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Predictive Intelligence Lab

동국대학교 본교(제1캠퍼스) 산업시스템공학과

김관호 교수

AI Scheduler

AI 스케줄러

Deep Learning

딥 러닝

딥러닝

발행물

전체 논문

57

11

Deep Reinforcement Learning-Based Scheduler on Parallel Dedicated Machine Scheduling Problem towards Minimizing Total Tardiness
Donghun Lee, Hyeongwon Kang, Dongjin Lee, Jeonwoo Lee, Kwanho Kim
Sustainability, 2023

12

실험계획법과 메타모델을 활용한 상태 변수 조합 효과 탐색 프레임워크: 심층강화학습 기반 TFT-LCD 공정 스케줄링을 중심으로
김종은, 이하은, 유우식, 김관호
전자거래학회지, 2022

13

작업물 분할이 가능한 작업물 전용 이종병렬설비에서 작업준비 수와 납기지연시간을 최소화하기 위한 딥러닝 기반의 일정계획 수립 모델
이동진, 이동훈, 김관호
한국전자거래학회, 2022

14

A machine learning based classification models for plastic recycling using different wavelength range spectrums
Berny Carrera, Victor Luid Piñol, Judit Bazin Mata, Kwanho Kim
Journal of Cleaner Production, 2022

15

Business Transaction Recommendation for Discovering Potential Business Partners Using Deep Learning
Donghun Lee, Kwanho Kim*
Expert Systems with Applications, 2022

16

Meta-Regression Framework for Energy Consumption Prediction in a Smart City: A Case Study of Songdo in South Korea
Berny Carrera, Suzanne Peyrard, Kwanho Kim*
Sustainable Cities and Society, 2021

17

PV Power Prediction in a Peak Zone Using Recurrent Neural Networks in the Absence of Future Meteorological Information
Donghun Lee, Kwanho Kim*
Renewable Energy, 2021

18

Applying Deep Learning to the Heat Production Planning Problem in a District Heating System
Donghun Lee, Seok-man Yoon, Jaeseung Lee, Kwanho Kim*, Sang Hwa Song
Energies, 2020

19

Comparison Analysis of Machine Learning Techniques for Photovoltaic Prediction Using Weather Sensor Data
Berny Carrera, Kwanho Kim*
Sensors, 2020

20

작업 준비비용 최소화를 고려한 강화학습 기반의 실시간 일정계획 수립기법
유우식, 김성재, 김관호
전자거래학회지, 2019