Vol. 2 No. 1 (2025): Volume 2 Issue 1 (November 2025)
Vol. 2 No. 1 (2025): Volume 2 Issue 1 (November 2025)
Archives
Published: 2025-11-28
Articles
A Study on Anomaly Detection and Hybrid Forecasting Model Using Underground Stormwater Pipe Water Level Time-Series Data for Urban Flood Prediction
As urban flooding risks intensify due to climate change, developing accurate and real-time predictive systems has become critical for disaster preparedness and response. This study proposes an AI-based flood prediction model...
Time Series Prediction
Anomaly Detection
Water Level Prediction
Hybrid Model
LSTM
ConvLSTM
Transformer
2-16
A Hybrid Ensemble Framework for Privilege Anomaly Detection in Multi-Cloud Environments
With the rapid expansion of cloud computing, privilege abuse and escalation attacks in multi-cloud environments are emerging as a core security threat for organizations. Existing research shows limitations due to a lack of context from reliance...
Multi-Cloud Security
Privilege Anomaly Detection
Hybrid Ensemble
Explainable AI (XAI)
ROC-AUC
Precision-Recall Curve
17-29
Research on how to increase user engagement of Korean AI tutoring service using token economy
While AI tutoring has strengths in personalization, it is limited by a lack of emotional and social interaction to keep learners engaged. To address this issue, this research proposes a new model that fuses AI tutoring with blockchain-based...
30-40
Causal Policy Analysis in Financial Time Series Using Deep Learning X-Learner
This study employs the X-Learner algorithm with deep learning models (MLP, LSTM, GRU, CNN) to causally estimate performance differences between cyclical (T=1) and defensive (T=0) asset classes in financial time-series data. The results show that...
X-Learner
Causal Inference
Time-Series Analysis
Deep Learning
41-49
Enhancing Stock Price Prediction using StockGPT: An Empirical Study on the Effectiveness of Macroeconomic Indicators
This study explores the enhancement of stock price prediction using StockGPT, a transformer-based generative model, by integrating macroeconomic indicators and feature engineering techniques. Using data from U.S. tech stocks and the S&P 500...
StockGPT
stock price prediction
macroeconomic indicators
transformer model
feature engineering
Permutation Importance
50-57