Showing results 1 to 9 of 9
Application of reinforcement learning to deduce nuclear power plant severe accident scenario Song, Seok Ho; Lee, Yeonha; Bae, Jun Yong; Song, Kyu Sang; Seo, Mi Ro; Kim, SungJoong; Lee, Jeong-Ik, ANNALS OF NUCLEAR ENERGY, v.205, 2024-09 |
Development of robust kernel-based learning algorithms for regression and classification problems = 회귀분석과 분류 문제를 위한 강건한 커널 학습방법의 개발link Hwang, Sang-Heum; 황상흠; et al, 한국과학기술원, 2012 |
Machine Learning for Advanced Wireless Sensor Networks: A Review Kim, Taeyoung; Vecchietti, Luiz Felipe; Choi, Kyujin; Lee, Sangkeum; Har, Dongsoo, IEEE SENSORS JOURNAL, v.21, no.11, pp.12379 - 12397, 2021-06 |
P-PseudoLabel: Enhanced Pseudo-Labeling Framework With Network Pruning in Semi-Supervised Learning Ham, Gyeongdo; Cho, Yucheol; Lee, Jae-Hyeok; Kim, Dae-Shik, IEEE ACCESS, v.10, pp.115652 - 115662, 2022-10 |
Practical Distributed Reception for Wireless Body Area Networks Using Supervised Learning Cha, Jihoon; Choi, Junil; Love, David J., IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, v.21, no.7, pp.4898 - 4908, 2022-07 |
Prediction of B-coupling in the Bipartite hypergraph through link prediction in the unimodal graph = 단일모드 그래프에서 링크 예측을 통한 이분 하이퍼그래프에서 B-coupling의 예측link Kim, Bobae; Kim, Myoung Ho; et al, 한국과학기술원, 2017 |
Spatio-Temporal Deformable DETR for Weakly Supervised Defect Localization Kim, Young-Min; Yoo, Yong-Ho; Yoon, In-Ug; Myung, Hyun; Kim, Jong-Hwan, IEEE SENSORS JOURNAL, v.23, no.17, pp.19935 - 19945, 2023-09 |
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective Akcakaya, Mehmet; Yaman, Burhaneddin; Chung, Hyungjin; Ye, Jong Chul, IEEE SIGNAL PROCESSING MAGAZINE, v.39, no.2, pp.28 - 44, 2022-03 |
Unsupervised Stereo Matching Using Confidential Correspondence Consistency Joung, Sunghun; Kim, Seungryong; Park, Kihong; Sohn, Kwanghoon, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, v.21, no.5, pp.2190 - 2203, 2020-05 |
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