8 papers
Local-Global Feature Mixer and Trend-Guided Consistent Learning for Remaining Useful Life Prediction of Rotating Machinery
Hanbyeol Park, Hyerim Bae
Degradation process (DP) modeling is widely used for remaining useful life (RUL) prediction, particularly when run-to-failure data are limited. Neural networks can present complex…
Variable-Horizon Workforce Demand Forecasting with an Aggregate Demand Constraint for Construction Workforce Planning
Hanbyeol Park, Hanbyeol park, Jaehyeon Heo +3
Workforce planning is a recurring operational decision during construction projects that requires accurate forecasts of the future workforce demand for individual tasks. However, i…
LAST-RAG: Literature-Anchored Stochastic Trajectory Retrieval-Augmented Generation for Knowledge-Conditioned Degradation Model Selection
Hanbyeol Park, Hyerim Bae
Stochastic-process-based degradation modeling is a core approach for estimating the distribution of remaining useful life (RUL); however, the selection of an appropriate stochastic…
Domain-Adaptive Health Indicator Learning with Degradation-Stage Synchronized Sampling and Cross-Domain Autoencoder
Jungho Choo, Hanbyeol Park, Gawon Lee +2
The construction of high quality health indicators (HIs) is crucial for effective prognostics and health management. Although deep learning has significantly advanced HI modeling,…
Generative AI and Machine Learning Collaboration for Container Dwell Time Prediction via Data Standardization
Minseop Kim, Takhyeong Kim, Taekhyun Park +2
Import container dwell time (ICDT) prediction is a key task for improving productivity in container terminals, as accurate predictions enable the reduction of container re-handling…
Application of Large Language Models for Container Throughput Forecasting: Incorporating Contextual Information in Port Logistics
Minseop Kim, Jaeeun Kwon, Hanbyeol Park +3
Recent advancements in generative artificial intelligence (AI) have demonstrated its substantial potential in various fields. However, its application in port logistics remains und…