Vol. 2 No. 2 (2026): Volume 2 Issue 2 (Jun 2026)
Vol. 2 No. 2 (2026): Volume 2 Issue 2 (Jun 2026)
Archives
Published: 2026-06-18
Articles
Evaluating Short-Term Regime Prediction in the Korean Equity Market: A Large-Scale Study of Decision-Rule Dependence
This study presents a large-scale benchmark and a decision-rule-aware evaluation protocol for short-term regime classification in the Korean stock market. Reliable evaluation in this setting is difficult because reported performance is sensitive...
Korean stock market
Short-term regime classification
Stock-day benchmark
Decision-rule sensitivity
Imbalanced classification
Tabular deep learning
1-13
Comparative Analysis of Medium-Range (72-hour) Temperature Time Series Forecasting Using Korea Meteorological Administration Surface Observation Data
This study presents a comparative evaluation of medium-range (72-hour) air temperature forecasting performance among recent deep learning–based time series models—Neural Hierarchical Interpolation for Time Series Forecasting (NHITS), Temporal...
Air temperature forecasting
time series forecasting
deep learning
Temporal Fusion Transformer
medium range forecasting
meteorological observation data
14-25
The Role of Foundry for High-Performance AI Semiconductors
Recently, the AI semiconductor market has been experiencing rapid advancements across multiple dimensions, including computational performance, energy efficiency, and integration density. As a result, not only the design capabilities of fabless...
AI semiconductor
Fabless company
Foundry company
Manufacturing capability
TSMC
26-37
Practical Applicability of an AI-Based Automated Classification Model in Elderly Care Institutions
This study evaluates the practical applicability of an artificial intelligence (AI)-based automated text classification model in elderly care institutions. While prior research has primarily focused on improving algorithmic performance, limited...
AI text classification
elderly care records
predictive agreement
organizational applicability
logistic regression
38-47
Human-Centered Experience Engineering for Healthcare AI Governance: A SER-M Model Approach
The rapid adoption of artificial intelligence (AI) in healthcare has intensified the "principle-practice gap," where existing governance frameworks provide ethical principles but lack actionable implementation guidance. This study establishes the...
Healthcare AI Governance
Human-Centered Experience Engineering
SER-M Model
Design Science Research
Agent-Based Simulation
48-61