Showing results 156841 to 156860 of 275279
Predictability through Data Mining as a Test of the Efficient Market Hypothesis s. h. kim; 김형관; s.h. chun, 한국증권학회지, v.9, 1998 |
Predicted cost model for integrated healthcare systems using Markov process Jeong, Sangjin; Youn, Chan-Hyun; Kim, Yong-Woon, 8th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2013, pp.181 - 187, Springer Verlag, 2013-12 |
Predicting 4D printing Factors based on Design of Experiment (DoE) and Machine Learning with Small Data 김정환; 윤용진, Inside 3D printing Conference & Expo, Inside 3D printing Conference & Expo, 2021-10-13 |
Predicting a pre-cancer cellular state based on the attractor state concept Joo, Jae Il; Choi, Minsoo; Cho, Kwang-Hyun, 13th Int. Conf. on Systems Biology (ICSB2012), 2012-08-22 |
Predicting adverse drug reaction signal from medical data via systematic data preprocessing and machine learning 전준혁; 홍유진; 김현욱, BIOINFO 2023 정기학술대회, 한국생명정보학회, 2023-11-14 |
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 explaining changes in urban structure using urban simulation models Kwon, Young Sun; Yinger, John M., International Conference on City Sciences, Tongji University, 2015-06-05 |
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 anticancer drug responses using deep learning based on cancer cell line gene expression profiles and drug molecular fingerprints Han, Younghyun; Kim, Juntae; Cho, Kwang-Hyun, Proc. 18th Int. Conf. on Systems Biology (ICSB2017), Proc. 18th Int. Conf. on Systems Biology (ICSB2017), 2017-08-07 |
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 attentional states with facial videos in online lectures = 얼굴 영상을 통한 온라인 강의 수강생의 집중력 예측 연구link Lee, Taeckyung; Lee, Sung-Ju; et al, 한국과학기술원, 2022 |
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 Box-office Performance: A Hybrid Framework Based on the Combination of Traditional and Big-data Mining Algorithms 예상준; 이문용; 송환준; 김현영; 유강재; 김철, International Conference on Convergence Content 2015, 한국콘텐츠학회, 2015-12-12 |
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 BVI Loadings and Wake Structure of the HART II Rotor Using Adaptive Unstructured Meshes Yu, D. O; Jung, M. S; Kwon, Oh Joon; Yu, Y. H, Presented at the 2nd International Forum on Rotorcraft Multidisciplinary Technology, 2009-10-19 |
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 |
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