APA (7th ed.) Citation

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.

Chicago Style (17th ed.) Citation

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

MLA (9th ed.) Citation

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

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