Inbeom Park
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Bibliography
2026
A genetic algorithm with feasibility-agnostic encoding and three-phase decoding for scheduling semiconductor manufacturing facilities under queue time limits.
Expert Syst. Appl., 2026
2025
A self-imitation learning approach for scheduling evaporation and encapsulation stages of OLED display manufacturing systems.
Robotics Comput. Integr. Manuf., 2025
TSDNet: A two-stage decomposition-based hybrid deep neural network for long-term time series forecasting.
Intell. Data Anal., 2025
A Reinforcement Learning Framework for Personalized Anticoagulation Dosing in Critical Care: Integrating Batch-Constrained Policy Optimization and Off-Policy Evaluation.
IEEE Access, 2025
2024
Development and Validation of Heparin Dosing Policies Using an Offline Reinforcement Learning Algorithm.
CoRR, 2024
An incremental learning approach to dynamic parallel machine scheduling with sequence-dependent setups and machine eligibility restrictions.
Appl. Soft Comput., 2024
2023
Scalable Scheduling of Semiconductor Packaging Facilities Using Deep Reinforcement Learning.
IEEE Trans. Cybern., June, 2023
A Generation and Repair Approach to Scheduling Semiconductor Packaging Facilities Using Case-Based Reasoning.
IEEE Access, 2023
2021
Deep Reinforcement Learning for Minimizing Tardiness in Parallel Machine Scheduling With Sequence Dependent Family Setups.
IEEE Access, 2021
2020
A Reinforcement Learning Approach to Robust Scheduling of Semiconductor Manufacturing Facilities.
IEEE Trans Autom. Sci. Eng., 2020
2018
Telematics Informatics, 2018