Jun-Gi Lee

According to our database¹, Jun-Gi Lee authored at least 17 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of five.

Timeline

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On csauthors.net:

Bibliography

2024

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Solid-State Circuits Conference, 2024

2023

An Output-Capacitor-Free Adaptive-Frequency Digital LDO with a 420-mA Load Current and a Fast Settling Time.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2022

A Study of Prediction Methods for lithium-ion Battery Capacity.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

An Empirical Study of Remaining Useful Life Prediction using Deep Learning Models.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Towards Uncertainty-aware Remaining Useful Life Prediction via Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

2021

Patch-Level Operation With Adaptive Patch Control for Improving Anomaly Localization.

[BibT_eX]

[DOI]

IEEE Access, 2021

A Study on Online ARIMA Algorithms applying various gradient descent optimization algorithms for Time Series Prediction.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Error Distribution-based Anomaly Score for Forecasting-based Anomaly Detection of PV Systems.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Performance-related Internal Clustering Validation Index for Clustering-based Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

An Approach for Utilizing Correlation among Sensors for Unsupervised Anomaly Detection of Wind Turbine System.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Sound-based anomaly detection using a locally constrained capsule network.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Transformer based prediction method for solar power generation data.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

2020

Machine Learning-based Analysis of correlation between Energy Consumption data of the Company and its Sales.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

A Study on Distance Measure for Effective Anomaly Detection using AutoEncoder.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

Kalman Filter-based Adaptive Forecasting of PV Power Output.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

Acoustic Feature based Abnormal Diagnosis Techniques with Capsule Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

2019

Uncertainty-aware Deep Learning Forecast using Dropout-based Ensemble Method.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019

Jun-Gi Lee

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