APA (7th ed.) Citation

Zhao, R., Miao, F., & Liu, Y. (2026). RadarSSM: A Lightweight Spatiotemporal State Space Network for Efficient Radar-Based Human Activity Recognition. Sensors (14248220), 26(7), 2259. https://doi.org/10.3390/s26072259

Chicago Style (17th ed.) Citation

Zhao, Rubin, Fucheng Miao, and Yuanjian Liu. "RadarSSM: A Lightweight Spatiotemporal State Space Network for Efficient Radar-Based Human Activity Recognition." Sensors (14248220) 26, no. 7 (2026): 2259. https://doi.org/10.3390/s26072259.

MLA (9th ed.) Citation

Zhao, Rubin, et al. "RadarSSM: A Lightweight Spatiotemporal State Space Network for Efficient Radar-Based Human Activity Recognition." Sensors (14248220), vol. 26, no. 7, 2026, p. 2259, https://doi.org/10.3390/s26072259.