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Showing results 158561 to 158580 of 278078

158561
Predicting SCC susceptibility of austenitic stainless steel by rapid scratching electrode technique

Yeom, KA; Cho, EA; Kwon, Hyuk-Sang; Kim, JJ, ELECTROCHEMICAL METHODS IN CORROSION RESEARCH VI, PTS 1 AND 2, v.289-2, pp.969 - 978, 1998

158562
Predicting SCC Susceptibility of Austenitic Stainless Steel by Rapid Scratching Electrode Technique

Cho, Eun-Ae; Yeom, KA; Kwon, HS; Kim, JJ, International Symposium on Electrochemical Methods for Corrosion Research, International Symposium on Electrochemical Methods for Corrosion Research, 1997-08-25

158563
Predicting Seoul Subway Hourly Passenger Demand Using Neural Network Models

Shin, Yu Yol; Cho, Jungwoo; Kim, Nam Woo; Yoon, Yoonjin, The 2nd Asian Conference on Railway Engineering and Transportation, The Korean Society for Railway, 2018-10-17

158564
Predicting stress between human body and wearable equipment using the soft tissue mass-spring model = 연조직 질량 스프링 모델을 이용한 인체와 착용장비 사이의 응력 예측link

Park, Jonghyeon; 박종현; et al, 한국과학기술원, 2024

158565
Predicting Suicidal Ideation in College Students with Mental Health Screening Questionnaires

Shim, Geumsook; Jeong, Bumseok, PSYCHIATRY INVESTIGATION, v.15, no.11, pp.1037 - +, 2018-11

158566
PREDICTING SUSCEPTIBILITY OF ALLOY-600 TO INTERGRANULAR STRESS-CORROSION CRACKING USING A MODIFIED ELECTROCHEMICAL POTENTIOKINETIC REACTIVATION TEST

Ahn, MK; Kwon, Hyuk-Sang; Lee, JH, CORROSION, v.51, no.6, pp.441 - 449, 1995

158567
Predicting synthesis recipes of inorganic crystal materials using elementwise template formulation

Kim, Seongmin; Noh, Juhwan; Gu, Geun Ho; Chen, Shuan; Jung, Yousung, CHEMICAL SCIENCE, v.15, no.3, pp.1039 - 1045, 2024-01

158568
Predicting system failure rates of SRAM-based FPGA on-board processors in space radiation environments

Jung, Seunghwa; Choi, Jihwan P., RELIABILITY ENGINEERING & SYSTEM SAFETY, v.183, pp.374 - 386, 2019-03

158569
Predicting the Absorption Potential of Chemical Compounds through a Deep Learning Approach

Shin, Moonshik; Jang, Dongjin; Nam, Hojung; Lee, Kwang-Hyung; Lee, Doheon, IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, v.15, no.2, pp.432 - 440, 2018-03

158570
Predicting the adverse effect of antidiabetic drugs on cancer development

Cho, Kwang Hyun; Lee, Hwang Yeol, Proc. 16th Int. Conf. on Systems Biology (ICSB2015), Proc. 16th Int. Conf. on Systems Biology (ICSB2015), 2015-11-23

158571
Predicting the Consumer Price Index through Data Mining Tools

김형관, Korean Society of Consumer Studies Conf. Proc., pp.104 - 114, 1997

158572
Predicting the Currency Market in Online Gaming via Lexicon-Based Analysis on Its Online Forum

Kim, Young Bin; Kang, Kyeongpil; Choo, Jaegul; Kang, Shin Jin; Kim, TaeHyeong; Im, JaeHo; Kim, Jong-Hyun; et al, COMPLEXITY, v.2017, 2017-12

158573
Predicting the dislocation nucleation rate as a function of temperature and stress

Ryu, Seunghwa; Kang, Keonwook; Cai, Wei, JOURNAL OF MATERIALS RESEARCH, v.26, no.18, pp.2335 - 2354, 2011-09

158574
Predicting the effects of cultivation condition on gene regulation in Escherichia coli by using deep learning

Kwon, Mun Su; Adidjaja, Joshua Julio; Kim, Hyun Uk, COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, v.21, pp.2613 - 2620, 2023-04

158575
Predicting the effects of small molecules on transcriptome of cancer cell lines using deep learning

Jeon, Junhyeok; Lee, Sang Mi; Lee, GaRyoung; Kim, Hyun Uk, AACR Annual Meeting (replaced as AACR Virtual Annual Meeting II), American Association for Cancer Research (AACR), 2020-06-24

158576
Predicting the impact of temperature dependent multi-phonon relaxation processes on the photon avalanche behavior in Tm3+: NaYF4 nanoparticles

Szalkowski, Marcin; Dudek, Magdalena; Korczak, Zuzanna; Lee, Changhwan; Marciniak, Łukasz; Chan, Emory M.; Schuck, P. James; et al, Optical Materials: X, v.12, 2021-12

158577
Predicting the localization of extracellular matrix proteins using characteristic sequence repeats = 특징적인 서열 반복을 이용한 세포 외 기질 단백질 예측link

Jung, Ju-Hyun; 정주현; et al, 한국과학기술원, 2008

158578
Predicting the mobile consumer purchase behavior using quantified visual preferences = 정량화된 시각적선호도를 이용한 모바일 소비자 구매행태 예측link

Yu, Young Joon; Ahn, Jae Hyeon; et al, 한국과학기술원, 2017

158579
Predicting the mobile consumer purchase behavior using quantified visual preferences

Yu, Youngjoon; Ahn, Jae-Hyeon, 17th International Conference on Electronic Business: Smart Cities, ICEB 2017, pp.173 - 185, International Consortium for Electronic Business, 2017-12

158580
Predicting the multi-modal binding propensity of small molecules: towards an understanding of drug promiscuity

Park, Keun-Wan; Lee, So-Young; Ahn, Hee-Sung; Kim, Dong-Sup, MOLECULAR BIOSYSTEMS, v.5, no.8, pp.844 - 853, 2009

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