158501 | Prediction of mutation effects using a deep temporal convolutional neural network = 딥 템포럴 컨볼루션 신경망을 이용한 돌연변이 영향 예측 연구link Kim, Ha Young; Kim, Dongsup; et al, 한국과학기술원, 2020 |
158502 | Prediction of N2 and CO2 Gas Hydrate Equilibria Lee, Jae Woo, AIChE national meeting, AIChE, 2006-11-14 |
158503 | Prediction of necking and fracture based on the crystal plasticity Kim, JB; Seo, WS; Hong, SH; Yoon, Jeong Whan, STEEL RESEARCH INTERNATIONAL, v.SPL, pp.1187 - 1190, 2012 |
158504 | Prediction of next-activity set in a multi-user smart space = 다중 사용자 스마트 공간에서의 다음 행위 집합 예측에 관한 연구link Kim, Younggi; Lee, Young Hee; et al, 한국과학기술원, 2018 |
158505 | Prediction of NO in turbulent diffusion flames using Eulerian particle flamelet model Lee, K. W.; Choi, Do Hyung, COMBUSTION THEORY AND MODELLING, v.12, no.5, pp.905 - 927, 2008 |
158506 | Prediction of Noise from an Engine Intake System in a Full Acceleration Condition Ih, Jeong-Guon, Inter noise, pp.0 - 0, 2004-08 |
158507 | Prediction of noise radiation from a fan system: connection between generation and propagation Lee, Duck-Joo; Chung, K. H.; Choi, H. L.; Jeon, Wonju, Fan noise 2nd International Symposium, -, 2003-09-01 |
158508 | Prediction of noise reduction in HVAC ducts with curved bend partitions Ih, Jeong-Guon; Kim Jun-Tai, Proceedings of the 1998 National Conference on Noise Control Engineering. Part 1 (of 3), pp.271 - 276, 1998-04-05 |
158509 | Prediction of Novel Anoctamin1 (ANO1) Inhibitors Using 3D-QSAR Pharmacophore Modeling and Molecular Docking![open access](/image/layout/oa_logo.png) Lee, Yoon Hyeok; Yi, Gwan-Su, INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, v.19, no.10, 2018-10 |
158510 | Prediction of novel metabolic pathways for industrially valuable chemicals Kim, Won Jun; Kim, Dong In; Kim, Hyun Uk; Lee, Sang Yup, 2016 KIChE Spring Meeting, 한국화학공학회, 2016-04-27 |
158511 | Prediction of novel synthetic pathways for the production of desired chemicals Lee, Sang Yup; Kim, Dong In, Copenhagen Bioscience Conferences, 3rd conference, Novo Nordisk Foundation, 2013-05 |
158512 | Prediction of novel synthetic pathways for the production of desired chemicals![open access](/image/layout/oa_logo.png) Cho, Ayoun; Yun, Hongseok; Park, Jin Hwan; Lee, SangYup; Park, Sunwon, BMC SYSTEMS BIOLOGY, v.4, no.35, pp.1 - 16, 2010-03 |
158513 | Prediction of Nuclear Reactor Parameters Using Artificial Neural Network Models Roh, MS; Cheon, SW; Kim, HG; Chang, Soon-Heung, The 2nd International Forum on the Expert Systems and Computer Simulation in Energy Eng., 1992-03 |
158514 | Prediction of Occult Central Lymph Node Metastasis in Papillary Thyroid Carcinoma by Preoperative BRAF Analysis Using Fine-Needle Aspiration Biopsy: A Prospective Study Joo, Ji-Yong; Park, Jae-Yong; Yoon, Yeo-Hoon; Choi, Bobae; Kim, Jin-Man; Jo, Young Suk; Shong, Minho; et al, JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, v.97, no.11, pp.3996 - 4003, 2012-11 |
158515 | Prediction of oncometabolite candidates in cancers by using genome-scale metabolic models and mutation data 김현욱, AI 기반 디지털 바이오 심포지엄, KAIST, 2022-12-06 |
158516 | Prediction of operating time of the nuclear power plant : multiple linear regression analysis = 원자력발전소의 가동시간 예측 : 다중선형회귀분석link Kim, Kyong-Nam; 김경남; et al, 한국과학기술원, 1990 |
158517 | Prediction of opponent hidden information in imperfect information games = 불완전 정보 게임에서 상대방의 숨겨진 정보의 예측link Lee, Kyeongho; 이경호; et al, 한국과학기술원, 2016 |
158518 | Prediction of optimal parameters of semiconductor process by double CVAE model = Double c-VAE model을 통한 semiconductor process target ouput input parameter 예측link Son, In Uk; Sung, Youngchul; et al, 한국과학기술원, 2023 |
158519 | Prediction of pellet properties for an industrial bimodal high-density polyethylene process with Ziegler-Natta catalysts Oh, SJ; Lee, J; Park, Sunwon, INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, v.44, no.1, pp.8 - 20, 2005-01 |
158520 | Prediction of Permeability for Unsaturated Weathered Granite Soils based on Soil water Characteristic curve Lee, Seung Rae; Cui, JL; Kim, YK, KKCNN Symposium on Civil Engineering, 2006-12 |