APA (7th ed.) Citation

R, Z., F, M., & Y, L. (2026). RadarSSM: A Lightweight Spatiotemporal State Space Network for Efficient Radar-Based Human Activity Recognition. Sensors (Basel, Switzerland), 26(7), . https://doi.org/10.3390/s26072259

Chicago Style (17th ed.) Citation

R, Zhao, Miao F, and Liu Y. "RadarSSM: A Lightweight Spatiotemporal State Space Network for Efficient Radar-Based Human Activity Recognition." Sensors (Basel, Switzerland) 26, no. 7 (2026). https://doi.org/10.3390/s26072259.

MLA (9th ed.) Citation

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