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| CLASSIFICATION AND PREDICTION OF THE CRITICAL HEAT-FLUX USING FUZZY THEORY AND ARTIFICIAL NEURAL NETWORKS MOON, SK; Chang, Soon-Heung, NUCLEAR ENGINEERING AND DESIGN, v.150, no.1, pp.151 - 161, 1994-09 |
| Classification and syzygies of smooth projective varieties with 2-regular structure sheaf Kwak, Sijong; Park, Jinhyung, MATHEMATISCHE NACHRICHTEN, v.293, no.7, pp.1378 - 1389, 2020-07 |
| Classification and variable selection algorithms using signomial function = Signomial 함수를 이용한 분류와 변수 선택 해법link Hwang, Kyoung-Mi; 황경미; et al, 한국과학기술원, 2013 |
| Classification and Volume Morphing for Performance-Driven Facial Animation Fidaleo, D.; Noh, Junyong; Enciso, R.; Neumann, Ulrich, Digital and Computational Video, 1999 |
| Classification methods for complex diseases using molecular networks = 분자네트워크를 이용한 복합성 질환의 분류기법link Lee, Eun-Jung; 이은정; et al, 한국과학기술원, 2008 |
| Classification of 'Nocardioides fulvus' IFO 14399 and Nocardioides sp. ATCC 39419 in Kribbella gen. nov., as Kribbella flavida sp. nov. and Kribbella sandramycini sp. nov. Park, Y.H.; Yoon, J.H.; Shin, Y.K.; Suzuki, K.I.; Kudo, T.; Seino, A.; Kim, H.J.; et al, INTERNATIONAL JOURNAL OF SYSTEMATIC BACTERIOLOGY, v.49, pp.743 - 752, 1999 |
| Classification of acidophilic, neutrotolerant and neutrophilic streptomycetes by nucleotide sequencing of 5S ribosomal RNA PARK, YH; YIM, DG; Kim, Eunjoon; KHO, YH; MHEEN, TI; LONSDALE, J; GOODFELLOW, M, JOURNAL OF GENERAL MICROBIOLOGY, v.137, pp.2269 - 9, 1991-09 |
| Classification of afferent signals recorded with a single cuff electrode Choi C.; Carpaneto J.; Lago N.; Kim, Jung; Dario P.; Navarro X.; Micera S., 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07, v.2007, pp.2385 - 2388, 2007-08-23 |
| Classification of Alzheimer’s disease using multivariate pattern analysis of resting fMRI with cluster coefficient Lee, Young-Beom; Yoo, Kwangsun; William Seunghyun Sohn; Jeong, Yong, 19th Annual Meeting of the Organization for Human Brain Mapping, Organization for Human Brain Mapping, 2013-06-17 |
| Classification of Alzheimer’s disease with resting state brain network using multivariate pattern analysis Lee, Young Beom; Yoo, Kwangsun; Sohn, William S; Jeong, Yong, 2013 Annual meeting of Korean Society for Korean Human Brain Mapping, pp.53 -, Korean Society for Korean Human Brain Mapping, 2013-11-01 |
| Classification of amino acid atomic force microscopy(AFM) images using deep learning technology = 심층학습 기술을 이용한 아미노산 원자힘 현미경 영상의 분류link Kwon, Tae-Jin.; Cho, Seung Ryong; et al, 한국과학기술원, 2018 |
| Classification of Arrhythmia Based on Discrete Wavelet Transform and Rough Set Theory Bien, Zeung nam, Proc. of ICCAS 2001 (International Conference on Control, Automation and Systems), pp.135 - 137, 2001 |
| CLASSIFICATION OF BETTI DIAGRAMS OF VARIETIES OF ALMOST MINIMAL DEGREE Lee, Wanseok; Park, Euisung, JOURNAL OF THE KOREAN MATHEMATICAL SOCIETY, v.48, no.5, pp.1001 - 1015, 2011 |
| Classification of cancer patients based on quantification of exon-2 deleted AIMP2 expression Ku, Jayoung; Kim, Yoosik; Kim, Min A, The 23rd Symposium of Young Asian Biological Engineers' Community, YABEC, 2017-10-19 |
| Classification of classical orthogonal polynomials KIL H. KWON; Lance L. Littlejohn, JOURNAL OF THE KOREAN MATHEMATICAL SOCIETY, v.34, no.4, pp.973 - 1008, 1997-06 |
| Classification of cognitive tasks from multi-channel fNIRS signals using convolutional neural networks Lee, Haeil; Kim, Myeong Gee; Lee, Gibbeum; JI, MINSU; Kim, Jae Myoung; Choi, Min Gyu; Bae, Hyeon-Min, 46th Annual Meeting of ISOTT, International Society on Oxygen Transport to Tissue (ISOTT), 2018-07-03 |
| Classification of Critical Heat Flux Patterns Based on Parametric Trends Using the Entropy Minimax Principle Baek, WP; Park, JW; Chang, Soon-Heung, International Conference on Multiphase Flow, pp.67 - 70, 1991 |
| CLASSIFICATION OF CRITICAL HEAT-FLUX PATTERNS USING ENTROPY MINIMAX PRINCIPLE Chang, Soon-Heung; BAEK, WP; PARK, JW, INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER, v.18, no.2, pp.185 - 193, 1991 |
| Classification of Data Expressed in Different Abstraction Levels Lee, Doheon, ISAIS, pp.17 - 21, 2001-08 |
Classification of Diffuse Glioma Subtype from Clinical-Grade Pathological Images Using Deep Transfer Learning Im, Sanghyuk; Hyeon, Jonghwan; Rha, Eunyoung; Lee, Janghyeon; Choi, Ho-Jin; Jung, Yuchae; Kim, Tae-Jung, SENSORS, v.21, no.10, 2021-05 |
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