Showing results 65301 to 65320 of 101401
Predictability of IGSCC Susceptibility of Alloy 600 by Modified EPR Test in Hot Alkaline Solutions Kwon, Hyuk-Sang, CORROSION SCIENCE AND TECHNOLOGY, 1995-01 |
Predictability of Interest Rates using Data Mining Tools: A Comparative Analysis of Korea and the US s.h. kim; Steven Hyung Kim; h.j. noh, EXPERT SYSTEMS WITH APPLICATIONS, v.13, no.2, pp.85 - 95, 1997 |
Predictability through Data Mining as a Test of the Efficient Market Hypothesis s. h. kim; 김형관; s.h. chun, 한국증권학회지, v.9, 1998 |
Predicting aerodynamic rotor-fuselage interactions by using unstructured meshes Lee, JK; Kwon, Oh Joon, TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, v.44, no.146, pp.208 - 216, 2002-02 |
Predicting anatomical landmarks and bone morphology of the femur using local region matching Phan, Cong-Bo; Koo, Seungbum, INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, v.10, no.11, pp.1711 - 1719, 2015-11 |
Predicting and adapting satellite channels with weather-induced impairments Choi, JP; Chan, VWS, IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, v.38, no.3, pp.779 - 790, 2002-07 |
Predicting and improving the protein sequence alignment quality by support vector regression Lee, Min-Ho; Jeong, Chan-Seok; Kim, Dong-Sup, BMC BIOINFORMATICS, v.8, 2007-12 |
Predicting Atomic Force Microscopy Topography from Optical Microscopes Using Deep Learning Jeong, Jaewoo; Kim, Taeyeong; Lee, Bong Jae; Lee, Jungchul, ADVANCED INTELLIGENT SYSTEMS, v.5, no.1, 2023-01 |
Predicting Autism Spectrum Disorder Using Blood-based Gene Expression Signatures and Machine Learning Oh, Dong Hoon; Kim, Il Bin; Kim, Seok Hyeon; Ahn, Dong Hyun, CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE, v.15, no.1, pp.47 - 52, 2017-02 |
Predicting biochemical and physiological effects of natural products from molecular structures using machine learning Jeon, Junhyeok; Kang, Seongmo; Kim, Hyun Uk, NATURAL PRODUCT REPORTS, v.38, no.11, pp.1954 - 1966, 2021-11 |
Predicting body movements for person identification under different walking conditions Nguyen, Duc-Phong; Phan, Cong-Bo; Koo, Seungbum, FORENSIC SCIENCE INTERNATIONAL, v.290, pp.303 - 309, 2018-09 |
Predicting BVI Loadings and Wake Structure of the HART II Rotor Using Adaptive Unstructured Meshes Yu DO; Jung MS; Kwon OJ; Yu YH, INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES , v.10, no.2, pp.95 - 105, 2009-11 |
Predicting clinical benefit of immunotherapy by antigenic or functional mutations affecting tumour immunogenicity Kim, Kwoneel; Kim, Hong Sook; Kim, Jeong Yeon; Jung, Hyunchul; Sun, Jong-Mu; Ahn, Jin Seok; Ahn, Myung-Ju; et al, NATURE COMMUNICATIONS, v.11, no.1, 2020-02 |
Predicting computer task performance: Personal goal and self-efficacy Yi, Mun Yong; Im, K.S., JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING, v.16, no.2, pp.20 - 37, 2004-04 |
Predicting corporate defaults using machine learning with geometric-lag variables Kim, Hyeongjun; Cho, Hoon; Ryu, Doojin, INVESTMENT ANALYSTS JOURNAL, v.50, no.3, pp.161 - 175, 2021-07 |
Predicting disease phenotypes based on the molecular networks with Condition-Responsive Correlation Lee, Se-Joon; Lee, Eun-Jung; Lee, Kwang-Hyung; Lee, Do-Heon, INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, v.5, no.2, pp.131 - 142, 2011-03 |
Predicting double-blade vertical axis wind turbine performance by a quadruple-multiple streamtube model Hara, Y.; Kawamura, T.; Akimoto, Hiromichi; Tanaka, K.; Nakamura, T.; Mizumukai, K., International Journal of Fluid Machinery and Systems, v.7, no.1, pp.16 - 27, 2014-03 |
Predicting Drug-Target Interaction Using a Novel Graph Neural Network with 3D Structure-Embedded Graph Representation Lim, Jaechang; Ryu, Seongok; Park, Kyubyong; Choe, Yo Joong; Ham, Jiyeon; Kim, Woo Youn, JOURNAL OF CHEMICAL INFORMATION AND MODELING, v.59, no.9, pp.3981 - 3988, 2019-09 |
Predicting Dynamic Clinical Outcomes of the Chemotherapy for Canine Lymphoma Patients Using a Machine Learning Model Koo, Jamin; Choi, Kyucheol; Lee, Peter; Polley, Amanda; Pudupakam, Raghavendra Sumanth; Tsang, Josephine; Fernandez, Elmer; et al, VETERINARY SCIENCES, v.8, no.12, pp.8120301, 2021-12 |
Predicting epileptic seizures from scalp EEG based on attractor state analysis Chu, Hyunho; Chung, Chun Kee; Jeong, Woorim; Cho, Kwang-Hyun, COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, v.143, pp.75 - 87, 2017-05 |
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