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Jun-Gi Lee
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2020 – today
- 2024
- [c16]Jun-Gi Lee, Hong-Hyun Bae, Seunghyun Jang, Hyun-Sik Kim:
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. ISSCC 2024: 456-458 - 2023
- [c15]Dong-Jick Min, Jun-Gi Lee, Kunhee Cho, Jae Hoon Shim:
An Output-Capacitor-Free Adaptive-Frequency Digital LDO with a 420-mA Load Current and a Fast Settling Time. ISCAS 2023: 1-5 - 2022
- [c14]Hyunyong Lee, Nac-Woo Kim, Jun-Gi Lee, Byung-Tak Lee:
Towards Uncertainty-aware Remaining Useful Life Prediction via Domain Adaptation. ICTC 2022: 1625-1628 - [c13]Hyunyong Lee, Nac-Woo Kim, Jun-Gi Lee, Byung-Tak Lee:
An Empirical Study of Remaining Useful Life Prediction using Deep Learning Models. ICTC 2022: 1639-1642 - [c12]Hyun Yong Lee, Nac-Woo Kim, Jun-Gi Lee, Byung-Tak Lee:
A Study of Prediction Methods for lithium-ion Battery Capacity. ICTC 2022: 1840-1845 - 2021
- [j1]Hyunyong Lee, Nac-Woo Kim, Jun-Gi Lee, Byung-Tak Lee:
Patch-Level Operation With Adaptive Patch Control for Improving Anomaly Localization. IEEE Access 9: 90727-90737 (2021) - [c11]Nac-Woo Kim, HyunYong Lee, Jun-Gi Lee, Byung-Tak Lee:
Transformer based prediction method for solar power generation data. ICTC 2021: 7-9 - [c10]Nac-Woo Kim, HyunYong Lee, Jun-Gi Lee, Byung-Tak Lee:
Sound-based anomaly detection using a locally constrained capsule network. ICTC 2021: 73-75 - [c9]HyunYong Lee, Nac-Woo Kim, Jun-Gi Lee, Byung-Tak Lee:
An Approach for Utilizing Correlation among Sensors for Unsupervised Anomaly Detection of Wind Turbine System. ICTC 2021: 104-109 - [c8]HyunYong Lee, Nac-Woo Kim, Jun-Gi Lee, Byung-Tak Lee:
Performance-related Internal Clustering Validation Index for Clustering-based Anomaly Detection. ICTC 2021: 1036-1041 - [c7]Jun-Gi Lee, HyunYong Lee, Nac-Woo Kim, Byung-Tak Lee:
A Study on Online ARIMA Algorithms applying various gradient descent optimization algorithms for Time Series Prediction. ICTC 2021: 1104-1106 - [c6]HyunYong Lee, Nac-Woo Kim, Jun-Gi Lee, Byung-Tak Lee:
Error Distribution-based Anomaly Score for Forecasting-based Anomaly Detection of PV Systems. ICTC 2021: 1144-1146 - 2020
- [c5]Nac-Woo Kim, HyunYong Lee, Sangjun Park, Jun-Gi Lee, Byung-Tak Lee:
Acoustic Feature based Abnormal Diagnosis Techniques with Capsule Networks. ICTC 2020: 1147-1149 - [c4]Jun-Gi Lee, Nac-Woo Kim, HyunYong Lee, Sangjun Park, Byung-Tak Lee:
Machine Learning-based Analysis of correlation between Energy Consumption data of the Company and its Sales. ICTC 2020: 1258-1260 - [c3]HyunYong Lee, Nac-Woo Kim, Jun-Gi Lee, Byung-Tak Lee:
Kalman Filter-based Adaptive Forecasting of PV Power Output. ICTC 2020: 1342-1347 - [c2]HyunYong Lee, Nac-Woo Kim, Jun-Gi Lee, Byung-Tak Lee:
A Study on Distance Measure for Effective Anomaly Detection using AutoEncoder. ICTC 2020: 1348
2010 – 2019
- 2019
- [c1]HyunYong Lee, Nac-Woo Kim, Jun-Gi Lee, Byung-Tak Lee:
Uncertainty-aware Deep Learning Forecast using Dropout-based Ensemble Method. ICTC 2019: 1120-1125
Coauthor Index
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