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Showing results 157021 to 157040 of 275602
| Predicting long-term outcomes of educational interventions using the evolutionary causal matrices and Markov chain based on educational neuroscience Han, Hyemin; Lee, Kangwook; Soylu, Firat, TRENDS IN NEUROSCIENCE AND EDUCATION, v.5, no.4, pp.157 - 165, 2016-12 |
| Predicting low-k zeolite materials Poloni, Roberta; Kim, Jihan, JOURNAL OF MATERIALS CHEMISTRY C, v.2, no.13, pp.2298 - 2300, 2014 |
| Predicting Manufacturing Cost of CAD Models Using 3D CNN Yoo, Soyoung; Kang, Namwoo, Asian Congress of Structural and Multidisciplinary Optimization, ACSMO2020, Asian Society of Structural and Multidisciplinary Optimization, 2020-11-23 |
| PREDICTING MEMORY FOR COMPONENTS OF TV COMMERCIALS FROM EEG Rothschildand, Michael L.; Hyun, Yong Jin, JOURNAL OF CONSUMER RESEARCH, v.16, no.4, pp.472 - 478, 1990-03 |
| Predicting Mind-Wandering with Facial Videos in Online Lectures Lee, Taeckyung; Kim, Dain; Park, Sooyoung; Kim, Dongwhi; Lee, Sung-Ju, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp.2103 - 2022, IEEE, 2022-06 |
| Predicting multilingual effects on executive function and individual connectomes in children = 청소년기의 다국어 사용이 집행기능 및 뇌신경연결망에 끼치는 효과에 대한 예측 연구link Kwon, Young Hye; Jeong, Yong; et al, 한국과학기술원, 2022 |
| Predicting multilingual effects on executive function and individual connectomes in children: an ABCD study Kwaon, Younghye; Yoo, Kwangsun; Nguyen, Hillary; Jeong, Yong; Chun, Marvin, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, v.118, no.49, 2021-12 |
| Predicting multipotency of human adult stem cells derived from various donors through deep learning Kim, Hyeonji; Park, Keonhyeok; Yon, Jung-Min; Kim, Sung Won; Lee, Soo Young; Jeong, Iljoo; Jang, Jinah; et al, SCIENTIFIC REPORTS, v.12, no.1, 2022-12 |
| Predicting Museum Visitors’ Artwork Preference through Deep Learning Yi, Taeha; Kim, Hwan; Lee, Ji-Hyun, Archives of Design Research, v.35, no.4, pp.309 - 323, 2022-11 |
Predicting neurocognitive function with hippocampal volumes and DTI metrics in patients with Alzheimer's dementia and mild cognitive impairment Shim, Geumsook; Choi, Kwang-Yeon; Kim, Dohyun; Suh, Sang-il; Lee, Suji; Jeong, Hyun-Ghang; Jeong, Bumseok, BRAIN AND BEHAVIOR, v.7, no.9, 2017-09 |
| Predicting new adopters via socially-aware neural graph collaborative filtering Tsai, Yu-Che; Guan, Muzhi; Li, Cheng-Te; Cha, Meeyoung; Li, Yong; Wang, Yue, 8th International Conference on Computational Data and Social Networks, CSoNet 2019, pp.155 - 162, Springer, 2019-11 |
| Predicting Nonlinear Processes for Manufacturing Automation: Case Study through a Robotic Application s. h. kim; 김형관; h.s. oh, 대한산업공학회지, v.23, no.2, pp.249 - 260, 1997 |
| Predicting Other's Minds Using Model-based Reinforcement Learning Joo, Haram; Jeong, Inhyeok; Baek, Jong Woo; Lee, Sang Wan, SCIS&ISIS2022, SOFT Computing Repository, 2022-11-29 |
| Predicting performance limits of methane gas storage in zeolites with an artificial neural network Lee, Sangwon; Kim, Baekjun; Kim, Jihan, JOURNAL OF MATERIALS CHEMISTRY A, v.7, no.6, pp.2709 - 2716, 2019-02 |
| Predicting Pharmacodynamic Drug-Drug Interactions through Signaling Propagation Interference on Protein-Protein Interaction Networks Park, Kyunghyun; Kim, Docyong; Ha, Suhyun; Lee, Doheon, PLOS ONE, v.10, no.10, 2015-10 |
| Predicting plasma charging damage in ultra thin gate oxide by using nondestructive DCIV technique Cho, Byung Jin; Guan, H; Li, MF; Zhang, Y; Jie, BB; Xie, J; Wang, JLF, 1999 IEEE International Integrated Reliability Workshop (IRW) Final Report, pp.20 - 20, 1999-10-15 |
| Predicting plasma kinetic profiles with Gaussian process and a neural network in KSTAR based on magnetic and heating information = 가우시안 프로세스 및 인공신경망을 활용한 자기장과 가열 정보 기반 KSTAR 플라즈마 kinetic profile 예측link Kim, Minseok; Ghim, Young-Chul; et al, 한국과학기술원, 2023 |
| Predicting potential members of a logistics network platform using recommender systems = 추천 시스템을 사용하여 물류 네트워크 플랫폼의 잠재적 구성원 예측link Mintchev Krassimirov, Maxim; Lee, Jungchul; 이정철; Lee, Bong Jae; et al, 한국과학기술원, 2023 |
| Predicting potentially hazardous chemical reactions using an explainable neural network Kim, Juhwan; Gu, Geun Ho; Noh, Juhwan; Kim, Seongun; Gim, Suji; Choi, Jaesik; Jung, Yousung, CHEMICAL SCIENCE, v.12, no.33, pp.11028 - 11037, 2021-09 |
| Predicting protein interactions in human by homologous interactions in yeast Kim, H; Park, J; Han, K, ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING BOOK SERIES: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, v.2637, pp.159 - 165, 2003 |
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