Variable intensity-on-off keying modulation and its application to wearable visual-MIMO. - Ki-Doo Kim; Jin-San Kim; Tae-Ho Kwon (APCC, 2016)

Synchronization method for color-independent visual-MIMO communication. - Tae-Ho Kwon; Jai-Eun Kim; Ki-Doo Kim (ICCE, 2017)

Implementation of color-space-based wearable visual-MIMO system. - Tae-Ho Kwon; Jai-Eun Kim; Jung-Hun Oh; Ki-Doo Kim (ICUFN, 2017)

LED Color Detection of Visual-MIMO System Using Boosting Neural Network Algorithm. - Partha Pratim Banik; Rappy Saha; Tae-Ho Kwon; Ki-Doo Kim (ICUFN, 2018)

Time-Sharing-Based Synchronization and Performance Evaluation of Color-Independent Visual-MIMO Communication. - Tae-Ho Kwon; Jai-Eun Kim; Ki-Doo Kim (Sensors, 2018)

Fusing Reflectance based LDR Images to Generate HDR Image. - Partha Pratim Banik; Rappy Saha; Tae-Ho Kwon; Ki-Doo Kim (APCC, 2019)

Channel Environment Adaptive Symbol Decision Method for Visual-MIMO Synchronization System. - Tae-Ho Kwon; Ki-Doo Kim (ICEIC, 2019)

Comparison of Different Wavelengths for Estimating SpO2 Using Beer-Lambert Law and Photon Diffusion in PPG. - Shifat Hossain; Tae-Ho Kwon; Ki-Doo Kim (ICTC, 2019)

Topographic Analysis of High Volume Impacts of Music on Brain Lobe using EEG. - Chowdhury Azimul Haque; Tae-Ho Kwon; Ki-Doo Kim (ICTC, 2020)

Comparison of Different Methods to Estimate Blood Oxygen Saturation using PPG. - Chowdhury Azimul Haque; Shifat Hossain; Tae-Ho Kwon; Ki-Doo Kim (ICTC, 2021)

Towards non-invasive blood glucose measurement using machine learning: An all-purpose PPG system design. - Shantanu Sen Gupta; Tae-Ho Kwon; Shifat Hossain; Ki-Doo Kim (Biomed. Signal Process. Control., 2021)

Noninvasive In Vivo Estimation of Blood-Glucose Concentration by Monte Carlo Simulation. - Chowdhury Azimul Haque; Shifat Hossain; Tae-Ho Kwon; Ki-Doo Kim (Sensors, 2021)

Cuffless Blood Pressure Estimation Based on Monte Carlo Simulation Using Photoplethysmography Signals. - Chowdhury Azimul Haque; Tae-Ho Kwon; Ki-Doo Kim (Sensors, 2022)

Optical Measurement of Molar Absorption Coefficient of HbA1c: Comparison of Theoretical and Experimental Results. - Shifat Hossain; Shama Satter; Tae-Ho Kwon; Ki-Doo Kim (Sensors, 2022)

Deep-Learning-Based Adaptive Symbol Decision for Visual MIMO System with Variable Channel Modeling. - Jai-Eun Kim; Tae-Ho Kwon; Ki-Doo Kim (Sensors, 2022)

Machine-Learning-Based Noninvasive In Vivo Estimation of HbA1c Using Photoplethysmography Signals. - Tae-Ho Kwon; Ki-Doo Kim (Sensors, 2022)

XGBoost Calibration Considering Feature Importance for Noninvasive HbA1c Estimation Using PPG Signals. - Mrinmoy Sarker Turja; Tae-Ho Kwon; Hyoungkeun Kim; Ki-Doo Kim (ICAIIC, 2023)

A Comparative Analysis of Various Machine Learning Algorithms to Improve the Accuracy of HbA1c Estimation Using Wrist PPG Data. - Shama Satter; Tae-Ho Kwon; Ki-Doo Kim (Sensors, 2023)

Non-Invasive Blood Glucose Estimation Based on Machine Learning Algorithms Using PPG Signals. - Shama Satter; Tae-Ho Kwon; Ki-Doo Kim (ICAIIC, 2024)

Noninvasive In-vivo Estimation of Glycated Hemoglobin Using Digital Volume Pulse Signal Based on Modified Beer-Lambert Law. - Mrinmoy Sarker Turja; Tae-Ho Kwon; Hyoungkeun Kim; Ki-Doo Kim (ICCE, 2024)