APA (7th ed.) Citation

SHAO, S., WANG, T., SONG, C., SU, Y., WANG, Y., & YAO, C. (2021). FINE-GRAINED AND MULTI-SCALE MOTIF FEATURES FOR CROSS-SUBJECT MENTAL WORKLOAD ASSESSMENT USING BI-LSTM. Journal of mechanics in medicine and biology, 21(5), 2140020. https://doi.org/10.1142/S0219519421400200

Chicago Style (17th ed.) Citation

SHAO, SHILIANG, TING WANG, CHUNHE SONG, YUN SU, YONGLIANG WANG, and CHEN YAO. "FINE-GRAINED AND MULTI-SCALE MOTIF FEATURES FOR CROSS-SUBJECT MENTAL WORKLOAD ASSESSMENT USING BI-LSTM." Journal of Mechanics in Medicine and Biology 21, no. 5 (2021): 2140020. https://doi.org/10.1142/S0219519421400200.

MLA (9th ed.) Citation

SHAO, SHILIANG, et al. "FINE-GRAINED AND MULTI-SCALE MOTIF FEATURES FOR CROSS-SUBJECT MENTAL WORKLOAD ASSESSMENT USING BI-LSTM." Journal of Mechanics in Medicine and Biology, vol. 21, no. 5, 2021, p. 2140020, https://doi.org/10.1142/S0219519421400200.

Warning: These citations may not always be 100% accurate.