Showing results 1681 to 1700 of 6047
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 |
Defining health service areas in Korea for research on geographic variations in health service utilization = 지역간 의료이용 변이 연구를 위한 의료생활권 구축 연구link Kim, Yona; Lee, Taesik; et al, 한국과학기술원, 2017 |
Delay Analysis of Car-to-Car Reliable Data Delivery Strategies Based on Data Mulling with Network Coding Park, Joon-Sang; Lee, Uichin; Oh, Soon Young; Gerla, Mario; Lun, Desmond Siumen; Ro, Won Woo; Park, Joonseok, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E91D, pp.2524 - 2527, 2008-10 |
Delay guaranteed bandwidth-efficient multicast routing in wireless multi-hop networks = 무선 다중 홉 네트워크에서의 효율적 대역폭 사용을 위한 지연시간 보장 라우팅 알고리즘link Sohn, Hee-Seok; 손희석; et al, 한국과학기술원, 2009 |
Deltas, extended odd holes and their blockers Abdi, Ahmad; Lee, Dabeen, JOURNAL OF COMBINATORIAL THEORY SERIES B, v.136, pp.193 - 203, 2019-05 |
Demand Learning and Dynamic Pricing under Competition in a State-Space Framework Do Chung, Byung; Li, Jiahan; Yao, Tao; Kwon, Changhyun; Friesz, Terry L., IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, v.59, no.2, pp.240 - 249, 2012-05 |
Demand modelling for emergency medical service system with multiple casualties cases: k-inflated mixture regression model Lee, Hyunjin; Lee, Taesik, FLEXIBLE SERVICES AND MANUFACTURING JOURNAL, v.33, no.4, pp.1090 - 1115, 2021-12 |
Demand point aggregation method for covering problems with gradual coverage Jang, Hoon; Lee, Tae-Sik, COMPUTERS & OPERATIONS RESEARCH, v.60, pp.1 - 13, 2015-08 |
Demand-Side Management with Shared Energy Storage System in Smart Grid Jo, Jaeyeon; Park, Jinkyoo, IEEE Transactions on Smart Grid, v.11, no.5, pp.4466 - 4476, 2020-09 |
Demand-side management with shared energy storage system in smart grid = 공유 에너지 저장 시스템을 통한 수요 관리link Jo, Jae Yeon; Park, Jinkyoo; et al, 한국과학기술원, 2020 |
Demystifying diversification strategies by using portfolio optimization techniques = 포트폴리오 최적화 기법을 활용한 분산 투자에 대한 이해link Lee, Yongjae; 이용재; et al, 한국과학기술원, 2016 |
Denoising Monte Carlo Sensitivity Estimates Kim, KK; Kang, W; Shin, Hayong, INFORMS Annual Meeting 2012, INFORMS, 2012-10 |
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