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Author

Dogeun Park

Institution: Hallym University
Observed institution: Hallym University
ORCID: 0009-0003-5498-6661
Observed ORCID: 0009-0003-5498-6661
OpenAlex ID: A5085641165
Early warning score and feasible complementary approach using artificial intelligence-based bio-signal monitoring system: a review
2025 · Dogeun Park, Kwangsub So, et al. · Biomedical Engineering Letters · 25
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SSPNet: Towards Feasible Spatio-Spectral Portraits-Based Deep Learning Framework for Neurodegenerative Disease Multi-classification
2025 · Ho-Jung Kim, Dogeun Park, et al. · Lecture notes in computer science · 4
Towards Feasible Deep Learning Approach Using EEG for Neurodegenerative Diseases
2025 · Dogeun Park, Ho-Jung Kim, et al. · International Winter Conference on Brain-Computer Interface (BCI) · 3
A Proposed LLM-Based Supported Treatment Framework for Intracerebral Hemorrhage
2025 · Ho-Jung Kim, Dogeun Park, et al. · International Conference on Consumer Electronics · 2
Stable Character Recognition Strategy Using Ventilation Manipulation in ERP-Based Brain-Computer Interface
2023 · Dogeun Park, Young-Gi Ju, et al. · Lecture notes in computer science · 1
Dual-Branch Deep Learning Framework using EEG Frequency Ratio Features for Dementia Classification
2026 · Dongbin Kim, Dogeun Park, et al. · International Winter Conference on Brain-Computer Interface (BCI)
Parameter Pliable Variational Mode Decomposition and Clustering Based Gravitational Search Algorithm Techniques for Bird Sound Classification
2025 · Sunil Kumar Prabhakar, Dogeun Park, et al. · International Conference on Advanced Communications Technology (ICACT)
Integrative Human-Computer Interaction System Using Eyes and Facial Movement
2025 · Jehyeon Park, Jeong-Woo Jang, et al. · International Conference on Consumer Electronics
VAMLM-PDD: Vigorous Amalgamated Machine Learning Model for Investigating Parkinson's Disease Detection
2024 · S.K. Prabhakar, Dogeun Park, et al. · International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)
Works count: 10
Citation count: 35
H-index: 3
I10-index: 1
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