Ha, S.; Lee, T.; Seo, H.; Yoon, S.; Lee, H.
A Selective RAG-Enhanced Hybrid ML-LLM Framework for Efficient and Explainable Fatigue Prediction Using Wearable Sensor Data. Bioengineering 2026, 13, 58.
https://doi.org/10.3390/bioengineering13010058
AMA Style
Ha S, Lee T, Seo H, Yoon S, Lee H.
A Selective RAG-Enhanced Hybrid ML-LLM Framework for Efficient and Explainable Fatigue Prediction Using Wearable Sensor Data. Bioengineering. 2026; 13(1):58.
https://doi.org/10.3390/bioengineering13010058
Chicago/Turabian Style
Ha, Soonho, Taeyoung Lee, Hyungjun Seo, Sujung Yoon, and Hwamin Lee.
2026. "A Selective RAG-Enhanced Hybrid ML-LLM Framework for Efficient and Explainable Fatigue Prediction Using Wearable Sensor Data" Bioengineering 13, no. 1: 58.
https://doi.org/10.3390/bioengineering13010058
APA Style
Ha, S., Lee, T., Seo, H., Yoon, S., & Lee, H.
(2026). A Selective RAG-Enhanced Hybrid ML-LLM Framework for Efficient and Explainable Fatigue Prediction Using Wearable Sensor Data. Bioengineering, 13(1), 58.
https://doi.org/10.3390/bioengineering13010058