Browse "Dept. of Industrial and Systems Engineering(산업및시스템공학과)" by Title
Showing results 1661 to 1680 of 6011
| Decomposition without aggregation for performance approximation in queueing network models of semiconductor manufacturing Shin, Jinho; Grosbard, Dean; Morrison, James R.; Kalir, Adar, INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.57, no.22, pp.7032 - 7045, 2019-11 |
| Decoupling (Un)Loading Operations from the Land-Sea Interface in Port Service: The Mobile Floating Port Concept Lee, Taesik; Morrison, James R., Internatinal Conference on Axiomatic Design, The New University of Lisbon, 2009-03-26 |
| Decoupling loading/unloading operations from the land-sea interface in port service: The mobile floating port concept Morrison, James R; Lee, Taesik, 5th International Conference on Axiomatic Design, ICAD, 2009-03 |
| Deep embedding kernel mixture networks for conditional anomaly detection in high-dimensional data Kim, Hyojoong; Kim, Heeyoung, INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.61, no.4, pp.1101 - 1113, 2023-03 |
| Deep gaussian process models for integrating multifidelity experiments having non-stationary relationships = 심층 가우시안 프로세스를 이용한 비정상성 다중 정밀도 통합모델link Ko, Jongwoo; Kim, Heeyoung; et al, 한국과학기술원, 2020 |
| Deep Gaussian process models for integrating multifidelity experiments with nonstationary relationships Ko, Jongwoo; Kim, Heeyoung, IISE TRANSACTIONS, v.54, no.7, pp.686 - 698, 2022-07 |
| Deep generative models for collaborative filtering with multi-source and high dimensional data = 여러 종류의 다차원 데이터를 가지는 협업 필터링을 위한 딥 생성 모델link Lee, Wonsung; Moon, Il-Chul; et al, 한국과학기술원, 2018 |
| Deep Generative Positive-Unlabeled Learning under Selection Bias Na, Byeonghu; Kim, Hyemi; Song, Kyungwoo; Joo, Weonyoung; Kim, Yoonyeong; Moon, Il-Chul, 29th ACM International Conference on Information and Knowledge Management, CIKM 2020, pp.1155 - 1164, Association for Computing Machinery, 2020-10-19 |
| Deep generative positive-unlabeled learning under selection bias = 선택 편향 상황에서 딥 생성 모델을 이용한 양성-미분류 문제 학습link Na, Byeonghu; Moon, Il-Chul; et al, 한국과학기술원, 2021 |
| Deep hierarchical clustering with Dirichlet Forest Prior = 디리클레 포레스트 사전 확률을 적용한 딥 계층적 클러스터링link Kim, Kyu Seok; Moon, Il-Chul; et al, 한국과학기술원, 2021 |
| Deep hybrid recommender systems via exploiting document context and statistics of items Kim, Donghyun; Park, Chanyoung; Oh, Jinoh; Yu, Hwanjo, INFORMATION SCIENCES, v.417, pp.72 - 87, 2017-11 |
| Deep learning models for anomaly detection and robust density estimation = 이상 탐지와 강건한 밀도 추정을 위한 딥러닝 모델link Kim, Keunseo; Kim, Heeyoung; et al, 한국과학기술원, 2022 |
| Deep learning-based defect detection on livestock operations Kim, HyunSoo; Muallifah, Nabilah; Cho, Yesung; Lee, Bumho; Yi, Mun Yong, International Conference on Research in Adaptive and Convergent Systems, RACS '22, pp.21 - 27, ACM SIGAPP, 2022-10-03 |
| Deep multiplex graph infomax: Attentive multiplex network embedding using global information Park, Chanyoung; Han, Jiawei; Yu, Hwanjo, KNOWLEDGE-BASED SYSTEMS, v.197, 2020-06 |
| Deep Neural Controller: a Neural Network for Model-free predictive Control and its Application to Viscosity Control in Chemical Process Park, Junyoung; Park, Jinkyoo, International Workshop on Structural Health Monitoring (IWSHM), Stanford University, 2017-09-13 |
| Deep Reinforcement Learning With a Look-Ahead Search for Robotic Cell Scheduling Kim, Hyun-Jung; Lee, Jun-Ho, IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, v.54, no.1, pp.622 - 633, 2024-01 |
| Deep Reinforcement Learning with Fully Convolutional Neural Network to Solve An Earthwork Scheduling Problem Woo, Seongcheol; Yeon, Juneyeong; Ji, Mingi; Moon, Il-Chul; Park, Jinkyoo, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.4230 - 4236, IEEE Conference on System, Man, and Cybernetics, 2018-10-07 |
| Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning = 그래프 프로토타입 대조 심층 학습을 이용한 단일 세포 시퀀싱 데이터 군집화link Lee, Junseok; Park, Chanyoung; et al, 한국과학기술원, 2023 |
| Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning Lee, Junseok; Kim, Sungwon; Hyun, Dongmin; Lee, Namkyeong; Kim, Yejin; Park, Chanyoung, BIOINFORMATICS, v.39, no.6, 2023-06 |
| DEEP-REASONING FAULT-DIAGNOSIS - AN AID AND A MODEL Yoon, Wan Chul; HAMMER, JM, IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, v.18, no.4, pp.659 - 676, 1988-07 |
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