Browse by Subject recurrent neural network
Showing results 1 to 17 of 17
| A k-space-to-image reconstruction network for MRI using recurrent neural network Oh, Changheun; Kim, Dongchan; Chung, Jun-Young; Han, Yeji; Park, HyunWook, Medical Physics, v.48, no.1, pp.193 - 203, 2021-01 |
| Classifying travel-related intents in textual data using recurrent neural networks = 순환 신경망을 활용한 문서 내 여행 목적 분류 연구link Kim, Zae Myung; Choi, Ho-Jin; et al, 한국과학기술원, 2016 |
Code Edit Recommendation Using a Recurrent Neural Network Lee, Seonah; Lee, Jaejun; Kang, Sungwon; Ahn, Jongsun; Cho, Heetae, APPLIED SCIENCES-BASEL, v.11, no.19, pp.9286, 2021-10 |
| Data-based construction of feedback-corrected nonlinear prediction model using feedback neural networks Pan, YD; Sung, SW; Lee, JayHyung, CONTROL ENGINEERING PRACTICE, v.9, no.8, pp.859 - 867, 2001-08 |
| Estimation of Cardiac Short Axis Slice Levels with a Cascaded Deep Convolutional and Recurrent Neural Network Model Ho, Namgyu; Kim, Yoon-Chul, TOMOGRAPHY, v.8, no.6, pp.2749 - 2760, 2022-12 |
| Interaction of intelligent agents in prisoner's dilemma = 죄수의 딜레마 게임에서 지능형 에이전트의 상호작용link Cho, Min-Hyung; 조민형; et al, 한국과학기술원, 2007 |
| Latent feature representation with depth directional long-term recurrent learning for breast masses in digital breast tomosynthesis Kim, Dae Hoe; Kim, Seong Tae; Chang, Jung Min; Ro, Yong Man, PHYSICS IN MEDICINE AND BIOLOGY, v.62, no.3, pp.1009 - 1031, 2017-02 |
| Learning to generate proactive and reactive behavior using a dynamic neural network model with time-varying variance prediction mechanism Murata, Shingo; Arie, Hiroaki; Ogata, Tetsuya; Sugano, Shigeki; Tani, Jun, ADVANCED ROBOTICS, v.28, no.17, pp.1189 - 1203, 2014-10 |
| Learning to Reproduce Fluctuating Time Series by Inferring Their Time-Dependent Stochastic Properties: Application in Robot Learning Via Tutoring Murata, Shingo; Namikawa, Jun; Arie, Hiroaki; Sugano, Shigeki; Tani, Jun, IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT, v.5, no.4, pp.298 - 310, 2013-12 |
| Medical examination data prediction with missing information imputation based on recurrent neural networks Kim, Hangyu; Jang, Gil-Jin; Choi, Ho-Jin; Lim, Myungeun; Choi, Jaehun, INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, v.19, no.3, pp.202 - 220, 2017-12 |
| Optical Proximity Correction Using Bidirectional Recurrent Neural Network With Attention Mechanism Kwon, Yonghwi; Shin, Youngsoo, IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, v.34, no.2, pp.168 - 176, 2021-05 |
| Prediction of IDH genotype in gliomas with dynamic susceptibility contrast perfusion MR imaging using an explainable recurrent neural network Choi, Kyu Sung; Choi, Seung Hong; Jeong, Bumseok, NEURO-ONCOLOGY, v.21, no.9, pp.1197 - 1209, 2019-09 |
| Sensor Data Prediction in Missile Flight Tests Ryu, Sang-Gyu; Jeong, Jae Jin; Shim, David Hyunchul, SENSORS, v.22, no.23, 2022-12 |
| Tool-Body Assimilation of Humanoid Robot Using a Neurodynamical System Nishide, Shun; Tani, Jun; Takahashi, Toru; Okuno, Hiroshi G.; Ogata, Tetsuya, IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT, v.4, no.2, pp.139 - 149, 2012-06 |
| Using recurrent neural network models for early detection of heart failure onset Choi, Edward; Schuetz, Andy; Stewart, Walter F.; Sun, Jimeng, JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, v.24, no.2, pp.361 - 370, 2017-03 |
| 관심 문자열 인식 기술을 이용한 가스계량기 자동 검침 시스템 이교혁; 김태연; 김우주, 지능정보연구, v.26, no.2, pp.1 - 25, 2020-06 |
| 딥 러닝 모델을 통한 태양광 에너지 발전량 예측 = Prediction of solar energy generation by a deep learning modellink 장철훈; 김명호; et al, 한국과학기술원, 2019 |
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