검색어 : 통합검색[Introduction to deep learning :]
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951
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A Novel Reinforcement Learning Algorithm-Based Control Strategy for Grid-Configured Inverters
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Yang, Xuhong;
Wang, Jingjian;
College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
(Energies,
v.18,
2025,
pp.597)
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952
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0521 Validation of Deep Learning Algorithm Model in Automatic Scoring of the Respiratory Events in Adult Polysomnography
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Park, Marn Joon;
Choi, Ji Ho;
Ha, Tae Kyoung;
Lee, Ho Dong;
Lee, Young Jun;
Inha University Hospital, Department of Otorhinolaryngology;
Soonchunhyang University College of Medicine, Bucheon Hospital, Department of Otorhinolaryngology-Head and Neck Surgery;
Honeynaps Research and Development Center, Honeynaps Co. Ltd;
Honeynaps Research and Development Center, Honeynaps Co. Ltd;
Honeynaps Research and Development Center, Honeynaps Co. Ltd;
(Sleep : A publication of the Sleep Research Society,
v.47,
2024,
pp.A223-A224)
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953
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심층 강화학습 기반 자율운항 CTV의 해상풍력발전단지 내 장애물 회피 시스템
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김진균;
전해명;
노재규;
Kunsan National University;
Kunsan National University;
Kunsan National University;
(대한임베디드공학회논문지 = IEMEK Journal of embedded systems and applications,
v.19,
2024,
pp.131-139)
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954
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Traffic Scene Segmentation Based on RGB-D Image and Deep Learning
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Li, Linhui;
Qian, Bo;
Lian, Jing;
Zheng, Weina;
Zhou, Yafu;
Faculty of Vehicle Engineering and Mechanics, School of Automotive Engineering, Dalian University of Technology, Dalian, China;
Faculty of Vehicle Engineering and Mechanics, School of Automotive Engineering, Dalian University of Technology, Dalian, China;
Faculty of Vehicle Engineering and Mechanics, School of Automotive Engineering, Dalian University of Technology, Dalian, China;
Faculty of Vehicle Engineering and Mechanics, School of Automotive Engineering, Dalian University of Technology, Dalian, China;
Faculty of Vehicle Engineering and Mechanics, School of Automotive Engineering, Dalian University of Technology, Dalian, China;
(IEEE transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council,
v.19,
2018,
pp.1664-1669)
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955
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Deep learning-driven medical image analysis for computational material science applications
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Lu, Li;
Liang, Mingpei;
;
(Frontiers in Materials,
v.12,
2025,
pp.1583615)
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956
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Using supervised machine learning classifiers to estimate likelihood of participating in clinical trials of a de-identified version of ResearchMatch
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Vazquez, Janette;
Abdelrahman, Samir;
Byrne, Loretta M.;
Russell, Michael;
Harris, Paul;
Facelli, Julio C.;
Department of Biomedical Informatics, University of Utah , Salt Lake City , UT , USA;
Department of Biomedical Informatics, University of Utah , Salt Lake City , UT , USA;
Vanderbilt University , Nashville , TN , USA;
Vanderbilt University , Nashville , TN , USA;
Vanderbilt University , Nashville , TN , USA;
Department of Biomedical Informatics, University of Utah , Salt Lake City , UT , USA;
(Journal of clinical and translational science,
v.5,
2021,
pp.e42)
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957.
- 원격 탐사에서 통합 다중 스케일과 반지도 학습을 이용한 목표 탐지 연구
- 저우창만
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경남대학교 대학원, 국내박사,
141, 2025
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958
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Big data from smart grids
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Bagheri, Azam;
Bollen, Math H.J.;
Gu, Irene Y.H.;
;
(Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2017 IEEE PES,
v.2017,
2017,
pp.1-5)
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959
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Direct shape optimization through deep reinforcement learning
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Viquerat, Jonathan;
Rabault, Jean;
Kuhnle, Alexander;
Ghraieb, Hassan;
Larcher, Auré
lien;
Hachem, Elie;
MINES Paristech, CEMEF, PSL - Research University;
Department of Mathematics, University of Oslo;
University of Cambridge;
MINES Paristech, CEMEF, PSL - Research University;
MINES Paristech, CEMEF, PSL - Research University;
MINES Paristech, CEMEF, PSL - Research University;
(Journal of computational physics,
v.428,
2021,
pp.110080)
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960
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Human Behavior Recognition Based on Deep Learning
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Chen, Yin;
Tiangong University, School of Physical Science and Technology, Tianjin, China;
(Artificial Intelligence, Networking and Information Technology (AINIT), 2021 2nd International Seminar on,
v.2021,
2021,
pp.88-91)