Showing results 47161 to 47180 of 279498
Combining data from two independent surveys: a model-assisted approach Kim, Jae Kwang; Rao, J. N. K., BIOMETRIKA, v.99, no.1, pp.85 - 100, 2012-03 |
Combining decomposable knowledge structures Kim, Sung-Ho; Kil, Rhee Man, The 7th International Conference on Neural Information Processing, pp.838 - 841, 2000-11-15 |
Combining dynamic process simulation and Monte Carlo simulation for risk-based design Noh, Yeelyong; Chang, Daejun, European Safety and Reliability Conference, ESREL 2013, pp.1903 - 1906, European Safety and Reliability Association, 2013-09-30 |
Combining ECN and RTT for Datacenter Transport Zeng, Gaoxiong; Bai, Wei; Chen, Ge; Chen, Kai; Han, Dongsu; Zhu, Yibo, 1st Asia-Pacific Workshop on Networking, APNET 2017, pp.36 - 42, Association for Computing Machinery, 2017-08-03 |
Combining empirical knowledge, in silico molecular docking and ADMET profiling to identify therapeutic phytochemicals from Brucea antidysentrica for acute myeloid leukemia Bultum, Lemessa Etana; Tolossa, Gemechu Bekele; Lee, Doheon, PLOS ONE, v.17, no.7, 2022-07 |
Combining Fe-N-C single Atom Catalyst and Host design for high performance Lithium-Sulfur Batteries 박철영; 이진우, 2022 한국화학공학회 춘계총회 및 학술대회, 한국화학공학회, 2022-04-22 |
Combining forward and backward processing for Korean BaseNP Identification Kim, Gil Chang, International Conference on Natural Language Processing and Knowledge Engineering, pp.689 - 697, 2003 |
Combining functional and diffusion tensor MRI Kim, Dae-Shik; Kim, M, WHITE MATTER IN COGNITIVE NEUROSCIENCE: ADVANCES IN DIFFUSION TENSOR IMAGING AND ITS APPLICATIONS BOOK SERIES: ANNALS OF THE NEW YORK ACADEMY OF SCIENCES, v.1064, pp.1 - 1, 2005 |
Combining genetic algorithms and support vector machines for banktruptcy prediction Min, Sung-Hwan; Lee, Jumin; Han, Ingoo, Korea Intelligent Information Systems Society, pp.179 - 188, Korea Intelligent Information Systems Society, 2004 |
Combining global and local information for enhanced deep classification Oh, H.-S.; Choi, Y.; Myaeng, Sung Hyon, 25th Annual ACM Symposium on Applied Computing, SAC 2010, pp.1760 - 1767, ACM, 2010-03-22 |
Combining ICA and top-down attention for robust speech recognition Bae, JM; Lee, Soo-Young, Neural Information Processing Systems, NIPS'00, 2000-11 |
Combining in silco genome scale metabolic analysis with comparative genomics for strain improvement Lee, SangYup, International Symposium and annual meeting of KSBB, KSBRG, 2005-10 |
COMBINING MANY-SORTED LOGIC AND OBJECT-ORIENTED PROGRAMMING KIM, BM; RYU, KY; Maeng, SeungRyoul; Cho, Jung Wan, INFORMATION AND SOFTWARE TECHNOLOGY, v.35, no.4, pp.241 - 253, 1993-04 |
Combining metabolic engineering and biocompatible chemistry for high-yield production of homo-diacetyl and homo-(S,S)-2,3-butanediol Liu, Jianming; Chan, Siu Hung Joshua; Brock-Nannestad, Theis; Chen, Jun; Lee, Sang Yup; Solem, Christian; Jensen, Peter Ruhdal, METABOLIC ENGINEERING, v.36, pp.57 - 67, 2016-07 |
Combining Multi-Scale Features Using Sample-level Deep Convolutional Neural Networks for Weakly Supervised Sound Event Detection Lee, Jongpil; Park, Jiyoung; Kum, Sangeun; Jeong, Youngho; Nam, Juhan, Proceedings of the 2nd Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE), IEEE, 2017-11-17 |
Combining multiple decisions based on dependence relationship = 의존관계를 기반으로한 다수 결정의 결합link Kang, Hee-Joong; 강희중; et al, 한국과학기술원, 1997 |
Combining Multiple Feature Representations and AdaBoost Ensemble Learning for Reducing False-positive Detections in Computer-Aided Detection of Masses on Mammograms Choi, Jae Young; Kim, Dae Hoe; Plataniotis, Konstantinos N.; Ro, YongMan, 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE Engineering in Medicine and Biology Society, 2012-08 |
Combining multiple microarray studies and modeling interstudy variation Choi, Jung Kyoon; Yu, U.; Kim, S.; Yoo, O.J., 11th International Conference on Intelligent Systems for Molecular Biology, v.19, 2003-06-29 |
Combining multiple microarray studies and modeling interstudy variation Choi, Jung Kyoon; Yu, Ungsik; Kim, Sangsoo; Yoo, Ook Joon, BIOINFORMATICS, v.19, no.1, pp.84 - 90, 2003-07 |
COMBINING MULTIPLE NEURAL NETWORKS BY FUZZY INTEGRAL FOR ROBUST CLASSIFICATION CHO, SB; Kim, JinHyung, IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, v.25, no.2, pp.380 - 384, 1995-02 |
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