Showing results 1641 to 1660 of 6098
Cyclic Scheduling of Cluster Tools With Nonidentical Chamber Access Times Between Parallel Chambers Kim, Dae-Kyu; Jung, Yu-Ju; Jung, Chi-Hyun; Lee, Tae-Eog, IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, v.25, no.3, pp.420 - 431, 2012-08 |
Cyclic scheduling of sequqntially connected cluster tools with a single I/O module Kim, Dae-Kyu; Lee, Tae-Eog, IFAC Conference on Manufacturing Modelling, Management and Control, IFAC MIM, 2013-06-20 |
Cyclic scheduling of timed petri nets : behavior, optimization, and application to cluster tools = 시간을 갖는 페트리넷의 주기적 스케쥴링 : 행태, 최적화, 클러스터 장비에의 응용link Jung, Chi-Hyun; 정치현; et al, 한국과학기술원, 2010 |
Cyclic scheduling of timed petri nets: Efficient exact algorithms and heuristic method = 시간을 갖는 페트리 넷의 주기적 스케줄링: 효율적인 정확한 알고리즘과 휴리스틱 방법link Lee, Hyeong-Yun; 이형윤; et al, 한국과학기술원, 2023 |
Dantzig-Wolfe decomposition approach to the vehicle assignment problem with demand uncertainty in a hybrid hub-and-spoke network Choi, Jiyoung; Lee, Chungmok; Park, Sungsoo, ANNALS OF OPERATIONS RESEARCH, v.264, no.1-2, pp.57 - 87, 2018-05 |
Data augmentation to address various rotation errors of wearable sensors for robust pre-impact fall detection Yu, Xiaoqun; Ma, Tianjun; Jang, Jaehyuk; Xiong, Shuping, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, v.27, no.5, pp.2197 - 2207, 2023-05 |
Data clustering by minimizing disconnectivity Lee, Jong-Seok; Olafsson, Sigurdur, INFORMATION SCIENCES, v.181, no.4, pp.732 - 746, 2011-02 |
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective Whang, Steven Euijong; Roh, Yuji; Song, Hwanjun; Lee, Jae-Gil, VLDB JOURNAL, v.32, no.4, pp.791 - 813, 2023-07 |
Data Driven Analytics (Machine Learning) for System Characterization, Diagnostics and Control Optimization Park, Jinkyoo; Ferguson, Max; Law, Kincho, 25th Workshop of the European-Group-for-Intelligent-Computing-in-Engineering (EG-ICE), pp.16 - 36, the European Group for Intelligent Computing in Engineering, 2018-06-11 |
Data driven optimization for practical large scale operation of automated material handling system in semiconductor FABs = 대규모 반도체 팹 자동 반송 시스템의 데이터 기반 최적 운영 연구link Hong, Sangpyo; Jang, Young Jae; et al, 한국과학기술원, 2022 |
Data integration and arrangement in the shop floor based-on time stamp: An illustrative study of CNC machining Kim, Rockwon; Chi, Su-Young; Yoon, Wan-Chul, 8th International Conference on Ubiquitous and Future Networks, ICUFN 2016, pp.121 - 124, IEEE Computer Society, 2016-07 |
Data mining for recognizing patterns in foodborne disease outbreaks Thakur, Maitri; Olafsson, Sigurdur; Lee, Jong-Seok; Hurburgh, Charles R., JOURNAL OF FOOD ENGINEERING, v.97, no.2, pp.213 - 227, 2010-03 |
Data traffic scheduling algorithm for multiuser OFDM system with adaptive modulation considering fairness among users Jeong, SB; Kim, Sehun; Lee, H, COMPUTERS & OPERATIONS RESEARCH, v.32, no.7, pp.1723 - 1737, 2005-07 |
Data-driven approach for demand estimation and optimization of EMS system operation = 데이터 기반 응급의료체계 수요추정 및 운영 최적화 연구link Lee, Hyunjin; Lee, Taesik; et al, 한국과학기술원, 2020 |
Data-Driven Automatic Calibration for Validation of Agent-Based Social Simulations Moon, Il-Chul; Kim, Dongjun; Yun, Tae-Sub; Bae, Jang Won; Kang, Dong-Oh; Paik, Euihyun, IEEE International Conference on Systems, Man, and Cybernetics 2018 (SMC 2018), pp.1605 - 1610, IEEE, 2018-10-07 |
Data-Driven Ballistic Coefficient Learning for Future State Prediction of High-Speed Vehicles Song, KW; Kim, SH; Tak, JH; Choi, HL; Moon, Il Chul, International Conference on Information Fusion (FUSION), ISIF, 2016-07-05 |
Data-driven controller design for aircraft maneuver control with bayesian optimization = 베이지안 최적화를 이용한 항공기 기동 제어용 데이터 기반 제어기 설계link Kim, Dohyung; Moon, Il-Chul; et al, 한국과학기술원, 2019 |
Data-driven Digital Therapeutics Analytics Lee, Uichin; Jung, Gyuwon; Park, Sangjun; Ma, Eun-Yeol; Kim, Heeyoung; Lee, Yonggeon; Noh, Youngtae, 2023 IEEE International Conference on Big Data and Smart Computing, BigComp 2023, pp.386 - 388, Institute of Electrical and Electronics Engineers Inc., 2023-02-13 |
Data-Driven Wind Farm Control Using Contextual Bayesian Ascent Algorithm Park, Jinkyoo, American Control Conference (ACC), the American Automatic Control Council, 2017-05-25 |
Dataset distillation via loss approximation for continual learning = 지속학습을 위한 손실함수 근사를 통한 데이터셋 증류법link Shin, Donghyeok; Moon, Il-Chul; et al, 한국과학기술원, 2022 |
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