023). A Seq2Seq Model Improved by Transcendental Learning and Imaged Sequence Samples for Porosity Prediction. Mathematics (2227-7390), 11(1), 39. https://doi.org/10.3390/math11010039
Chicago
Zhou, Lijian, Lijun Wang, Zhiang Zhao, Yuwei Liu, and Xiwu Liu. 2023. “A Seq2Seq Model Improved by Transcendental Learning and Imaged Sequence Samples for Porosity Prediction.” Mathematics (2227-7390) 11 (1): 39. doi:10.3390/math11010039.