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Showing results 156921 to 156940 of 275472

156921
Predator-prey equations with constant harvesting and planting

Choi, Jieun; Kim, Yong-Jung, JOURNAL OF THEORETICAL BIOLOGY, v.458, pp.47 - 57, 2018-12

156922
Predicate-based Caching in Mobile Clients for Continuous Partial Match Queries

Chung, Y.D.; Lee, J.Y.; Lee, Yoon Joon; Kim, Myoung Ho, Seventh Int'l Conference on Database Systems for Advanced Applications, pp.158 - 159, IEEE, 2001-04

156923
Prediciting SCC Susceptibility of Austenitic Stainless Steel by Rapid Scratching Electrode Technique

권혁상; 염경안; 조은애, 한국부식학회 추계학술발표회, 한국부식학회, 1997

156924
Prediciting SCC Susceptibility of Austenitic Stainless Steel by Rapid Scratching Electrode Technique

Kwon, Hyuk-Sang; Yeom, KA; Cho, Eun Ae; Kim, JJ, International Symposium on Electrochemical Methods of Corrosion Research, pp.25 - 29, 1997-01-01

156925
Predict Risk of Stereotactic Body Radiotherapy Induced Vertebral Compression Fracture Using Multi-Modal Deep Learning Network

Lee, Seoyoung; Kim, Hyoyi; Kim, Haeyoung; Cho, Seungryong, Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling, SPIE, 2024-02-19

156926
Predict Sequential Credit Card Delinquency with VaDE-Seq2Seq

Kim, Yeongmin; Cho, Youngjae; Lee, Hanbit; Moon, Il-Chul, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.1159 - 1164, IEEE, 2021-10-17

156927
Predictability of IGSCC Susceptibility of Alloy 600 by Modified EPR Test in Hot Alkaline Solutions

Kwon, Hyuk-Sang, CORROSION SCIENCE AND TECHNOLOGY, 1995-01

156928
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

156929
Predictability through Data Mining as a Test of the Efficient Market Hypothesis

s. h. kim; 김형관; s.h. chun, 한국증권학회지, v.9, 1998

156930
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

156931
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

156932
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

156933
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

156934
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

156935
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

156936
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

156937
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

156938
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

156939
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

156940
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

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