BROWSE
Researchers
Detail
Lee Yeonhee
- Department
- Fiscal and Economic Policy Intelligence Research Center
- Contact
- KSP Keywords
| Type | Year | Title | Cited | Download |
|---|---|---|---|---|
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Conference
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2024 | Efficient Deep Reinforcement Learning Framework in Edge Computing Environments Wan-Seon Lim International Conference on Information and Communication Technology Convergence (ICTC) 2024, pp.689-694 | 0 | |
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Conference
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2024 | Analysis of Training Performance of Deep Reinforcement Learning on Single Board Computers Wan-Seon Lim International Conference on Information and Communication Technology Convergence (ICTC) 2024, pp.1349-1354 | 0 | |
|
Conference
|
2024 | A Study on Early Acquisition of Consolidated Fiscal Expenditure Data for Local Governments Hyunjoong Kang International Conference on Information and Communication Technology Convergence (ICTC) 2024, pp.419-424 | 0 | |
|
Conference
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2024 | A Design of a GPU Based Solver for Quadratic Assignment Problems Hyunjoong Kang International Conference on Information and Communication Technology Convergence (ICTC) 2024, pp.635-640 | 0 | |
|
Conference
|
2024 | Preliminary Development on Expanding Digital Twin Technology to Socioeconomic domains: A Case Study of Optimal Social Distancing Policy on COVID-19 Taewan You International Conference on Information and Communication Technology Convergence (ICTC) 2024, pp.2146-2151 | 0 | |
|
Conference
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2024 | Design and Implementation of Scalable Data Collection Framework for SDMX Taehwan Kim International Conference on Information and Communication Technology Convergence (ICTC) 2024, pp.1532-1537 | 0 | |
|
Journal
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2022 | Analysis of QoQ GDP Prediction Performance Using Deep Learning Time Series Model 이연희 정보과학회논문지, v.49, no.10, pp.873-883 |