Cita APA (7a ed.)

Lee, Y., Peitzsch, A., Kong, Y., Zizza, J., Kang, D., Baghestani, F., & Chon, K. H. (2026). Memory-Efficient EDA Denoising via Knowledge Distillation for Wearable IoT Under Severe Motion Artifacts and Underwater Conditions.

Cita Chicago Style (17a ed.)

Lee, Yongbin, Andrew Peitzsch, Youngsun Kong, Jarod Zizza, Dong-hee Kang, Farnoush Baghestani, y Ki H. Chon. Memory-Efficient EDA Denoising via Knowledge Distillation for Wearable IoT Under Severe Motion Artifacts and Underwater Conditions. 2026.

Cita MLA (9a ed.)

Lee, Yongbin, et al. Memory-Efficient EDA Denoising via Knowledge Distillation for Wearable IoT Under Severe Motion Artifacts and Underwater Conditions. 2026.