Browse "RIMS Collection" by Title
Showing results 2061 to 2080 of 11409
| Decoding method of turbo codes using a weighted parallel type and device for the same Kim, Sang-Wu; Park, Sung-Joon |
| Decoding of convolutional codes with a bit estimator Sang-Wu Kim, The 21st Symposium on Information Theory and Its Applications (SITA'98), pp.507 - 510, 1998 |
| Decoding Strategies for Reed-Solomon Product Codes: Application to Digital Video Recording Systems Sang-Wu Kim, Proc. of IEEE ICCE, pp.114 - 115, 1992 |
| Decoding Strategies for Reed-Solomon Product Codes: Application to Digital Video Recording Systems 김상우, 신호처리학술발표대회 논문집, pp.450 - 453, 1992 |
| Decoding Strategies for Reed-Solomon Product Codes: Application to Digital Video Recording Systems S.H.Kim; S.W.Kim, IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v.38, no.3, pp.243 - 246, 1992-08 |
| Decoding the Roles of Amyloid-β (1-42)’s Key Oligomerization Domains toward Designing Epitope-Specific Aggregation Inhibitors Im, Dongjoon; Kim, Soohyeong; Yoon, Gyusub; Hyun, Da Gyeong; Eom, Yu-Gon; Lee, Ye Eun; Sohn, Chang Ho; et al, JACS AU, v.3, no.4, pp.1065 - 1075, 2023-04 |
| Decomposition of Bus-Inverted Coding for Low-Power I/O Hong, Sungpack; Kim, Taewhan; Narayanan, Unni; Chung, Ki-Seok, JOURNAL OF CIRCUITS, SYSTEMS AND COMPUTERS, v.10, no.1, pp.101 - 111, 2000 |
| Decomposition of the Energy-Intensity index with Application for The Korean Manufacturing Industry k. k. ro; k. h. choi; b. w. ang, ENERGY, v.20, no.9, pp.835 - 842, 1995 |
| Decoupled deep neural network for semi-supervised semantic segmentation Hong, Seunghoon; Noh, Hyeonwoo; Han, Bohyung, 29th Annual Conference on Neural Information Processing Systems, NIPS 2015, pp.1495 - 1503, Neural Information Processing Systems Foundation, 2015-12-07 |
| Decursin attenuates the amyloid-beta-induced inflammatory response in PC12 cells via MAPK and nuclear factor-kappa B pathway Li, Li; Yang, Yiqiu; Zheng, Jingbin; Cai, Guodi; Lee, Yongwoo; Du, Jikun, PHYTOTHERAPY RESEARCH, v.32, no.2, pp.251 - 258, 2018-02 |
| Deep Asymmetric Multi-Task Feature Learning Lee, Hae Beom; Yang, Eunho; Hwang, Sung Ju, 35th International Conference on Machine Learning, ICML 2018, pp.4609 - 4619, International Machine Learning Society (IMLS), 2018-07-12 |
| Deep Learning and Geometry Flow Vector Using Estimating Vehicle Cuboid Technology in a Monovision Environment Noh, Byeongjoon; Lin, Tengfeng; Lee, Sungju; Jeong, Taikyeong, SENSORS, v.23, no.17, 2023-09 |
| Deep Learning Provides Substantial Improvements to County-Level Fire Weather Forecasting Over the Western United States Son, Rackhun; Ma, Po-Lun; Wang, Hailong; Rasch, Philp J.; Wang, Shih-Yu (Simon); Kim, Hyungjun; Jeong, Jee-Hoon; et al, JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, v.14, no.10, 2022-10 |
Deep Learning-Based Algorithm for the Detection and Characterization of MRI Safety of Cardiac Implantable Electronic Devices on Chest Radiographs Kim, Ue-Hwan; Kim, Moon Young; Park, Eun-Ah; Lee, Whal; Lim, Woo-Hyun; Kim, Hack-Lyoung; Oh, Sohee; et al, KOREAN JOURNAL OF RADIOLOGY, v.22, no.11, pp.1918 - 1928, 2021-11 |
| Deep Learning-Based Prediction of Refractive Error Using Photorefraction Images Captured by a Smartphone: Model Development and Validation Study Chun, Jaehyeong; Kim, Youngjun; Shin, Kyoung Yoon; Han, Sun Hyup; Oh, Sei Yeul; Chung, Tae-Young; Park, Kyung-Ah; et al, JMIR MEDICAL INFORMATICS, v.8, no.5, 2020-05 |
| Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare Chung, Ingyo; Kim, Saehoon; Lee, Juho; Kim, Kwang Joon; Hwang, Sung Ju; Yang, Eunho, 34th AAAI Conference on Artificial Intelligence / 32nd Innovative Applications of Artificial Intelligence Conference / 10th AAAI Symposium on Educational Advances in Artificial Intelligence, pp.3649 - 3657, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, 2020-02-07 |
| Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling Lee, Kyowoon; Kim, Sol-A; Choi, Jaesik; Lee, Seong-Whan, The 35th International Conference on Machine Learning (ICML 2018), pp.2937 - 2946, ICML, 2018-07-11 |
| Deep Reinforcement Learning-Based Optimal Decoupling Capacitor Design Method for Silicon Interposer-Based 2.5-D/3-D ICs Park, Hyunwook; Kim, Seongguk; Kim, Youngwoo; Kim, Joungho; Park, Junyong; Kim, Subin; Cho, Kyungjun; et al, IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY, v.10, no.3, pp.467 - 478, 2020-03 |
| Deep user identification model with multiple biometric data Song, Hyoung-Kyu; AlAlkeem, Ebrahim; Yun, Jaewoong; Kim, Tae-Ho; Yoo, Hyerin; Heo, Dasom; Chae, Myungsu; et al, BMC BIOINFORMATICS, v.21, no.1, 2020-07 |
| Defeating Merchants of Doubt: Subjective certainty and self-affirmation ameliorate attitude polarization via partisan motivated reasoning Han, Jiyoung; Kim, Yungwook, PUBLIC UNDERSTANDING OF SCIENCE, v.29, no.7, pp.729 - 744, 2020-10 |
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