Uncertainty-aware Deep Learning Forecast using Dropout-based Ensemble Method. - HyunYong Lee; Nac-Woo Kim; Jun-Gi Lee; Byung-Tak Lee (ICTC, 2019)

Acoustic Feature based Abnormal Diagnosis Techniques with Capsule Networks. - Nac-Woo Kim; HyunYong Lee; Sangjun Park; Jun-Gi Lee; Byung-Tak Lee (ICTC, 2020)

Kalman Filter-based Adaptive Forecasting of PV Power Output. - HyunYong Lee; Nac-Woo Kim; Jun-Gi Lee; Byung-Tak Lee (ICTC, 2020)

A Study on Distance Measure for Effective Anomaly Detection using AutoEncoder. - HyunYong Lee; Nac-Woo Kim; Jun-Gi Lee; Byung-Tak Lee (ICTC, 2020)

Machine Learning-based Analysis of correlation between Energy Consumption data of the Company and its Sales. - Jun-Gi Lee; Nac-Woo Kim; HyunYong Lee; Sangjun Park; Byung-Tak Lee (ICTC, 2020)

Transformer based prediction method for solar power generation data. - Nac-Woo Kim; HyunYong Lee; Jun-Gi Lee; Byung-Tak Lee (ICTC, 2021)

Sound-based anomaly detection using a locally constrained capsule network. - Nac-Woo Kim; HyunYong Lee; Jun-Gi Lee; Byung-Tak Lee (ICTC, 2021)

An Approach for Utilizing Correlation among Sensors for Unsupervised Anomaly Detection of Wind Turbine System. - HyunYong Lee; Nac-Woo Kim; Jun-Gi Lee; Byung-Tak Lee (ICTC, 2021)

Performance-related Internal Clustering Validation Index for Clustering-based Anomaly Detection. - HyunYong Lee; Nac-Woo Kim; Jun-Gi Lee; Byung-Tak Lee (ICTC, 2021)

Error Distribution-based Anomaly Score for Forecasting-based Anomaly Detection of PV Systems. - HyunYong Lee; Nac-Woo Kim; Jun-Gi Lee; Byung-Tak Lee (ICTC, 2021)

A Study on Online ARIMA Algorithms applying various gradient descent optimization algorithms for Time Series Prediction. - Jun-Gi Lee; HyunYong Lee; Nac-Woo Kim; Byung-Tak Lee (ICTC, 2021)

Patch-Level Operation With Adaptive Patch Control for Improving Anomaly Localization. - Hyunyong Lee; Nac-Woo Kim; Jun-Gi Lee; Byung-Tak Lee (IEEE Access, 2021)

Towards Uncertainty-aware Remaining Useful Life Prediction via Domain Adaptation. - Hyunyong Lee; Nac-Woo Kim; Jun-Gi Lee; Byung-Tak Lee (ICTC, 2022)

An Empirical Study of Remaining Useful Life Prediction using Deep Learning Models. - Hyunyong Lee; Nac-Woo Kim; Jun-Gi Lee; Byung-Tak Lee (ICTC, 2022)

A Study of Prediction Methods for lithium-ion Battery Capacity. - Hyun Yong Lee; Nac-Woo Kim; Jun-Gi Lee; Byung-Tak Lee (ICTC, 2022)

An Output-Capacitor-Free Adaptive-Frequency Digital LDO with a 420-mA Load Current and a Fast Settling Time. - Dong-Jick Min; Jun-Gi Lee; Kunhee Cho; Jae Hoon Shim (ISCAS, 2023)

28.1 A Fully Integrated, Domino-Like-Buffered Analog LDO Achieving -28dB Worst-Case Power-Supply Rejection Across the Frequency Spectrum from 10Hz to 1GHz with 50pF On-Chip Capacitance. - Jun-Gi Lee; Hong-Hyun Bae; Seunghyun Jang; Hyun-Sik Kim (ISSCC, 2024)

Building an Indoor Digital Twin - A Use-Case for a Hospital Digital Twin to Analyze COVID-19 Transmission. - Youngin Lee; Min Hyeok Choi; Yong-Soo Song; Jun-Gi Lee; Jin Young Park; Ki-Joune Li (ISPRS Int. J. Geo Inf., 2024)

A Fully Integrated, Domino-Like-Buffered LDO Regulator With High Power-Supply Rejection Across the Full Frequency Spectrum. - Jun-Gi Lee; Hyun-Sik Kim (IEEE J. Solid State Circuits, 2024)

A 1.8V Input, 96.5% Efficiency, 4.05A/mm2 FoM, Three-Level Dual-Path Hybrid Buck Converter with Mitigated Capacitive Inrush Current and Seamless DVS Across a Wide 0.4-to-1.5V Output Range. - Jae-Hyun Kim; Jun-Gi Lee; Hyunki Han; Hyun-Sik Kim (CICC, 2025)